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Level: doctoral

You searched for subject:(Particle filtering). Showing records 1 – 30 of 63 total matches.

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University of Tennessee – Knoxville

1. Li, Zhiqiang. Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems.

Degree: 2012, University of Tennessee – Knoxville

 Various particle filters have been proposed and their convergence to the optimal filter are obtained for finite time intervals. However, uniform convergence results have been… (more)

Subjects/Keywords: nonlinear filtering; branching particle aproximation; Probability

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APA (6th Edition):

Li, Z. (2012). Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/1322

Chicago Manual of Style (16th Edition):

Li, Zhiqiang. “Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems.” 2012. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed December 11, 2019. https://trace.tennessee.edu/utk_graddiss/1322.

MLA Handbook (7th Edition):

Li, Zhiqiang. “Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems.” 2012. Web. 11 Dec 2019.

Vancouver:

Li Z. Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2012. [cited 2019 Dec 11]. Available from: https://trace.tennessee.edu/utk_graddiss/1322.

Council of Science Editors:

Li Z. Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2012. Available from: https://trace.tennessee.edu/utk_graddiss/1322


University of Edinburgh

2. Zhong, Xionghu. Bayesian framework for multiple acoustic source tracking.

Degree: PhD, 2010, University of Edinburgh

 Acoustic source (speaker) tracking in the room environment plays an important role in many speech and audio applications such as multimedia, hearing aids and hands-free… (more)

Subjects/Keywords: 621.382; Bayesian filter; particle filtering; tracking

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APA (6th Edition):

Zhong, X. (2010). Bayesian framework for multiple acoustic source tracking. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4752

Chicago Manual of Style (16th Edition):

Zhong, Xionghu. “Bayesian framework for multiple acoustic source tracking.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed December 11, 2019. http://hdl.handle.net/1842/4752.

MLA Handbook (7th Edition):

Zhong, Xionghu. “Bayesian framework for multiple acoustic source tracking.” 2010. Web. 11 Dec 2019.

Vancouver:

Zhong X. Bayesian framework for multiple acoustic source tracking. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1842/4752.

Council of Science Editors:

Zhong X. Bayesian framework for multiple acoustic source tracking. [Doctoral Dissertation]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/4752


Syracuse University

3. ZHENG, YUJIAO. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.

Degree: PhD, Electrical Engineering and Computer Science, 2014, Syracuse University

  Distributed inference arising in sensor networks has been an interesting and promising discipline in recent years. The goal of this dissertation is to investigate… (more)

Subjects/Keywords: Bayesian estimation; Kalman filtering; Particle filtering; Sensor networks; Target tracking; Engineering

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APA (6th Edition):

ZHENG, Y. (2014). Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. (Doctoral Dissertation). Syracuse University. Retrieved from https://surface.syr.edu/etd/71

Chicago Manual of Style (16th Edition):

ZHENG, YUJIAO. “Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.” 2014. Doctoral Dissertation, Syracuse University. Accessed December 11, 2019. https://surface.syr.edu/etd/71.

MLA Handbook (7th Edition):

ZHENG, YUJIAO. “Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.” 2014. Web. 11 Dec 2019.

Vancouver:

ZHENG Y. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Syracuse University; 2014. [cited 2019 Dec 11]. Available from: https://surface.syr.edu/etd/71.

Council of Science Editors:

ZHENG Y. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. [Doctoral Dissertation]. Syracuse University; 2014. Available from: https://surface.syr.edu/etd/71


University of Illinois – Urbana-Champaign

4. Yang, Tao. Feedback particle filter and its applications.

Degree: PhD, 0133, 2014, University of Illinois – Urbana-Champaign

 The purpose of nonlinear filtering is to extract useful information from noisy sensor data. It finds applications in all disciplines of science and engineering, including… (more)

Subjects/Keywords: Nonlinear filtering; estimation; particle filtering; statistical signal processing; optimal transportation; target tracking

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APA (6th Edition):

Yang, T. (2014). Feedback particle filter and its applications. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50708

Chicago Manual of Style (16th Edition):

Yang, Tao. “Feedback particle filter and its applications.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 11, 2019. http://hdl.handle.net/2142/50708.

