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You searched for `subject:(Particle Filtering)`

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Showing records 1 – 30 of
137 total matches.

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- 2017 – 2021 (30)
- 2012 – 2016 (58)
- 2007 – 2011 (47)

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- PhD (45)
- Docteur es (19)
- MS (11)

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University of Georgia

1. Mesbah , Anousha. Individual localization using landmarks in the presence of interacting robots.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/28053

► In order to path plan and navigate smoothly toward a goal, a mobile robot must know where it is in the environment. Thus robust state…
(more)

Subjects/Keywords: Localization; Particle Filtering; Nested Particle Filtering; Landmarks

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

APA (6^{th} Edition):

Mesbah , A. (2014). Individual localization using landmarks in the presence of interacting robots. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/28053

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Mesbah , Anousha. “Individual localization using landmarks in the presence of interacting robots.” 2014. Thesis, University of Georgia. Accessed March 06, 2021. http://hdl.handle.net/10724/28053.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mesbah , Anousha. “Individual localization using landmarks in the presence of interacting robots.” 2014. Web. 06 Mar 2021.

Vancouver:

Mesbah A. Individual localization using landmarks in the presence of interacting robots. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10724/28053.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mesbah A. Individual localization using landmarks in the presence of interacting robots. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/28053

Not specified: Masters Thesis or Doctoral Dissertation

Tampere University

2. Pirhonen, Mikko. Considerations for Spectral Tracking of Respiration in Photoplethysmography .

Degree: 2020, Tampere University

URL: https://trepo.tuni.fi/handle/10024/118982

► Respiratory regulation constitutes integral measurands towards the assessment of primary decline in patient health. As a vital parameter, the respiratory rate (RR) facilitates the classification…
(more)

Subjects/Keywords: Photoplethysmography ; Respiration ; Synchrosqueezing ; Particle filtering

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APA (6^{th} Edition):

Pirhonen, M. (2020). Considerations for Spectral Tracking of Respiration in Photoplethysmography . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/118982

Chicago Manual of Style (16^{th} Edition):

Pirhonen, Mikko. “Considerations for Spectral Tracking of Respiration in Photoplethysmography .” 2020. Masters Thesis, Tampere University. Accessed March 06, 2021. https://trepo.tuni.fi/handle/10024/118982.

MLA Handbook (7^{th} Edition):

Pirhonen, Mikko. “Considerations for Spectral Tracking of Respiration in Photoplethysmography .” 2020. Web. 06 Mar 2021.

Vancouver:

Pirhonen M. Considerations for Spectral Tracking of Respiration in Photoplethysmography . [Internet] [Masters thesis]. Tampere University; 2020. [cited 2021 Mar 06]. Available from: https://trepo.tuni.fi/handle/10024/118982.

Council of Science Editors:

Pirhonen M. Considerations for Spectral Tracking of Respiration in Photoplethysmography . [Masters Thesis]. Tampere University; 2020. Available from: https://trepo.tuni.fi/handle/10024/118982

Penn State University

3.
Kadetotad, Sneha.
TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED *PARTICLE* * FILTERING*.

Degree: 2011, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/11892

► The localization of vehicles on roadways without the use of a GPS has been of great interest in recent years and a number of solutions…
(more)

Subjects/Keywords: features; particle filtering; localization; vehicles; tracking

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APA (6^{th} Edition):

Kadetotad, S. (2011). TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED PARTICLE FILTERING. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11892

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Kadetotad, Sneha. “TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED PARTICLE FILTERING.” 2011. Thesis, Penn State University. Accessed March 06, 2021. https://submit-etda.libraries.psu.edu/catalog/11892.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kadetotad, Sneha. “TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED PARTICLE FILTERING.” 2011. Web. 06 Mar 2021.

Vancouver:

Kadetotad S. TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED PARTICLE FILTERING. [Internet] [Thesis]. Penn State University; 2011. [cited 2021 Mar 06]. Available from: https://submit-etda.libraries.psu.edu/catalog/11892.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kadetotad S. TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED PARTICLE FILTERING. [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/11892

Not specified: Masters Thesis or Doctoral Dissertation

4. Hofman Radek. APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT .

Degree: 2011, Czech University of Technology

URL: http://hdl.handle.net/10467/8017

APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT; APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT
*Advisors/Committee Members: Pecha Petr (advisor).*

Subjects/Keywords: data assimilation; particle filtering; dispersion modelling

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APA (6^{th} Edition):

Radek, H. (2011). APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT . (Thesis). Czech University of Technology. Retrieved from http://hdl.handle.net/10467/8017

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Radek, Hofman. “APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT .” 2011. Thesis, Czech University of Technology. Accessed March 06, 2021. http://hdl.handle.net/10467/8017.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Radek, Hofman. “APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT .” 2011. Web. 06 Mar 2021.

