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You searched for subject:(Particle filtering). Showing records 1 – 30 of 124 total matches.

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1. Μακρής, Αλέξανδρος. A multimedia content modeling and classification methodology using visual information for the protection of sensitive user groups.

Degree: 2010, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ)

The thesis concerns the problems of visual tracking and violence detection in video sequences. For the visual tracking problem, two feature fusion frameworks are presented.… (more)

Subjects/Keywords: Φίλτρα σωματιδίων; Οπτική παρακολούθηση; Φιλτράρισμα; Εντοπισμός βίας; Οπτικοακουστικός συγκερασμός; Particle filters; Visual tracking; Bayesian filtering; Violence detection; Audio-visual fusion

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APA (6th Edition):

Μακρής, . . (2010). A multimedia content modeling and classification methodology using visual information for the protection of sensitive user groups. (Thesis). National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Retrieved from http://hdl.handle.net/10442/hedi/23750

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Μακρής, Αλέξανδρος. “A multimedia content modeling and classification methodology using visual information for the protection of sensitive user groups.” 2010. Thesis, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Accessed December 08, 2019. http://hdl.handle.net/10442/hedi/23750.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Μακρής, Αλέξανδρος. “A multimedia content modeling and classification methodology using visual information for the protection of sensitive user groups.” 2010. Web. 08 Dec 2019.

Vancouver:

Μακρής . A multimedia content modeling and classification methodology using visual information for the protection of sensitive user groups. [Internet] [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2010. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10442/hedi/23750.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Μακρής . A multimedia content modeling and classification methodology using visual information for the protection of sensitive user groups. [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2010. Available from: http://hdl.handle.net/10442/hedi/23750

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Acosta Argueta, Lesly María. Particle filtering estimation for linear and nonlinear state-space models.

Degree: Departament d'Estadística i Investigació Operativa, 2013, Universitat Politècnica de Catalunya

 La estimación secuencial de los estados (filtrado) y la correspondiente estimación simultánea de los estados y los parámetros fijos de un modelo dinámico formulado en… (more)

Subjects/Keywords: Particle filtering; Sequential Monte Carlo method; Kalman filter; Parameter estimation; State-space model; Linear local level and AR(1) plus noise models; Nonlinear stochastic volatility model; Residual and stratified resampling; Signal-to-Noise ratio; 311

particle filtering methodology– the states and/or the fixed parameters of a nonstandard dynamic… …the particle filtering methodology in a linear and Gaussian context, using the exact Kalman… …performance of the particle filtering methodology in a nonlinear context. Specifically, a synthetic… …also relevant issues within the particle filtering methodology are discussed, such as the… …la variant del filtre de partícules anomenada Kalman Particle Filtering with Jittering… 

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APA (6th Edition):

Acosta Argueta, L. M. (2013). Particle filtering estimation for linear and nonlinear state-space models. (Thesis). Universitat Politècnica de Catalunya. Retrieved from http://hdl.handle.net/10803/134356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Acosta Argueta, Lesly María. “Particle filtering estimation for linear and nonlinear state-space models.” 2013. Thesis, Universitat Politècnica de Catalunya. Accessed December 08, 2019. http://hdl.handle.net/10803/134356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Acosta Argueta, Lesly María. “Particle filtering estimation for linear and nonlinear state-space models.” 2013. Web. 08 Dec 2019.

Vancouver:

Acosta Argueta LM. Particle filtering estimation for linear and nonlinear state-space models. [Internet] [Thesis]. Universitat Politècnica de Catalunya; 2013. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10803/134356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Acosta Argueta LM. Particle filtering estimation for linear and nonlinear state-space models. [Thesis]. Universitat Politècnica de Catalunya; 2013. Available from: http://hdl.handle.net/10803/134356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

3. Ahmed, Nasrellah Hassan. Dynamic State Estimation Techniques For Identification Of Parameters Of Finite Element Structural Models.

Degree: 2009, Indian Institute of Science

 The thesis outlines the development and application of a few novel dynamic state estimation based methods for estimation of parameters of vibrating engineering structures. The… (more)

Subjects/Keywords: Structural Analysis; Finite Element Method; State Estimation; Parameter Estimation; Extended Kalman Filter (EKF); Structural System Identification; Particle Filter; Kalman Filtering; Particle Filtering Algorithm; Structural Engineering

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APA (6th Edition):

Ahmed, N. H. (2009). Dynamic State Estimation Techniques For Identification Of Parameters Of Finite Element Structural Models. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/675

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ahmed, Nasrellah Hassan. “Dynamic State Estimation Techniques For Identification Of Parameters Of Finite Element Structural Models.” 2009. Thesis, Indian Institute of Science. Accessed December 08, 2019. http://hdl.handle.net/2005/675.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ahmed, Nasrellah Hassan. “Dynamic State Estimation Techniques For Identification Of Parameters Of Finite Element Structural Models.” 2009. Web. 08 Dec 2019.

Vancouver:

Ahmed NH. Dynamic State Estimation Techniques For Identification Of Parameters Of Finite Element Structural Models. [Internet] [Thesis]. Indian Institute of Science; 2009. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/2005/675.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ahmed NH. Dynamic State Estimation Techniques For Identification Of Parameters Of Finite Element Structural Models. [Thesis]. Indian Institute of Science; 2009. Available from: http://hdl.handle.net/2005/675

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Michigan

4. Alpay, Bulent. Degradation Monitoring Using Probabilistic Inference.

Degree: PhD, Nuclear Engineering & Radiological Sciences, 2008, University of Michigan

 In order to increase safety and improve economy and performance in a nuclear power plant (NPP), the source and extent of component degradations should be… (more)

Subjects/Keywords: Degradation Monitoring; Particle Filtering; Sample Impoverishment; Nuclear Engineering and Radiological Sciences; Engineering

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APA (6th Edition):

Alpay, B. (2008). Degradation Monitoring Using Probabilistic Inference. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/60690

Chicago Manual of Style (16th Edition):

Alpay, Bulent. “Degradation Monitoring Using Probabilistic Inference.” 2008. Doctoral Dissertation, University of Michigan. Accessed December 08, 2019. http://hdl.handle.net/2027.42/60690.

MLA Handbook (7th Edition):

Alpay, Bulent. “Degradation Monitoring Using Probabilistic Inference.” 2008. Web. 08 Dec 2019.