MLA Handbook (7th Edition):

Yang, Tao. “Feedback particle filter and its applications.” 2014. Web. 11 Dec 2019.

Vancouver:

Yang T. Feedback particle filter and its applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/2142/50708.

Council of Science Editors:

Yang T. Feedback particle filter and its applications. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50708


New Jersey Institute of Technology

5. 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 11, 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. 11 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 11]. 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


University of Southern California

6. Singh, Vivek Kumar. Monocular human pose tracking and action recognition in dynamic environments.

Degree: PhD, Computer Science, 2011, University of Southern California

 The objective of this work is to develop an efficient method to find human in videos captured from a single camera, and recognize the action… (more)

Subjects/Keywords: pictorial structures; branch and bound; conditional random fields; particle filtering

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APA (6th Edition):

Singh, V. K. (2011). Monocular human pose tracking and action recognition in dynamic environments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4209

Chicago Manual of Style (16th Edition):

Singh, Vivek Kumar. “Monocular human pose tracking and action recognition in dynamic environments.” 2011. Doctoral Dissertation, University of Southern California. Accessed December 11, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4209.

MLA Handbook (7th Edition):

Singh, Vivek Kumar. “Monocular human pose tracking and action recognition in dynamic environments.” 2011. Web. 11 Dec 2019.

Vancouver:

Singh VK. Monocular human pose tracking and action recognition in dynamic environments. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Dec 11]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4209.

Council of Science Editors:

Singh VK. Monocular human pose tracking and action recognition in dynamic environments. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4209


University of Newcastle

7. Newman, Amanda K. A particle filter for efficient recursive BATEA analysis of hydrological models.

Degree: PhD, 2017, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

The Bayesian Total Error Analysis (BATEA) framework permits model calibration and prediction to be informed by estimates of… (more)

Subjects/Keywords: recursive estimation; particle filtering; BATEA; hydrologic model calibration

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APA (6th Edition):

Newman, A. K. (2017). A particle filter for efficient recursive BATEA analysis of hydrological models. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1333789

Chicago Manual of Style (16th Edition):

Newman, Amanda K. “A particle filter for efficient recursive BATEA analysis of hydrological models.” 2017. Doctoral Dissertation, University of Newcastle. Accessed December 11, 2019. http://hdl.handle.net/1959.13/1333789.

MLA Handbook (7th Edition):

Newman, Amanda K. “A particle filter for efficient recursive BATEA analysis of hydrological models.” 2017. Web. 11 Dec 2019.

Vancouver:

Newman AK. A particle filter for efficient recursive BATEA analysis of hydrological models. [Internet] [Doctoral dissertation]. University of Newcastle; 2017. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1959.13/1333789.

Council of Science Editors:

Newman AK. A particle filter for efficient recursive BATEA analysis of hydrological models. [Doctoral Dissertation]. University of Newcastle; 2017. Available from: http://hdl.handle.net/1959.13/1333789


University of Otago

8. Javed, Adeel. Train Localisation using Wireless Sensor Networks .

Degree: University of Otago

 Safety and reliability have always been concerns for railway transportation. Knowing the exact location of a train enables the railway system to react to an… (more)

Subjects/Keywords: Localisation; WSN; Trains; Particle Filtering

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APA (6th Edition):

Javed, A. (n.d.). Train Localisation using Wireless Sensor Networks . (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/6910

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Javed, Adeel. “Train Localisation using Wireless Sensor Networks .” Doctoral Dissertation, University of Otago. Accessed December 11, 2019. http://hdl.handle.net/10523/6910.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Javed, Adeel. “Train Localisation using Wireless Sensor Networks .” Web. 11 Dec 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Javed A. Train Localisation using Wireless Sensor Networks . [Internet] [Doctoral dissertation]. University of Otago; [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10523/6910.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Javed A. Train Localisation using Wireless Sensor Networks . [Doctoral Dissertation]. University of Otago; Available from: http://hdl.handle.net/10523/6910

Note: this citation may be lacking information needed for this citation format:
No year of publication.