Vancouver:

Radek H. APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT . [Internet] [Thesis]. Czech University of Technology; 2011. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10467/8017.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Radek H. APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT . [Thesis]. Czech University of Technology; 2011. Available from: http://hdl.handle.net/10467/8017

Not specified: Masters Thesis or Doctoral Dissertation

Cal Poly

5. Norris, Michael K. INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION.

Degree: MS, Computer Science, 2016, Cal Poly

URL: https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96

► This work presents improvements to Monte Carlo Localization (MCL) for a mobile robot using computer vision. Solutions to the localization problem aim to provide…
(more)

Subjects/Keywords: localization; computer vision; particle filtering; Computational Engineering

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APA (6^{th} Edition):

Norris, M. K. (2016). INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96

Chicago Manual of Style (16^{th} Edition):

Norris, Michael K. “INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION.” 2016. Masters Thesis, Cal Poly. Accessed March 06, 2021. https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96.

MLA Handbook (7^{th} Edition):

Norris, Michael K. “INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION.” 2016. Web. 06 Mar 2021.

Vancouver:

Norris MK. INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION. [Internet] [Masters thesis]. Cal Poly; 2016. [cited 2021 Mar 06]. Available from: https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96.

Council of Science Editors:

Norris MK. INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION. [Masters Thesis]. Cal Poly; 2016. Available from: https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96

University of Tennessee – Knoxville

6.
Li, Zhiqiang.
Stability of Nonlinear Filters and Branching *Particle* Approximations to The *Filtering* Problems.

Degree: 2012, University of Tennessee – Knoxville

URL: https://trace.tennessee.edu/utk_graddiss/1322

► 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

Record Details Similar Records

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APA (6^{th} 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 (16^{th} Edition):

Li, Zhiqiang. “Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems.” 2012. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed March 06, 2021. https://trace.tennessee.edu/utk_graddiss/1322.

MLA Handbook (7^{th} Edition):

Li, Zhiqiang. “Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems.” 2012. Web. 06 Mar 2021.

Vancouver:

Li Z. Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2012. [cited 2021 Mar 06]. 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

Texas A&M University

7. McClenny, Levi Daniel. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.

Degree: MS, Electrical Engineering, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/157796

► Recently, state space signal models have been proposed to characterize the behavior of discrete-time boolean dynamical systems. The current system model is one in which…
(more)

Subjects/Keywords: Boolean; Kalman; Filtering; Colored Noise; Correlated Noise; Particle Filtering

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APA (6^{th} Edition):

McClenny, L. D. (2016). Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157796

Chicago Manual of Style (16^{th} Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Masters Thesis, Texas A&M University. Accessed March 06, 2021. http://hdl.handle.net/1969.1/157796.

MLA Handbook (7^{th} Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Web. 06 Mar 2021.

Vancouver:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1969.1/157796.

Council of Science Editors:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157796

Syracuse University

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

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

URL: https://surface.syr.edu/etd/71

► 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 (6^{th} 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 (16^{th} Edition):

ZHENG, YUJIAO. “Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.” 2014. Doctoral Dissertation, Syracuse University. Accessed March 06, 2021. https://surface.syr.edu/etd/71.

MLA Handbook (7^{th} Edition):

ZHENG, YUJIAO. “Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.” 2014. Web. 06 Mar 2021.

Vancouver:

ZHENG Y. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Syracuse University; 2014. [cited 2021 Mar 06]. 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

New Jersey Institute of Technology

9.
Aunsri, Nattapol.
*Particle**filtering* for frequency estimation from acoustic time-series in dispersive media.

Degree: PhD, Mathematical Sciences, 2014, New Jersey Institute of Technology

URL: https://digitalcommons.njit.edu/dissertations/139

► 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

Record Details Similar Records

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APA (6^{th} Edition):

Aunsri, N. (2014). 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 (16^{th} Edition):

Aunsri, Nattapol. “Particle filtering for frequency estimation from acoustic time-series in dispersive media.” 2014. Doctoral Dissertation, New Jersey Institute of Technology. Accessed March 06, 2021. https://digitalcommons.njit.edu/dissertations/139.

MLA Handbook (7^{th} Edition):

Aunsri, Nattapol. “Particle filtering for frequency estimation from acoustic time-series in dispersive media.” 2014. Web. 06 Mar 2021.