Vancouver:

Alpay B. Degradation Monitoring Using Probabilistic Inference. [Internet] [Doctoral dissertation]. University of Michigan; 2008. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/2027.42/60690.

Council of Science Editors:

Alpay B. Degradation Monitoring Using Probabilistic Inference. [Doctoral Dissertation]. University of Michigan; 2008. Available from: http://hdl.handle.net/2027.42/60690


Université de Montréal

5. Augustyniak, Maciej. Estimation du modèle GARCH à changement de régimes et son utilité pour quantifier le risque de modèle dans les applications financières en actuariat .

Degree: 2014, Université de Montréal

 Le modèle GARCH à changement de régimes est le fondement de cette thèse. Ce modèle offre de riches dynamiques pour modéliser les données financières en… (more)

Subjects/Keywords: Économétrie financière; Changement de régimes; GARCH; Maximum de vraisemblance; Filtre particulaire; Algorithme EM; Risque de modèle; Couverture dynamique; Efficacité de la couverture; Fonds distincts; Financial econometrics; Regime-switching; GARCH; Maximum likelihood; Particle filtering; EM algorithm; Model risk; Dynamic hedging; Hedging effectiveness; Variable annuities

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APA (6th Edition):

Augustyniak, M. (2014). Estimation du modèle GARCH à changement de régimes et son utilité pour quantifier le risque de modèle dans les applications financières en actuariat . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/10826

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Augustyniak, Maciej. “Estimation du modèle GARCH à changement de régimes et son utilité pour quantifier le risque de modèle dans les applications financières en actuariat .” 2014. Thesis, Université de Montréal. Accessed December 08, 2019. http://hdl.handle.net/1866/10826.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Augustyniak, Maciej. “Estimation du modèle GARCH à changement de régimes et son utilité pour quantifier le risque de modèle dans les applications financières en actuariat .” 2014. Web. 08 Dec 2019.

Vancouver:

Augustyniak M. Estimation du modèle GARCH à changement de régimes et son utilité pour quantifier le risque de modèle dans les applications financières en actuariat . [Internet] [Thesis]. Université de Montréal; 2014. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1866/10826.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Augustyniak M. Estimation du modèle GARCH à changement de régimes et son utilité pour quantifier le risque de modèle dans les applications financières en actuariat . [Thesis]. Université de Montréal; 2014. Available from: http://hdl.handle.net/1866/10826

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


New Jersey Institute of Technology

6. Aunsri, Nattapol. Particle filtering for frequency estimation from acoustic time-series in dispersive media.

Degree: PhD, Mathematical Sciences, 2013, New Jersey Institute of Technology

  Acoustic signals propagating in the ocean carry information about geometry and environmental parameters within the propagation medium. Accurately retrieving this information leads us to… (more)

Subjects/Keywords: Frequency estimation; Particle filtering; Bayesian filtering; Sequential Monte Carlo; Underwater acoustics; Signal processing; Mathematics

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APA (6th Edition):

Aunsri, N. (2013). Particle filtering for frequency estimation from acoustic time-series in dispersive media. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/139

Chicago Manual of Style (16th Edition):

Aunsri, Nattapol. “Particle filtering for frequency estimation from acoustic time-series in dispersive media.” 2013. Doctoral Dissertation, New Jersey Institute of Technology. Accessed December 08, 2019. https://digitalcommons.njit.edu/dissertations/139.

MLA Handbook (7th Edition):

Aunsri, Nattapol. “Particle filtering for frequency estimation from acoustic time-series in dispersive media.” 2013. Web. 08 Dec 2019.

Vancouver:

Aunsri N. Particle filtering for frequency estimation from acoustic time-series in dispersive media. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2013. [cited 2019 Dec 08]. Available from: https://digitalcommons.njit.edu/dissertations/139.

Council of Science Editors:

Aunsri N. Particle filtering for frequency estimation from acoustic time-series in dispersive media. [Doctoral Dissertation]. New Jersey Institute of Technology; 2013. Available from: https://digitalcommons.njit.edu/dissertations/139


Clemson University

7. Banerjee, Salil. Improving Accuracy in Ultra-Wideband Indoor Position Tracking through Noise Modeling and Augmentation.

Degree: PhD, Electrical Engineering, 2012, Clemson University

 The goal of this research is to improve the precision in tracking of an ultra-wideband (UWB) based Local Positioning System (LPS). This work is motivated… (more)

Subjects/Keywords: Differential LPS; Multi-object tracking; Particle filtering; Sensor Fusion; Sensor set switching noise; Ultra-wideband; Electrical and Computer Engineering

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APA (6th Edition):

Banerjee, S. (2012). Improving Accuracy in Ultra-Wideband Indoor Position Tracking through Noise Modeling and Augmentation. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1066

Chicago Manual of Style (16th Edition):

Banerjee, Salil. “Improving Accuracy in Ultra-Wideband Indoor Position Tracking through Noise Modeling and Augmentation.” 2012. Doctoral Dissertation, Clemson University. Accessed December 08, 2019. https://tigerprints.clemson.edu/all_dissertations/1066.

MLA Handbook (7th Edition):

Banerjee, Salil. “Improving Accuracy in Ultra-Wideband Indoor Position Tracking through Noise Modeling and Augmentation.” 2012. Web. 08 Dec 2019.

Vancouver:

Banerjee S. Improving Accuracy in Ultra-Wideband Indoor Position Tracking through Noise Modeling and Augmentation. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2019 Dec 08]. Available from: https://tigerprints.clemson.edu/all_dissertations/1066.

Council of Science Editors:

Banerjee S. Improving Accuracy in Ultra-Wideband Indoor Position Tracking through Noise Modeling and Augmentation. [Doctoral Dissertation]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_dissertations/1066

8. Bartram, Gregory Walsh. System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks.

Degree: PhD, Civil Engineering, 2013, Vanderbilt University

 This dissertation develops a methodology that provides information to make optimal decisions with respect to the mission and maintenance of a system. A great amount… (more)

Subjects/Keywords: dynamic bayesian network; diagnosis; prognosis; decision making; particle filtering

…a sequential Monte Carlo approximation called particle filtering. The particle filter… …quantified in the context of particle filtering by estimating the probability of detecting any… …Quantification of diagnosis uncertainty in the context of particle filtering is developed. Diagnosis is… …DBNs built from expert opinion and observational data in a factored particle filtering… …47 Figure 9. True fault value and particle filter MAP estimates… 

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APA (6th Edition):

Bartram, G. W. (2013). System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07312013-170858/ ;

Chicago Manual of Style (16th Edition):

Bartram, Gregory Walsh. “System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019. http://etd.library.vanderbilt.edu/available/etd-07312013-170858/ ;.