University of Melbourne

9. KARUNARATNE, BENTARAGE SACHINTHA. Statistical signal processing for target tracking with multipath radar.

Degree: 2014, University of Melbourne

 Until recently the applications of radar technology have been limited to environments with large open space. One of the reasons for such confinement is the… (more)

Subjects/Keywords: radar; multipath; target tracking; Bayesian; Monte Carlo; particle filtering

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APA (6th Edition):

KARUNARATNE, B. S. (2014). Statistical signal processing for target tracking with multipath radar. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/55278

Chicago Manual of Style (16th Edition):

KARUNARATNE, BENTARAGE SACHINTHA. “Statistical signal processing for target tracking with multipath radar.” 2014. Doctoral Dissertation, University of Melbourne. Accessed December 11, 2019. http://hdl.handle.net/11343/55278.

MLA Handbook (7th Edition):

KARUNARATNE, BENTARAGE SACHINTHA. “Statistical signal processing for target tracking with multipath radar.” 2014. Web. 11 Dec 2019.

Vancouver:

KARUNARATNE BS. Statistical signal processing for target tracking with multipath radar. [Internet] [Doctoral dissertation]. University of Melbourne; 2014. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/11343/55278.

Council of Science Editors:

KARUNARATNE BS. Statistical signal processing for target tracking with multipath radar. [Doctoral Dissertation]. University of Melbourne; 2014. Available from: http://hdl.handle.net/11343/55278


Princeton University

10. Girardi, Matthew. Liquid Transport and Agglomeration Tendency in Fluidized Beds .

Degree: PhD, 2015, Princeton University

 Wet gas-solid fluidization is an essential component in a wide range of industrial processes, particularly those in the energy and pharmaceutical industries. In gas-solid fluidized… (more)

Subjects/Keywords: Euler Lagrange; Filtering; Fluidized bed; Liquid transport; Multiphase flow; Particle wetting

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APA (6th Edition):

Girardi, M. (2015). Liquid Transport and Agglomeration Tendency in Fluidized Beds . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp013b591b95d

Chicago Manual of Style (16th Edition):

Girardi, Matthew. “Liquid Transport and Agglomeration Tendency in Fluidized Beds .” 2015. Doctoral Dissertation, Princeton University. Accessed December 11, 2019. http://arks.princeton.edu/ark:/88435/dsp013b591b95d.

MLA Handbook (7th Edition):

Girardi, Matthew. “Liquid Transport and Agglomeration Tendency in Fluidized Beds .” 2015. Web. 11 Dec 2019.

Vancouver:

Girardi M. Liquid Transport and Agglomeration Tendency in Fluidized Beds . [Internet] [Doctoral dissertation]. Princeton University; 2015. [cited 2019 Dec 11]. Available from: http://arks.princeton.edu/ark:/88435/dsp013b591b95d.

Council of Science Editors:

Girardi M. Liquid Transport and Agglomeration Tendency in Fluidized Beds . [Doctoral Dissertation]. Princeton University; 2015. Available from: http://arks.princeton.edu/ark:/88435/dsp013b591b95d

11. 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 (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 11, 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. 11 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 11]. 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


University of New Orleans

12. Wu, Jiande. Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications.

Degree: PhD, Electrical Engineering, 2014, University of New Orleans

Particle filtering has been a very popular method to solve nonlinear/non-Gaussian state estimation problems for more than twenty years. Particle filters (PFs) have found… (more)

Subjects/Keywords: nonlinear filtering, particle filter, particle flow filter, parallel and distributed computing, GPU, computer cluster, FPGA, target tracking; Electrical and Computer Engineering

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APA (6th Edition):

Wu, J. (2014). Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications. (Doctoral Dissertation). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/1953

Chicago Manual of Style (16th Edition):

Wu, Jiande. “Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications.” 2014. Doctoral Dissertation, University of New Orleans. Accessed December 11, 2019. https://scholarworks.uno.edu/td/1953.

MLA Handbook (7th Edition):

Wu, Jiande. “Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications.” 2014. Web. 11 Dec 2019.

Vancouver:

Wu J. Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications. [Internet] [Doctoral dissertation]. University of New Orleans; 2014. [cited 2019 Dec 11]. Available from: https://scholarworks.uno.edu/td/1953.