Vancouver:

Aunsri N. Particle filtering for frequency estimation from acoustic time-series in dispersive media. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2014. [cited 2021 Mar 06]. 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; 2014. Available from: https://digitalcommons.njit.edu/dissertations/139

University of Illinois – Urbana-Champaign

10.
Yang, Tao.
Feedback *particle* filter and its applications.

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

URL: http://hdl.handle.net/2142/50708

► 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 (6^{th} 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 (16^{th} Edition):

Yang, Tao. “Feedback particle filter and its applications.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 06, 2021. http://hdl.handle.net/2142/50708.

MLA Handbook (7^{th} Edition):

Yang, Tao. “Feedback particle filter and its applications.” 2014. Web. 06 Mar 2021.

Vancouver:

Yang T. Feedback particle filter and its applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2021 Mar 06]. 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

University of Maryland

11. Rabiei, Elaheh. Damage Precursor Based Structural Health Monitoring and Prognostic Framework Using Dynamic Bayesian Network.

Degree: Reliability Engineering, 2016, University of Maryland

URL: http://hdl.handle.net/1903/19324

► Structural health monitoring (SHM), as an essential tool to ensure the health integrity of aging structures, mostly focus on monitoring conventional observable damage markers such…
(more)

Subjects/Keywords: Engineering; Mechanical engineering; Damage precursor; Dynamic Bayesian Network; Particle filtering/ Fully adaptive particle filtering; Prognostics; Structural Health Monitoring; Support Vector Regression

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APA (6^{th} Edition):

Rabiei, E. (2016). Damage Precursor Based Structural Health Monitoring and Prognostic Framework Using Dynamic Bayesian Network. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/19324

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Rabiei, Elaheh. “Damage Precursor Based Structural Health Monitoring and Prognostic Framework Using Dynamic Bayesian Network.” 2016. Thesis, University of Maryland. Accessed March 06, 2021. http://hdl.handle.net/1903/19324.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Rabiei, Elaheh. “Damage Precursor Based Structural Health Monitoring and Prognostic Framework Using Dynamic Bayesian Network.” 2016. Web. 06 Mar 2021.

Vancouver:

Rabiei E. Damage Precursor Based Structural Health Monitoring and Prognostic Framework Using Dynamic Bayesian Network. [Internet] [Thesis]. University of Maryland; 2016. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1903/19324.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rabiei E. Damage Precursor Based Structural Health Monitoring and Prognostic Framework Using Dynamic Bayesian Network. [Thesis]. University of Maryland; 2016. Available from: http://hdl.handle.net/1903/19324

Not specified: Masters Thesis or Doctoral Dissertation

12. Särkkä, Simo. Recursive Bayesian Inference on Stochastic Differential Equations.

Degree: 2006, Helsinki University of Technology

URL: http://lib.tkk.fi/Diss/2006/isbn9512281279/

►

This thesis is concerned with recursive Bayesian estimation of non-linear dynamical systems, which can be modeled as discretely observed stochastic differential equations. The recursive real-time… (more)

Subjects/Keywords: Bayesian inference; continuous-discrete filtering; unscented Kalman filter; particle filter

Record Details Similar Records

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APA (6^{th} Edition):

Särkkä, S. (2006). Recursive Bayesian Inference on Stochastic Differential Equations. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2006/isbn9512281279/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Särkkä, Simo. “Recursive Bayesian Inference on Stochastic Differential Equations.” 2006. Thesis, Helsinki University of Technology. Accessed March 06, 2021. http://lib.tkk.fi/Diss/2006/isbn9512281279/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Särkkä, Simo. “Recursive Bayesian Inference on Stochastic Differential Equations.” 2006. Web. 06 Mar 2021.

Vancouver:

Särkkä S. Recursive Bayesian Inference on Stochastic Differential Equations. [Internet] [Thesis]. Helsinki University of Technology; 2006. [cited 2021 Mar 06]. Available from: http://lib.tkk.fi/Diss/2006/isbn9512281279/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Särkkä S. Recursive Bayesian Inference on Stochastic Differential Equations. [Thesis]. Helsinki University of Technology; 2006. Available from: http://lib.tkk.fi/Diss/2006/isbn9512281279/

Not specified: Masters Thesis or Doctoral Dissertation

University of Newcastle

13.
Newman, Amanda K.
A *particle* filter for efficient recursive BATEA analysis of hydrological models.

Degree: PhD, 2017, University of Newcastle

URL: http://hdl.handle.net/1959.13/1333789

►

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

Record Details Similar Records

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APA (6^{th} 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 (16^{th} Edition):

Newman, Amanda K. “A particle filter for efficient recursive BATEA analysis of hydrological models.” 2017. Doctoral Dissertation, University of Newcastle. Accessed March 06, 2021. http://hdl.handle.net/1959.13/1333789.