MLA Handbook (7th Edition):

Bartram, Gregory Walsh. “System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks.” 2013. Web. 08 Dec 2019.

Vancouver:

Bartram GW. System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2019 Dec 08]. Available from: http://etd.library.vanderbilt.edu/available/etd-07312013-170858/ ;.

Council of Science Editors:

Bartram GW. System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://etd.library.vanderbilt.edu/available/etd-07312013-170858/ ;


Brno University of Technology

9. Benko, Matej. Vyhodnocení úspěšnosti filtrů při sledování cílů .

Degree: 2019, Brno University of Technology

 Táto bakalárska práca sa zaoberá využitím Bayesovho odhadu skrytého stavu na vedenie cieľa pomocou bistatického radaru. Sústredí sa na časticové filtre. Ukázalo sa, že sa… (more)

Subjects/Keywords: bistatický radar; Bayesov odhad skrytého stavu; časticová filtrácia; bistatic radar; Optimal Bayesian estimate; particle filtering

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APA (6th Edition):

Benko, M. (2019). Vyhodnocení úspěšnosti filtrů při sledování cílů . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/179356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Benko, Matej. “Vyhodnocení úspěšnosti filtrů při sledování cílů .” 2019. Thesis, Brno University of Technology. Accessed December 08, 2019. http://hdl.handle.net/11012/179356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Benko, Matej. “Vyhodnocení úspěšnosti filtrů při sledování cílů .” 2019. Web. 08 Dec 2019.

Vancouver:

Benko M. Vyhodnocení úspěšnosti filtrů při sledování cílů . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/11012/179356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Benko M. Vyhodnocení úspěšnosti filtrů při sledování cílů . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/179356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Victoria

10. Benning, Manjinder. Kalman filtering for computer music applications.

Degree: Dept. of Electrical and Computer Engineering, 2007, University of Victoria

 This thesis discusses the use of Kalman filtering for noise reduction in a 3-D gesture- based computer music controller known as the Radio Drum and… (more)

Subjects/Keywords: Kalman Filtering; Computer Music; Tempo Tracking; Radio Drum; Noise Reduction; Adaptive Filtering; Particle Filtering; Wearable Sensors; Audio Signal Processing; UVic Subject Index::Sciences and Engineering::Engineering::Electrical engineering; UVic Subject Index::Humanities and Social Sciences::Communication and the Arts::Music

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APA (6th Edition):

Benning, M. (2007). Kalman filtering for computer music applications. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/205

Chicago Manual of Style (16th Edition):

Benning, Manjinder. “Kalman filtering for computer music applications.” 2007. Masters Thesis, University of Victoria. Accessed December 08, 2019. http://hdl.handle.net/1828/205.

MLA Handbook (7th Edition):

Benning, Manjinder. “Kalman filtering for computer music applications.” 2007. Web. 08 Dec 2019.

Vancouver:

Benning M. Kalman filtering for computer music applications. [Internet] [Masters thesis]. University of Victoria; 2007. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1828/205.

Council of Science Editors:

Benning M. Kalman filtering for computer music applications. [Masters Thesis]. University of Victoria; 2007. Available from: http://hdl.handle.net/1828/205


University of Lund

11. Berntorp, Karl. Particle Filtering and Optimal Control for Vehicles and Robots.

Degree: 2014, University of Lund

 This thesis covers areas within estimation and optimal control of vehicles, in particular four-wheeled vehicles. One topic is how to handle delayed and out-of-sequence measurements… (more)

Subjects/Keywords: Reglerteknik; particle filtering; optimal control; automotive systems; out-of-sequence measurement; autonomy; model predictive control; sensor fusion; wheel slip; dynamic optimization

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APA (6th Edition):

Berntorp, K. (2014). Particle Filtering and Optimal Control for Vehicles and Robots. (Doctoral Dissertation). University of Lund. Retrieved from http://lup.lub.lu.se/record/4407277 ; http://portal.research.lu.se/ws/files/3352295/4407278.pdf

Chicago Manual of Style (16th Edition):

Berntorp, Karl. “Particle Filtering and Optimal Control for Vehicles and Robots.” 2014. Doctoral Dissertation, University of Lund. Accessed December 08, 2019. http://lup.lub.lu.se/record/4407277 ; http://portal.research.lu.se/ws/files/3352295/4407278.pdf.

MLA Handbook (7th Edition):

Berntorp, Karl. “Particle Filtering and Optimal Control for Vehicles and Robots.” 2014. Web. 08 Dec 2019.

Vancouver:

Berntorp K. Particle Filtering and Optimal Control for Vehicles and Robots. [Internet] [Doctoral dissertation]. University of Lund; 2014. [cited 2019 Dec 08]. Available from: http://lup.lub.lu.se/record/4407277 ; http://portal.research.lu.se/ws/files/3352295/4407278.pdf.

Council of Science Editors:

Berntorp K. Particle Filtering and Optimal Control for Vehicles and Robots. [Doctoral Dissertation]. University of Lund; 2014. Available from: http://lup.lub.lu.se/record/4407277 ; http://portal.research.lu.se/ws/files/3352295/4407278.pdf


University of Lund

12. Bizjajeva, Svetlana. Sequential Monte Carlo Methods with Applications to Positioning and Tracking in Wireless Networks.

Degree: 2008, University of Lund

 This thesis is based on 5 papers exploring the filtering problem in non-linear non-Gaussian state-space models together with applications of Sequential Monte Carlo (also called… (more)

Subjects/Keywords: Sannolikhetsteori och statistik; positioning; state-space models; SMCM; particle filtering

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APA (6th Edition):

Bizjajeva, S. (2008). Sequential Monte Carlo Methods with Applications to Positioning and Tracking in Wireless Networks. (Doctoral Dissertation). University of Lund. Retrieved from http://lup.lub.lu.se/record/1227795 ; http://portal.research.lu.se/ws/files/3214141/1227796.pdf

Chicago Manual of Style (16th Edition):

Bizjajeva, Svetlana. “Sequential Monte Carlo Methods with Applications to Positioning and Tracking in Wireless Networks.” 2008. Doctoral Dissertation, University of Lund. Accessed December 08, 2019. http://lup.lub.lu.se/record/1227795 ; http://portal.research.lu.se/ws/files/3214141/1227796.pdf.