Council of Science Editors:

Wu J. Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications. [Doctoral Dissertation]. University of New Orleans; 2014. Available from: https://scholarworks.uno.edu/td/1953


University of Colorado

13. Jennings, Dale Kurtis. Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.

Degree: PhD, Applied Mathematics, 2016, University of Colorado

 Markov Chain Monte Carlo (MCMC) methods are a class of algorithms for sampling from a desired probability distribution. While there exist many algorithms that attempt… (more)

Subjects/Keywords: Applied Probability; Bayesian Networks; Birth and Death Process; Kac Model; MCMC; Particle Filtering; Applied Mathematics

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APA (6th Edition):

Jennings, D. K. (2016). Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/appm_gradetds/81

Chicago Manual of Style (16th Edition):

Jennings, Dale Kurtis. “Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.” 2016. Doctoral Dissertation, University of Colorado. Accessed December 11, 2019. http://scholar.colorado.edu/appm_gradetds/81.

MLA Handbook (7th Edition):

Jennings, Dale Kurtis. “Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.” 2016. Web. 11 Dec 2019.

Vancouver:

Jennings DK. Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2019 Dec 11]. Available from: http://scholar.colorado.edu/appm_gradetds/81.

Council of Science Editors:

Jennings DK. Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks. [Doctoral Dissertation]. University of Colorado; 2016. Available from: http://scholar.colorado.edu/appm_gradetds/81


University of Illinois – Urbana-Champaign

14. Yeong, Hoong Chieh. Dimensional reduction in nonlinear estimation of multiscale systems.

Degree: PhD, Aerospace Engineering, 2017, University of Illinois – Urbana-Champaign

 State or signal estimation of stochastic systems based on measurement data is an important problem in many areas of science and engineering. The true signal… (more)

Subjects/Keywords: Nonlinear filtering; Homogenization; Stochastic partial differential equation; Particle filter; Maximum likelihood estimation; Mutual information

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APA (6th Edition):

Yeong, H. C. (2017). Dimensional reduction in nonlinear estimation of multiscale systems. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99320

Chicago Manual of Style (16th Edition):

Yeong, Hoong Chieh. “Dimensional reduction in nonlinear estimation of multiscale systems.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 11, 2019. http://hdl.handle.net/2142/99320.

MLA Handbook (7th Edition):

Yeong, Hoong Chieh. “Dimensional reduction in nonlinear estimation of multiscale systems.” 2017. Web. 11 Dec 2019.

Vancouver:

Yeong HC. Dimensional reduction in nonlinear estimation of multiscale systems. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/2142/99320.

Council of Science Editors:

Yeong HC. Dimensional reduction in nonlinear estimation of multiscale systems. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99320


New Jersey Institute of Technology

15. Jain, Rashi. Sequential bayesian filtering for spatial arrival time estimation.

Degree: PhD, Mathematical Sciences, 2011, New Jersey Institute of Technology

  Locating and tracking a source in an ocean environment as well as estimating environmental parameters of a sound propagation medium is of utmost importance… (more)

Subjects/Keywords: Particle filtering; Uncertainty; Regularized inversion; Arrival time estimation; Monte Carlo Markov chain; Mathematics

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APA (6th Edition):

Jain, R. (2011). Sequential bayesian filtering for spatial arrival time estimation. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/281

Chicago Manual of Style (16th Edition):

Jain, Rashi. “Sequential bayesian filtering for spatial arrival time estimation.” 2011. Doctoral Dissertation, New Jersey Institute of Technology. Accessed December 11, 2019. https://digitalcommons.njit.edu/dissertations/281.

MLA Handbook (7th Edition):

Jain, Rashi. “Sequential bayesian filtering for spatial arrival time estimation.” 2011. Web. 11 Dec 2019.

Vancouver:

Jain R. Sequential bayesian filtering for spatial arrival time estimation. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2011. [cited 2019 Dec 11]. Available from: https://digitalcommons.njit.edu/dissertations/281.

Council of Science Editors:

Jain R. Sequential bayesian filtering for spatial arrival time estimation. [Doctoral Dissertation]. New Jersey Institute of Technology; 2011. Available from: https://digitalcommons.njit.edu/dissertations/281


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 11, 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. 11 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 11]. 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


University of New South Wales

17. Vu, Phuong Anh. Multivariate stochastic loss reserving with common shock approaches.

Degree: Actuarial Studies, 2019, University of New South Wales

 Outstanding claims liability is usually one of the largest liabilities on the balance sheet of a general insurer. Therefore, it is critical for insurers to… (more)

Subjects/Keywords: Common shock; Stochastic reserving; Loss triangles; Evolutionary modelling; Robotic reserving; Tweedie family of distributions; Bayesian estimation; Unbalanced data; Kalman filtering; Particle filtering

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APA (6th Edition):

Vu, P. A. (2019). Multivariate stochastic loss reserving with common shock approaches. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/61430 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:55470/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Vu, Phuong Anh. “Multivariate stochastic loss reserving with common shock approaches.” 2019. Doctoral Dissertation, University of New South Wales. Accessed December 11, 2019. http://handle.unsw.edu.au/1959.4/61430 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:55470/SOURCE02?view=true.

MLA Handbook (7th Edition):

Vu, Phuong Anh. “Multivariate stochastic loss reserving with common shock approaches.” 2019. Web. 11 Dec 2019.

Vancouver:

Vu PA. Multivariate stochastic loss reserving with common shock approaches. [Internet] [Doctoral dissertation]. University of New South Wales; 2019. [cited 2019 Dec 11]. Available from: http://handle.unsw.edu.au/1959.4/61430 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:55470/SOURCE02?view=true.

Council of Science Editors:

Vu PA. Multivariate stochastic loss reserving with common shock approaches. [Doctoral Dissertation]. University of New South Wales; 2019. Available from: http://handle.unsw.edu.au/1959.4/61430 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:55470/SOURCE02?view=true


Cranfield University

18. Wileman, Andrew John. An investigation into the prognosis of electromagnetic relays.

Degree: PhD, 2016, Cranfield University

 Electrical contacts provide a well-proven solution to switching various loads in a wide variety of applications, such as power distribution, control applications, automotive and telecommunications.… (more)

Subjects/Keywords: Electromagnetic relays; Integrated vehicle health management; Prognosics and health management; Condition based maintenance; Hybrid prognostics; Physics-based prognostics; Data-driven prognostics; Kalman filtering; Particle filtering

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APA (6th Edition):

Wileman, A. J. (2016). An investigation into the prognosis of electromagnetic relays. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/13665 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761425

Chicago Manual of Style (16th Edition):

Wileman, Andrew John. “An investigation into the prognosis of electromagnetic relays.” 2016. Doctoral Dissertation, Cranfield University. Accessed December 11, 2019. http://dspace.lib.cranfield.ac.uk/handle/1826/13665 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761425.

MLA Handbook (7th Edition):

Wileman, Andrew John. “An investigation into the prognosis of electromagnetic relays.” 2016. Web. 11 Dec 2019.

Vancouver:

Wileman AJ. An investigation into the prognosis of electromagnetic relays. [Internet] [Doctoral dissertation]. Cranfield University; 2016. [cited 2019 Dec 11]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/13665 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761425.

Council of Science Editors:

Wileman AJ. An investigation into the prognosis of electromagnetic relays. [Doctoral Dissertation]. Cranfield University; 2016. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/13665 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761425


Wright State University

19. Hlinomaz, Peter V. Study of Multi-Modal and Non-Gaussian Probability Density Functions in Target Tracking with Applications to Dim Target Tracking.

Degree: PhD, Engineering PhD, 2008, Wright State University

  Hlinomaz, Peter Vladimir, Ph.D., Engineering Ph.D. Program, Wright State University, 2008. Study of Multi-Modal and Non-Gaussian Probability Density Functions in Target Tracking with Applications… (more)

Subjects/Keywords: Electrical Engineering; particle filtering; multirate tracking; MRMMPF-TBD; MMPF-TBD; MRIMM; dim target; multi-modal; multiresolutional tracking

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APA (6th Edition):

Hlinomaz, P. V. (2008). Study of Multi-Modal and Non-Gaussian Probability Density Functions in Target Tracking with Applications to Dim Target Tracking. (Doctoral Dissertation). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1226586660

Chicago Manual of Style (16th Edition):

Hlinomaz, Peter V. “Study of Multi-Modal and Non-Gaussian Probability Density Functions in Target Tracking with Applications to Dim Target Tracking.” 2008. Doctoral Dissertation, Wright State University. Accessed December 11, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1226586660.