MLA Handbook (7th Edition):

Bizjajeva, Svetlana. “Sequential Monte Carlo Methods with Applications to Positioning and Tracking in Wireless Networks.” 2008. Web. 08 Dec 2019.

Vancouver:

Bizjajeva S. Sequential Monte Carlo Methods with Applications to Positioning and Tracking in Wireless Networks. [Internet] [Doctoral dissertation]. University of Lund; 2008. [cited 2019 Dec 08]. Available from: http://lup.lub.lu.se/record/1227795 ; http://portal.research.lu.se/ws/files/3214141/1227796.pdf.

Council of Science Editors:

Bizjajeva S. Sequential Monte Carlo Methods with Applications to Positioning and Tracking in Wireless Networks. [Doctoral Dissertation]. University of Lund; 2008. Available from: http://lup.lub.lu.se/record/1227795 ; http://portal.research.lu.se/ws/files/3214141/1227796.pdf


Texas A&M University

13. Boddikurapati, Sirish. Sequential Monte Carlo Methods With Applications To Communication Channels.

Degree: 2010, Texas A&M University

 Estimating the state of a system from noisy measurements is a problem which arises in a variety of scientific and industrial areas which include signal… (more)

Subjects/Keywords: Particle filtering; Sequential Monte Carlo filtering; Markovian chains; Recursive Bayesian filtering; Continuous-Discrete particle filter; optical fiber propagation; capacity of optical fiber; information rate using particle filtering

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APA (6th Edition):

Boddikurapati, S. (2010). Sequential Monte Carlo Methods With Applications To Communication Channels. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7537

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Boddikurapati, Sirish. “Sequential Monte Carlo Methods With Applications To Communication Channels.” 2010. Thesis, Texas A&M University. Accessed December 08, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7537.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Boddikurapati, Sirish. “Sequential Monte Carlo Methods With Applications To Communication Channels.” 2010. Web. 08 Dec 2019.

Vancouver:

Boddikurapati S. Sequential Monte Carlo Methods With Applications To Communication Channels. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7537.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Boddikurapati S. Sequential Monte Carlo Methods With Applications To Communication Channels. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7537

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

14. Bolandhemmat, Hamidreza. Distributed Sensing and Observer Design for Vehicles State Estimation.

Degree: 2009, University of Waterloo

 A solution to the vehicle state estimation problem is given using the Kalman filtering and the Particle filtering theories. Vehicle states are necessary for an… (more)

Subjects/Keywords: Vehicles State Estimation; Systems with Unknown Inputs/Disturbances; Kalman Filtering; Unscented Kalman Filtering; Bayesian Estimation and Particle Filtering; Real-time Experiments

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bolandhemmat, H. (2009). Distributed Sensing and Observer Design for Vehicles State Estimation. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4471

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bolandhemmat, Hamidreza. “Distributed Sensing and Observer Design for Vehicles State Estimation.” 2009. Thesis, University of Waterloo. Accessed December 08, 2019. http://hdl.handle.net/10012/4471.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bolandhemmat, Hamidreza. “Distributed Sensing and Observer Design for Vehicles State Estimation.” 2009. Web. 08 Dec 2019.

Vancouver:

Bolandhemmat H. Distributed Sensing and Observer Design for Vehicles State Estimation. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10012/4471.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bolandhemmat H. Distributed Sensing and Observer Design for Vehicles State Estimation. [Thesis]. University of Waterloo; 2009. Available from: http://hdl.handle.net/10012/4471

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brigham Young University

15. Bradley, Justin Mathew. Particle Filter Based Mosaicking for Forest Fire Tracking.

Degree: MS, 2007, Brigham Young University

 Using autonomous miniature air vehicles (MAVs) is a cost-effective, simple method for collecting data about the size, shape, and location characteristics of a forest fire.… (more)

Subjects/Keywords: MAV; UAV; forest fire tracking; mosaic; particle filter; remote sensing; computer vision; sequential monte carlo; MAGICC lab; infrared; geolocation; bayesian filtering; Electrical and Computer Engineering

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APA (6th Edition):

Bradley, J. M. (2007). Particle Filter Based Mosaicking for Forest Fire Tracking. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1982&context=etd

Chicago Manual of Style (16th Edition):

Bradley, Justin Mathew. “Particle Filter Based Mosaicking for Forest Fire Tracking.” 2007. Masters Thesis, Brigham Young University. Accessed December 08, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1982&context=etd.

MLA Handbook (7th Edition):

Bradley, Justin Mathew. “Particle Filter Based Mosaicking for Forest Fire Tracking.” 2007. Web. 08 Dec 2019.

Vancouver:

Bradley JM. Particle Filter Based Mosaicking for Forest Fire Tracking. [Internet] [Masters thesis]. Brigham Young University; 2007. [cited 2019 Dec 08]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1982&context=etd.

Council of Science Editors:

Bradley JM. Particle Filter Based Mosaicking for Forest Fire Tracking. [Masters Thesis]. Brigham Young University; 2007. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1982&context=etd


University of Arizona

16. Celik, Nurcin. INTEGRATED DECISION MAKING FOR PLANNING AND CONTROL OF DISTRIBUTED MANUFACTURING ENTERPRISES USING DYNAMIC-DATA-DRIVEN ADAPTIVE MULTI-SCALE SIMULATIONS (DDDAMS) .

Degree: 2010, University of Arizona

 Discrete-event simulation has become one of the most widely used analysis tools for large-scale, complex and dynamic systems such as supply chains as it can… (more)

Subjects/Keywords: Adaptive simulations; Distributed simulation; Dynamic data driven simulations; Particle filtering; Resampling rules; Simulation-based control

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APA (6th Edition):

Celik, N. (2010). INTEGRATED DECISION MAKING FOR PLANNING AND CONTROL OF DISTRIBUTED MANUFACTURING ENTERPRISES USING DYNAMIC-DATA-DRIVEN ADAPTIVE MULTI-SCALE SIMULATIONS (DDDAMS) . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/195427

Chicago Manual of Style (16th Edition):

Celik, Nurcin. “INTEGRATED DECISION MAKING FOR PLANNING AND CONTROL OF DISTRIBUTED MANUFACTURING ENTERPRISES USING DYNAMIC-DATA-DRIVEN ADAPTIVE MULTI-SCALE SIMULATIONS (DDDAMS) .” 2010. Doctoral Dissertation, University of Arizona. Accessed December 08, 2019. http://hdl.handle.net/10150/195427.

MLA Handbook (7th Edition):

Celik, Nurcin. “INTEGRATED DECISION MAKING FOR PLANNING AND CONTROL OF DISTRIBUTED MANUFACTURING ENTERPRISES USING DYNAMIC-DATA-DRIVEN ADAPTIVE MULTI-SCALE SIMULATIONS (DDDAMS) .” 2010. Web. 08 Dec 2019.

Vancouver:

Celik N. INTEGRATED DECISION MAKING FOR PLANNING AND CONTROL OF DISTRIBUTED MANUFACTURING ENTERPRISES USING DYNAMIC-DATA-DRIVEN ADAPTIVE MULTI-SCALE SIMULATIONS (DDDAMS) . [Internet] [Doctoral dissertation]. University of Arizona; 2010. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10150/195427.

Council of Science Editors:

Celik N. INTEGRATED DECISION MAKING FOR PLANNING AND CONTROL OF DISTRIBUTED MANUFACTURING ENTERPRISES USING DYNAMIC-DATA-DRIVEN ADAPTIVE MULTI-SCALE SIMULATIONS (DDDAMS) . [Doctoral Dissertation]. University of Arizona; 2010. Available from: http://hdl.handle.net/10150/195427

17. Chau, Thi Tuyet Trang. Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models : Méthodologies non-paramétriques pour la reconstruction et l’estimation dans les modèles d’états non linéaires.

Degree: Docteur es, Mathématiques et leurs interactions, 2019, Rennes 1

 Le volume des données disponibles permettant de décrire l’environnement, en particulier l’atmosphère et les océans, s’est accru à un rythme exponentiel. Ces données regroupent des… (more)

Subjects/Keywords: Estimation non-Paramétrique; Les algorithmes EM; Régression locale; Conditional particle filtering; Lissage; Modèles statistiques spatio- temporels non-Linéaires; Non-Parametric estimation; EM algorithms; Local regression; Conditional particle filtering; Smoothing; Nonlinear state-Space models

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APA (6th Edition):

Chau, T. T. T. (2019). Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models : Méthodologies non-paramétriques pour la reconstruction et l’estimation dans les modèles d’états non linéaires. (Doctoral Dissertation). Rennes 1. Retrieved from http://www.theses.fr/2019REN1S010

Chicago Manual of Style (16th Edition):

Chau, Thi Tuyet Trang. “Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models : Méthodologies non-paramétriques pour la reconstruction et l’estimation dans les modèles d’états non linéaires.” 2019. Doctoral Dissertation, Rennes 1. Accessed December 08, 2019. http://www.theses.fr/2019REN1S010.

MLA Handbook (7th Edition):

Chau, Thi Tuyet Trang. “Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models : Méthodologies non-paramétriques pour la reconstruction et l’estimation dans les modèles d’états non linéaires.” 2019. Web. 08 Dec 2019.

Vancouver:

Chau TTT. Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models : Méthodologies non-paramétriques pour la reconstruction et l’estimation dans les modèles d’états non linéaires. [Internet] [Doctoral dissertation]. Rennes 1; 2019. [cited 2019 Dec 08]. Available from: http://www.theses.fr/2019REN1S010.

Council of Science Editors:

Chau TTT. Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models : Méthodologies non-paramétriques pour la reconstruction et l’estimation dans les modèles d’états non linéaires. [Doctoral Dissertation]. Rennes 1; 2019. Available from: http://www.theses.fr/2019REN1S010

18. Chavali, Srinivas Phani Kumar. Multiple-Target Tracking in Complex Scenarios.

Degree: PhD, Electrical and Systems Engineering, 2013, Washington University in St. Louis

  In this dissertation, we develop computationally efficient algorithms for multiple-target tracking: MTT) in complex scenarios. For each of these scenarios, we develop measurement and… (more)

Subjects/Keywords: data association; game theory; particle filtering; sequential bayesian estimation; sparse model; target tracking; Electrical and Computer Engineering

…Gaussian models. 6 1.1.2 Particle Filtering Particle filtering [18], [19]… …x5B;20] is a Monte Carlo approach to address the Bayesian filtering, and particle… …samples with equal weights. Resampling is a crucial step 8 in particle filtering, since after… …targets simultaneously. We then use particle filtering on the reduced dimensional state of each… …the assumption that the channel state is known. We develop a new particle filter called the… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chavali, S. P. K. (2013). Multiple-Target Tracking in Complex Scenarios. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/etd/1180

Chicago Manual of Style (16th Edition):

Chavali, Srinivas Phani Kumar. “Multiple-Target Tracking in Complex Scenarios.” 2013. Doctoral Dissertation, Washington University in St. Louis. Accessed December 08, 2019. https://openscholarship.wustl.edu/etd/1180.

MLA Handbook (7th Edition):

Chavali, Srinivas Phani Kumar. “Multiple-Target Tracking in Complex Scenarios.” 2013. Web. 08 Dec 2019.

Vancouver:

Chavali SPK. Multiple-Target Tracking in Complex Scenarios. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2013. [cited 2019 Dec 08]. Available from: https://openscholarship.wustl.edu/etd/1180.

Council of Science Editors:

Chavali SPK. Multiple-Target Tracking in Complex Scenarios. [Doctoral Dissertation]. Washington University in St. Louis; 2013. Available from: https://openscholarship.wustl.edu/etd/1180


Duke University

19. Chen, Hao. Structural Estimation Using Sequential Monte Carlo Methods .

Degree: 2011, Duke University

  This dissertation aims to introduce a new sequential Monte Carlo (SMC) based estimation framework for structural models used in macroeconomics and industrial organization. Current… (more)

Subjects/Keywords: Statistics; Economics; DSGE; Dynamic Discrete Games; Particle Filtering; Sequential Monte Carlo; Serial Correlation; Unobserved Endogenous Variables

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APA (6th Edition):

Chen, H. (2011). Structural Estimation Using Sequential Monte Carlo Methods . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/4960

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Hao. “Structural Estimation Using Sequential Monte Carlo Methods .” 2011. Thesis, Duke University. Accessed December 08, 2019. http://hdl.handle.net/10161/4960.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Hao. “Structural Estimation Using Sequential Monte Carlo Methods .” 2011. Web. 08 Dec 2019.