MLA Handbook (7th Edition):

Hlinomaz, Peter V. “Study of Multi-Modal and Non-Gaussian Probability Density Functions in Target Tracking with Applications to Dim Target Tracking.” 2008. Web. 11 Dec 2019.

Vancouver:

Hlinomaz PV. Study of Multi-Modal and Non-Gaussian Probability Density Functions in Target Tracking with Applications to Dim Target Tracking. [Internet] [Doctoral dissertation]. Wright State University; 2008. [cited 2019 Dec 11]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1226586660.

Council of Science Editors:

Hlinomaz PV. Study of Multi-Modal and Non-Gaussian Probability Density Functions in Target Tracking with Applications to Dim Target Tracking. [Doctoral Dissertation]. Wright State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1226586660


University of Alberta

20. Sahar, Movaghati. Distributed Estimation and Quantization Algorithms for Wireless Sensor Networks.

Degree: PhD, Department of Electrical and Computer Engineering, 2014, University of Alberta

 In distributed sensing systems, measurements from a random process or parameter are usually not available in one place. Also, the processing resources are distributed over… (more)

Subjects/Keywords: distributed quantization; assignment problem; bayesian networks; distributed algorithm; distributed estimation; optimization; particle filtering; factor graph; wireless sensor network; mutual information

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APA (6th Edition):

Sahar, M. (2014). Distributed Estimation and Quantization Algorithms for Wireless Sensor Networks. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cxd07gs82z

Chicago Manual of Style (16th Edition):

Sahar, Movaghati. “Distributed Estimation and Quantization Algorithms for Wireless Sensor Networks.” 2014. Doctoral Dissertation, University of Alberta. Accessed December 11, 2019. https://era.library.ualberta.ca/files/cxd07gs82z.

MLA Handbook (7th Edition):

Sahar, Movaghati. “Distributed Estimation and Quantization Algorithms for Wireless Sensor Networks.” 2014. Web. 11 Dec 2019.

Vancouver:

Sahar M. Distributed Estimation and Quantization Algorithms for Wireless Sensor Networks. [Internet] [Doctoral dissertation]. University of Alberta; 2014. [cited 2019 Dec 11]. Available from: https://era.library.ualberta.ca/files/cxd07gs82z.

Council of Science Editors:

Sahar M. Distributed Estimation and Quantization Algorithms for Wireless Sensor Networks. [Doctoral Dissertation]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/cxd07gs82z


Georgia Tech

21. Sandhu, Romeil Singh. Statistical methods for 2D image segmentation and 3D pose estimation.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 The field of computer vision focuses on the goal of developing techniques to exploit and extract information from underlying data that may represent images or… (more)

Subjects/Keywords: Pose estimation; Segmentation; Registration; Computer vision; Particle filtering; Image processing; Image processing Digital techniques; Geometry, Differential

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APA (6th Edition):

Sandhu, R. S. (2010). Statistical methods for 2D image segmentation and 3D pose estimation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37245

Chicago Manual of Style (16th Edition):

Sandhu, Romeil Singh. “Statistical methods for 2D image segmentation and 3D pose estimation.” 2010. Doctoral Dissertation, Georgia Tech. Accessed December 11, 2019. http://hdl.handle.net/1853/37245.

MLA Handbook (7th Edition):

Sandhu, Romeil Singh. “Statistical methods for 2D image segmentation and 3D pose estimation.” 2010. Web. 11 Dec 2019.

Vancouver:

Sandhu RS. Statistical methods for 2D image segmentation and 3D pose estimation. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1853/37245.

Council of Science Editors:

Sandhu RS. Statistical methods for 2D image segmentation and 3D pose estimation. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/37245


Loughborough University

22. Pokora, C. D. Spatio-temporal correlations of jets using high-speed particle image velocimetry.

Degree: PhD, 2009, Loughborough University

 The major source of aircraft noise at take-off is jet noise. If jet noise is not adequately addressed environmental impact concerns will constrain the planned… (more)

Subjects/Keywords: Particle image velocimetry : Large eddy simulation : Jet noise : Aeroacoustics : Spatia-temporal correlations : Sub-cell filtering : Proper orthogonal decomposition

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APA (6th Edition):

Pokora, C. D. (2009). Spatio-temporal correlations of jets using high-speed particle image velocimetry. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/13185 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507360

Chicago Manual of Style (16th Edition):

Pokora, C D. “Spatio-temporal correlations of jets using high-speed particle image velocimetry.” 2009. Doctoral Dissertation, Loughborough University. Accessed December 11, 2019. https://dspace.lboro.ac.uk/2134/13185 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507360.