Vancouver:

Chen H. Structural Estimation Using Sequential Monte Carlo Methods . [Internet] [Thesis]. Duke University; 2011. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10161/4960.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen H. Structural Estimation Using Sequential Monte Carlo Methods . [Thesis]. Duke University; 2011. Available from: http://hdl.handle.net/10161/4960

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

20. Chikkerur, Vishal. Model reduction of linear and nonlinear systems using balancing methods.

Degree: MS, 4048, 2010, University of Illinois – Urbana-Champaign

 This thesis presents a review of the existing body of knowledge pertaining to model reduction using balancing techniques. A simple linear system is studied in… (more)

Subjects/Keywords: Nonlinear; Balancing; Systems; Vortices; Filtering; Particle; Fokker-Planck; Control; Noise

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APA (6th Edition):

Chikkerur, V. (2010). Model reduction of linear and nonlinear systems using balancing methods. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16914

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chikkerur, Vishal. “Model reduction of linear and nonlinear systems using balancing methods.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed December 08, 2019. http://hdl.handle.net/2142/16914.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chikkerur, Vishal. “Model reduction of linear and nonlinear systems using balancing methods.” 2010. Web. 08 Dec 2019.

Vancouver:

Chikkerur V. Model reduction of linear and nonlinear systems using balancing methods. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/2142/16914.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chikkerur V. Model reduction of linear and nonlinear systems using balancing methods. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16914

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Choi, Changhyun. Visual object perception in unstructured environments.

Degree: PhD, Interactive Computing, 2014, Georgia Tech

 As robotic systems move from well-controlled settings to increasingly unstructured environments, they are required to operate in highly dynamic and cluttered scenarios. Finding an object,… (more)

Subjects/Keywords: Computer vision; Robotic perception; Visual tracking; Object recognition; Pose estimation; Particle filtering; Voting process; RGB-D camera; Monocular; Geometric feature; Photometric feature; Unstructured environments; GPU; Real-time

…37 3.12 e 6-D pose and normalized residual plots of the results of our particle filter and… …38 3.13 A comparison between the tracking results of our particle filter and BLORT on real… …axis of symmetry 47 4.4 Initialization and annealed particle filtering… …Library. PF Particle Filter. PPF Point Pair Feature. PnP Perspective-n-Point. RAM Random… …x28;3) X e optimized particle state of Xt C´ e set of keypoint correspondences aer… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Choi, C. (2014). Visual object perception in unstructured environments. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53003

Chicago Manual of Style (16th Edition):

Choi, Changhyun. “Visual object perception in unstructured environments.” 2014. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/53003.

MLA Handbook (7th Edition):

Choi, Changhyun. “Visual object perception in unstructured environments.” 2014. Web. 08 Dec 2019.

Vancouver:

Choi C. Visual object perception in unstructured environments. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/53003.

Council of Science Editors:

Choi C. Visual object perception in unstructured environments. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53003

22. Choppala, Praveen Babu. Bayesian multiple target tracking.

Degree: 2014, Victoria University of Wellington

 This thesis addresses several challenges in Bayesian target tracking, particularly for array signal processing applications, and for multiple targets. The optimal method for multiple target… (more)

Subjects/Keywords: Bayesian filtering; Array signal processing; Particle filter

…approximate linearity and Gaussianity. The particle filter For non-linear and non-Gaussian filtering… …Bayesian MTT for array processing MUSIC based MTT PF (Ch. 3) Particle filtering MUSIC… …filtering 15 2.1 Single target state space modelling . . . . . . . . . . . . . . . 16 2.2… …Single target Bayesian filtering . . . . . . . . . . . . . . . . . . 17 2.3 Multi-target… …Bayesian filtering . . . . . . . . . . . . . . . . . . 20 2.4 2.3.1 Joint state space… 

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APA (6th Edition):

Choppala, P. B. (2014). Bayesian multiple target tracking. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3676

Chicago Manual of Style (16th Edition):

Choppala, Praveen Babu. “Bayesian multiple target tracking.” 2014. Doctoral Dissertation, Victoria University of Wellington. Accessed December 08, 2019. http://hdl.handle.net/10063/3676.

MLA Handbook (7th Edition):

Choppala, Praveen Babu. “Bayesian multiple target tracking.” 2014. Web. 08 Dec 2019.

Vancouver:

Choppala PB. Bayesian multiple target tracking. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2014. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10063/3676.

Council of Science Editors:

Choppala PB. Bayesian multiple target tracking. [Doctoral Dissertation]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3676


Iowa State University

23. Das, Samarjit. Particle filtering on large dimensional state spaces and applications in computer vision.

Degree: 2010, Iowa State University

 Tracking of spatio-temporal events is a fundamental problem in computer vision and signal processing in general. For example, keeping track of motion activities from video… (more)

Subjects/Keywords: Compressive sensing; Computer vision; Deformable shape models; Particle filtering; Visual tracking; Electrical and Computer Engineering

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APA (6th Edition):

Das, S. (2010). Particle filtering on large dimensional state spaces and applications in computer vision. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/11811

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Das, Samarjit. “Particle filtering on large dimensional state spaces and applications in computer vision.” 2010. Thesis, Iowa State University. Accessed December 08, 2019. https://lib.dr.iastate.edu/etd/11811.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Das, Samarjit. “Particle filtering on large dimensional state spaces and applications in computer vision.” 2010. Web. 08 Dec 2019.

Vancouver:

Das S. Particle filtering on large dimensional state spaces and applications in computer vision. [Internet] [Thesis]. Iowa State University; 2010. [cited 2019 Dec 08]. Available from: https://lib.dr.iastate.edu/etd/11811.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Das S. Particle filtering on large dimensional state spaces and applications in computer vision. [Thesis]. Iowa State University; 2010. Available from: https://lib.dr.iastate.edu/etd/11811

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

24. Datta Gupta, Syamantak. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.

Degree: 2009, University of Waterloo

 Non-linear Bayesian estimation, or estimation of the state of a non-linear stochastic system from a set of indirect noisy measurements is a problem encountered in… (more)

Subjects/Keywords: Bayesian estimation; non-linear filtering; particle filter; ensemble Kalman filter; Monte Carlo methods; Bayesian inference

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APA (6th Edition):

Datta Gupta, S. (2009). A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Thesis, University of Waterloo. Accessed December 08, 2019. http://hdl.handle.net/10012/4503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Web. 08 Dec 2019.