MLA Handbook (7th Edition):

Pokora, C D. “Spatio-temporal correlations of jets using high-speed particle image velocimetry.” 2009. Web. 11 Dec 2019.

Vancouver:

Pokora CD. Spatio-temporal correlations of jets using high-speed particle image velocimetry. [Internet] [Doctoral dissertation]. Loughborough University; 2009. [cited 2019 Dec 11]. Available from: https://dspace.lboro.ac.uk/2134/13185 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507360.

Council of Science Editors:

Pokora CD. Spatio-temporal correlations of jets using high-speed particle image velocimetry. [Doctoral Dissertation]. Loughborough University; 2009. Available from: https://dspace.lboro.ac.uk/2134/13185 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507360


Clemson University

23. 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 11, 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. 11 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 11]. 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

24. Penne, Thomas. Développement d'un système de tracking vidéo sur caméra robotisée : Development of a video tracking system on a robotic camera.

Degree: Docteur es, Informatique, 2011, Université Blaise-Pascale, Clermont-Ferrand II

Ces dernières années se caractérisent par la prolifération des systèmes de vidéo-surveillance et par l’automatisation des traitements que ceux-ci intègrent. Parallèlement, le problème du suivi… (more)

Subjects/Keywords: Suivi d’objet; Classification; Adaboost; Ensemble Tracking; Espaces de caractéristiques; Filtrage particulaire; Object tracking; Classification; Adaboost; Ensemble Tracking; Feature spaces; Particle filtering

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APA (6th Edition):

Penne, T. (2011). Développement d'un système de tracking vidéo sur caméra robotisée : Development of a video tracking system on a robotic camera. (Doctoral Dissertation). Université Blaise-Pascale, Clermont-Ferrand II. Retrieved from http://www.theses.fr/2011CLF22167

Chicago Manual of Style (16th Edition):

Penne, Thomas. “Développement d'un système de tracking vidéo sur caméra robotisée : Development of a video tracking system on a robotic camera.” 2011. Doctoral Dissertation, Université Blaise-Pascale, Clermont-Ferrand II. Accessed December 11, 2019. http://www.theses.fr/2011CLF22167.

MLA Handbook (7th Edition):

Penne, Thomas. “Développement d'un système de tracking vidéo sur caméra robotisée : Development of a video tracking system on a robotic camera.” 2011. Web. 11 Dec 2019.

Vancouver:

Penne T. Développement d'un système de tracking vidéo sur caméra robotisée : Development of a video tracking system on a robotic camera. [Internet] [Doctoral dissertation]. Université Blaise-Pascale, Clermont-Ferrand II; 2011. [cited 2019 Dec 11]. Available from: http://www.theses.fr/2011CLF22167.

Council of Science Editors:

Penne T. Développement d'un système de tracking vidéo sur caméra robotisée : Development of a video tracking system on a robotic camera. [Doctoral Dissertation]. Université Blaise-Pascale, Clermont-Ferrand II; 2011. Available from: http://www.theses.fr/2011CLF22167

25. 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 11, 2019. http://hdl.handle.net/10063/3676.

MLA Handbook (7th Edition):

Choppala, Praveen Babu. “Bayesian multiple target tracking.” 2014. Web. 11 Dec 2019.