Vancouver:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10012/4503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Thesis]. University of Waterloo; 2009. Available from: http://hdl.handle.net/10012/4503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

25. Deevi, Sri Vallabha. Large Eddy Simulation of Multiphase Flows.

Degree: 2015, Indian Institute of Science

 Multiphase flows are a common phenomenon. Rains, sediment transport in rivers, snow and dust storms, mud slides and avalanches are examples of multiphase flows occurring… (more)

Subjects/Keywords: Aerodyamic noise-aircraft engine; Particle-ladden Flows; Modeling Multiphase Flows; Explicit filtering large eddy simulation; Turbulent Round Jet - Simulations; Particle-laden Jets; Large Eddy Simulation (LES); Reynolds Averaged Navier-Stokes (RANS) Methods; Large Eddy Simulation Method; Aerospace Engineering

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APA (6th Edition):

Deevi, S. V. (2015). Large Eddy Simulation of Multiphase Flows. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/2005/3656 ; http://etd.iisc.ernet.in/abstracts/4526/G27305-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Deevi, Sri Vallabha. “Large Eddy Simulation of Multiphase Flows.” 2015. Thesis, Indian Institute of Science. Accessed December 08, 2019. http://etd.iisc.ernet.in/2005/3656 ; http://etd.iisc.ernet.in/abstracts/4526/G27305-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Deevi, Sri Vallabha. “Large Eddy Simulation of Multiphase Flows.” 2015. Web. 08 Dec 2019.

Vancouver:

Deevi SV. Large Eddy Simulation of Multiphase Flows. [Internet] [Thesis]. Indian Institute of Science; 2015. [cited 2019 Dec 08]. Available from: http://etd.iisc.ernet.in/2005/3656 ; http://etd.iisc.ernet.in/abstracts/4526/G27305-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Deevi SV. Large Eddy Simulation of Multiphase Flows. [Thesis]. Indian Institute of Science; 2015. Available from: http://etd.iisc.ernet.in/2005/3656 ; http://etd.iisc.ernet.in/abstracts/4526/G27305-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Pretoria

26. De Freitas, Allan. A Monte-Carlo approach to dominant scatterer tracking of a single extended target in high range-resolution radar.

Degree: Electrical, Electronic and Computer Engineering, 2013, University of Pretoria

 In high range-resolution (HRR) radar systems, the returns from a single target may fall in multiple adjacent range bins which individually vary in amplitude. A… (more)

Subjects/Keywords: Extended target; Tracking; High range-resolution radar; High rangeresolution profile; Particle filtering; ISAR; Particle Markov chain Monte-Carlo; Particle marginal Metropolis-Hastings sampler; Static parameter estimation; UCTD

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APA (6th Edition):

De Freitas, A. (2013). A Monte-Carlo approach to dominant scatterer tracking of a single extended target in high range-resolution radar. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/33372

Chicago Manual of Style (16th Edition):

De Freitas, Allan. “A Monte-Carlo approach to dominant scatterer tracking of a single extended target in high range-resolution radar.” 2013. Masters Thesis, University of Pretoria. Accessed December 08, 2019. http://hdl.handle.net/2263/33372.

MLA Handbook (7th Edition):

De Freitas, Allan. “A Monte-Carlo approach to dominant scatterer tracking of a single extended target in high range-resolution radar.” 2013. Web. 08 Dec 2019.

Vancouver:

De Freitas A. A Monte-Carlo approach to dominant scatterer tracking of a single extended target in high range-resolution radar. [Internet] [Masters thesis]. University of Pretoria; 2013. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/2263/33372.

Council of Science Editors:

De Freitas A. A Monte-Carlo approach to dominant scatterer tracking of a single extended target in high range-resolution radar. [Masters Thesis]. University of Pretoria; 2013. Available from: http://hdl.handle.net/2263/33372

27. Dubarry, Cyrille. Méthodes de lissage et d'estimation dans des modèles à variables latentes par des méthodes de Monte-Carlo séquentielles : Smoothing and estimation methods in hidden variable models through sequential Monte-Carlo methods.

Degree: Docteur es, Mathématiques, 2012, Evry, Institut national des télécommunications

Les modèles de chaînes de Markov cachées ou plus généralement ceux de Feynman-Kac sont aujourd'hui très largement utilisés. Ils permettent de modéliser une grande diversité… (more)

Subjects/Keywords: Monte-Carlo séquentiel; Filtrage particulaire; Lissage particulaire; Feynman-Kac; Chaîne de Markov caché; Sequential Monte-Carlo; Particle filtering; Particle smoothing; Hidden markov chain

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dubarry, C. (2012). Méthodes de lissage et d'estimation dans des modèles à variables latentes par des méthodes de Monte-Carlo séquentielles : Smoothing and estimation methods in hidden variable models through sequential Monte-Carlo methods. (Doctoral Dissertation). Evry, Institut national des télécommunications. Retrieved from http://www.theses.fr/2012TELE0040

Chicago Manual of Style (16th Edition):

Dubarry, Cyrille. “Méthodes de lissage et d'estimation dans des modèles à variables latentes par des méthodes de Monte-Carlo séquentielles : Smoothing and estimation methods in hidden variable models through sequential Monte-Carlo methods.” 2012. Doctoral Dissertation, Evry, Institut national des télécommunications. Accessed December 08, 2019. http://www.theses.fr/2012TELE0040.

MLA Handbook (7th Edition):

Dubarry, Cyrille. “Méthodes de lissage et d'estimation dans des modèles à variables latentes par des méthodes de Monte-Carlo séquentielles : Smoothing and estimation methods in hidden variable models through sequential Monte-Carlo methods.” 2012. Web. 08 Dec 2019.

Vancouver:

Dubarry C. Méthodes de lissage et d'estimation dans des modèles à variables latentes par des méthodes de Monte-Carlo séquentielles : Smoothing and estimation methods in hidden variable models through sequential Monte-Carlo methods. [Internet] [Doctoral dissertation]. Evry, Institut national des télécommunications; 2012. [cited 2019 Dec 08]. Available from: http://www.theses.fr/2012TELE0040.

Council of Science Editors:

Dubarry C. Méthodes de lissage et d'estimation dans des modèles à variables latentes par des méthodes de Monte-Carlo séquentielles : Smoothing and estimation methods in hidden variable models through sequential Monte-Carlo methods. [Doctoral Dissertation]. Evry, Institut national des télécommunications; 2012. Available from: http://www.theses.fr/2012TELE0040


Virginia Tech

28. Eckstein, Adric. Development of Robust Correlation Algorithms for Image Velocimetry using Advanced Filtering.

Degree: MS, Mechanical Engineering, 2007, Virginia Tech

 Digital Particle Image Velocimetry (DPIV) is a planar measurement technique to measure the velocity within a fluid by correlating the motion of flow tracers over… (more)

Subjects/Keywords: nonlinear least squares regression; phase correlation; generalized cross correlation; time delay estimation; Digital Particle Image Velocimetry; DPIV; image processing; digital signal decomposition; digital filtering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Eckstein, A. (2007). Development of Robust Correlation Algorithms for Image Velocimetry using Advanced Filtering. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/36338

Chicago Manual of Style (16th Edition):

Eckstein, Adric. “Development of Robust Correlation Algorithms for Image Velocimetry using Advanced Filtering.” 2007. Masters Thesis, Virginia Tech. Accessed December 08, 2019. http://hdl.handle.net/10919/36338.

MLA Handbook (7th Edition):

Eckstein, Adric. “Development of Robust Correlation Algorithms for Image Velocimetry using Advanced Filtering.” 2007. Web. 08 Dec 2019.

Vancouver:

Eckstein A. Development of Robust Correlation Algorithms for Image Velocimetry using Advanced Filtering. [Internet] [Masters thesis]. Virginia Tech; 2007. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10919/36338.

Council of Science Editors:

Eckstein A. Development of Robust Correlation Algorithms for Image Velocimetry using Advanced Filtering. [Masters Thesis]. Virginia Tech; 2007. Available from: http://hdl.handle.net/10919/36338

29. El Mokhtari, Karim. Estimation circulaire multi-modèles appliquée au Map matching en environnement contraint : Circular estimation multiple models applied to Map matching in constrained areas.

Degree: Docteur es, Génie informatique, Automatique et Traitement du signal, 2015, Littoral; Université Abdelmalek Essaadi (Tanger, Maroc). Faculté des Sciences et Techniques

La navigation dans les environnements contraints tels que les zones portuaires ou les zones urbainesdenses est souvent exposée au problème du masquage des satellites GPS.… (more)

Subjects/Keywords: Map matching; EStimation circulaire; Filtrage particulaire; Filtrage multi-modèles; Map matching; Circular estimation; Particle filtering; Multiple model filtering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

El Mokhtari, K. (2015). Estimation circulaire multi-modèles appliquée au Map matching en environnement contraint : Circular estimation multiple models applied to Map matching in constrained areas. (Doctoral Dissertation). Littoral; Université Abdelmalek Essaadi (Tanger, Maroc). Faculté des Sciences et Techniques. Retrieved from http://www.theses.fr/2015DUNK0367

Chicago Manual of Style (16th Edition):

El Mokhtari, Karim. “Estimation circulaire multi-modèles appliquée au Map matching en environnement contraint : Circular estimation multiple models applied to Map matching in constrained areas.” 2015. Doctoral Dissertation, Littoral; Université Abdelmalek Essaadi (Tanger, Maroc). Faculté des Sciences et Techniques. Accessed December 08, 2019. http://www.theses.fr/2015DUNK0367.

MLA Handbook (7th Edition):

El Mokhtari, Karim. “Estimation circulaire multi-modèles appliquée au Map matching en environnement contraint : Circular estimation multiple models applied to Map matching in constrained areas.” 2015. Web. 08 Dec 2019.

Vancouver:

El Mokhtari K. Estimation circulaire multi-modèles appliquée au Map matching en environnement contraint : Circular estimation multiple models applied to Map matching in constrained areas. [Internet] [Doctoral dissertation]. Littoral; Université Abdelmalek Essaadi (Tanger, Maroc). Faculté des Sciences et Techniques; 2015. [cited 2019 Dec 08]. Available from: http://www.theses.fr/2015DUNK0367.

Council of Science Editors:

El Mokhtari K. Estimation circulaire multi-modèles appliquée au Map matching en environnement contraint : Circular estimation multiple models applied to Map matching in constrained areas. [Doctoral Dissertation]. Littoral; Université Abdelmalek Essaadi (Tanger, Maroc). Faculté des Sciences et Techniques; 2015. Available from: http://www.theses.fr/2015DUNK0367

30. Enright, Catherine. A Probabilistic Framework Based on Mathematical Models with Application to Medical Data Streams .

Degree: 2012, National University of Ireland – Galway

 This thesis presents a new probability-based framework which exploits existing domain knowledge in the form of mathematical models and uses real-time data streams to individualise… (more)

Subjects/Keywords: Dynamic Bayesian networks; Ordinary differencial equations; Adaptive-time particle filtering; Glycaemia; Engineering and Informatics

Particle Filtering algorithm for performing inference on our DBN framework. The importance of… …Therefore, we propose a new algorithm, called Adaptive-Time Particle Filtering, as an alternative… …to the standard fixed time step particle filtering. In Adaptive-Time Particle Filtering… …with the new particle-filtering algorithm is applied to the problem of modelling glycaemia in… …brief background is presented on DBNs and particle filtering, as they form the basis of the… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Enright, C. (2012). A Probabilistic Framework Based on Mathematical Models with Application to Medical Data Streams . (Thesis). National University of Ireland – Galway. Retrieved from http://hdl.handle.net/10379/3572

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Enright, Catherine. “A Probabilistic Framework Based on Mathematical Models with Application to Medical Data Streams .” 2012. Thesis, National University of Ireland – Galway. Accessed December 08, 2019. http://hdl.handle.net/10379/3572.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Enright, Catherine. “A Probabilistic Framework Based on Mathematical Models with Application to Medical Data Streams .” 2012. Web. 08 Dec 2019.

Vancouver:

Enright C. A Probabilistic Framework Based on Mathematical Models with Application to Medical Data Streams . [Internet] [Thesis]. National University of Ireland – Galway; 2012. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10379/3572.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Enright C. A Probabilistic Framework Based on Mathematical Models with Application to Medical Data Streams . [Thesis]. National University of Ireland – Galway; 2012. Available from: http://hdl.handle.net/10379/3572

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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