Vancouver:

Choppala PB. Bayesian multiple target tracking. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2014. [cited 2019 Dec 11]. 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


Western Michigan University

26. Manyala, John Omondi. Development of Printed Cross-Functional Sensors for Gearbox Lubricant Prognostics.

Degree: PhD, Electrical and Computer Engineering, 2016, Western Michigan University

  Lubricant oil degradation is a major cause of failures in transportation machinery such as pumps, engines, and gearboxes. Proactive oil maintenance techniques such as… (more)

Subjects/Keywords: Oil condition monitoring; predictive maintenance; remaining useful life prediction; prognostics lubricant; online condition monitor; particle filtering; Electrical and Computer Engineering

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APA (6th Edition):

Manyala, J. O. (2016). Development of Printed Cross-Functional Sensors for Gearbox Lubricant Prognostics. (Doctoral Dissertation). Western Michigan University. Retrieved from https://scholarworks.wmich.edu/dissertations/2474

Chicago Manual of Style (16th Edition):

Manyala, John Omondi. “Development of Printed Cross-Functional Sensors for Gearbox Lubricant Prognostics.” 2016. Doctoral Dissertation, Western Michigan University. Accessed December 11, 2019. https://scholarworks.wmich.edu/dissertations/2474.

MLA Handbook (7th Edition):

Manyala, John Omondi. “Development of Printed Cross-Functional Sensors for Gearbox Lubricant Prognostics.” 2016. Web. 11 Dec 2019.

Vancouver:

Manyala JO. Development of Printed Cross-Functional Sensors for Gearbox Lubricant Prognostics. [Internet] [Doctoral dissertation]. Western Michigan University; 2016. [cited 2019 Dec 11]. Available from: https://scholarworks.wmich.edu/dissertations/2474.

Council of Science Editors:

Manyala JO. Development of Printed Cross-Functional Sensors for Gearbox Lubricant Prognostics. [Doctoral Dissertation]. Western Michigan University; 2016. Available from: https://scholarworks.wmich.edu/dissertations/2474


University of Lund

27. 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 11, 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. 11 Dec 2019.

Vancouver:

Berntorp K. Particle Filtering and Optimal Control for Vehicles and Robots. [Internet] [Doctoral dissertation]. University of Lund; 2014. [cited 2019 Dec 11]. 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

28. Jishy, Khalil. Pistage de cibles manoeuvrantes en radar passif par filtrage à particules gaussiennes : Detection and tracking of maneuvering targets on passive radar by Gaussian particles filtering.

Degree: Docteur es, Informatique et Télécommunications, 2011, Evry, Institut national des télécommunications

Cette thèse porte sur l'application des techniques de filtrage statistiques au radar passif. L'objectif de cette thèse est d'adapter les méthodes à somme de gaussiennes… (more)

Subjects/Keywords: Radar passif; Détection; Poursuite; Filtrage particulaire; Modulation de fréquence; Télévision numérique; Passive radar; Particle filtering; Detection

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APA (6th Edition):

Jishy, K. (2011). Pistage de cibles manoeuvrantes en radar passif par filtrage à particules gaussiennes : Detection and tracking of maneuvering targets on passive radar by Gaussian particles filtering. (Doctoral Dissertation). Evry, Institut national des télécommunications. Retrieved from http://www.theses.fr/2011TELE0010

Chicago Manual of Style (16th Edition):

Jishy, Khalil. “Pistage de cibles manoeuvrantes en radar passif par filtrage à particules gaussiennes : Detection and tracking of maneuvering targets on passive radar by Gaussian particles filtering.” 2011. Doctoral Dissertation, Evry, Institut national des télécommunications. Accessed December 11, 2019. http://www.theses.fr/2011TELE0010.

MLA Handbook (7th Edition):

Jishy, Khalil. “Pistage de cibles manoeuvrantes en radar passif par filtrage à particules gaussiennes : Detection and tracking of maneuvering targets on passive radar by Gaussian particles filtering.” 2011. Web. 11 Dec 2019.

Vancouver:

Jishy K. Pistage de cibles manoeuvrantes en radar passif par filtrage à particules gaussiennes : Detection and tracking of maneuvering targets on passive radar by Gaussian particles filtering. [Internet] [Doctoral dissertation]. Evry, Institut national des télécommunications; 2011. [cited 2019 Dec 11]. Available from: http://www.theses.fr/2011TELE0010.

Council of Science Editors:

Jishy K. Pistage de cibles manoeuvrantes en radar passif par filtrage à particules gaussiennes : Detection and tracking of maneuvering targets on passive radar by Gaussian particles filtering. [Doctoral Dissertation]. Evry, Institut national des télécommunications; 2011. Available from: http://www.theses.fr/2011TELE0010

29. 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 (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 11, 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. 11 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 11]. 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

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

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 11, 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. 11 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 11]. 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

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