MLA Handbook (7^{th} Edition):

Newman, Amanda K. “A particle filter for efficient recursive BATEA analysis of hydrological models.” 2017. Web. 06 Mar 2021.

Vancouver:

Newman AK. A particle filter for efficient recursive BATEA analysis of hydrological models. [Internet] [Doctoral dissertation]. University of Newcastle; 2017. [cited 2021 Mar 06]. 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

Vanderbilt University

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

Degree: PhD, Civil Engineering, 2013, Vanderbilt University

URL: http://hdl.handle.net/1803/13757

► 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

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APA (6^{th} Edition):

Bartram, G. W. (2013). System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13757

Chicago Manual of Style (16^{th} Edition):

Bartram, Gregory Walsh. “System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed March 06, 2021. http://hdl.handle.net/1803/13757.

MLA Handbook (7^{th} Edition):

Bartram, Gregory Walsh. “System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks.” 2013. Web. 06 Mar 2021.

Vancouver:

Bartram GW. System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1803/13757.

Council of Science Editors:

Bartram GW. System Health Diagnosis and Prognosis Using Dynamic Bayesian Networks. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/13757

University of Otago

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

Degree: University of Otago

URL: http://hdl.handle.net/10523/6910

► 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 (6^{th} 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 (16^{th} Edition):

Javed, Adeel. “Train Localisation using Wireless Sensor Networks .” Doctoral Dissertation, University of Otago. Accessed March 06, 2021. http://hdl.handle.net/10523/6910.

Note: this citation may be lacking information needed for this citation format:

No year of publication.

MLA Handbook (7^{th} Edition):

Javed, Adeel. “Train Localisation using Wireless Sensor Networks .” Web. 06 Mar 2021.

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 2021 Mar 06]. Available from: http://hdl.handle.net/10523/6910.

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

No year of publication.

University of Ottawa

16. Wang, Jing. Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things .

Degree: 2017, University of Ottawa

URL: http://hdl.handle.net/10393/36051

► Indoor localization with proximity information in ultra-high-frequency (UHF) radio-frequency-identification (RFID) is widely considered as a potential candidate of locating items in Internet-of-Things (IoT) paradigm. First,…
(more)

Subjects/Keywords: Internet-of-Things; UHF RFID; Indoor localization; Phase cancellation; Particle filtering

Record Details Similar Records

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

APA (6^{th} Edition):

Wang, J. (2017). Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/36051

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wang, Jing. “Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things .” 2017. Thesis, University of Ottawa. Accessed March 06, 2021. http://hdl.handle.net/10393/36051.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wang, Jing. “Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things .” 2017. Web. 06 Mar 2021.

Vancouver:

Wang J. Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things . [Internet] [Thesis]. University of Ottawa; 2017. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10393/36051.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang J. Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things . [Thesis]. University of Ottawa; 2017. Available from: http://hdl.handle.net/10393/36051

Not specified: Masters Thesis or Doctoral Dissertation

Iowa State University

17. Michaud, Nicholas Lorenz. Bayesian models and inferential methods for forecasting disease outbreak severity.

Degree: 2016, Iowa State University

URL: https://lib.dr.iastate.edu/etd/15773

► Timely monitoring and prediction of the trajectory of seasonal influenza epidemics allows hospitals and medical centers to prepare for, and provide better service to, patients…
(more)

Subjects/Keywords: Bayesian; Disease outbreaks; Inference; MCMC; Particle Filtering; Statistics and Probability

Record Details Similar Records

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APA (6^{th} Edition):

Michaud, N. L. (2016). Bayesian models and inferential methods for forecasting disease outbreak severity. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/15773

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Michaud, Nicholas Lorenz. “Bayesian models and inferential methods for forecasting disease outbreak severity.” 2016. Thesis, Iowa State University. Accessed March 06, 2021. https://lib.dr.iastate.edu/etd/15773.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Michaud, Nicholas Lorenz. “Bayesian models and inferential methods for forecasting disease outbreak severity.” 2016. Web. 06 Mar 2021.

Vancouver:

Michaud NL. Bayesian models and inferential methods for forecasting disease outbreak severity. [Internet] [Thesis]. Iowa State University; 2016. [cited 2021 Mar 06]. Available from: https://lib.dr.iastate.edu/etd/15773.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Michaud NL. Bayesian models and inferential methods for forecasting disease outbreak severity. [Thesis]. Iowa State University; 2016. Available from: https://lib.dr.iastate.edu/etd/15773

Not specified: Masters Thesis or Doctoral Dissertation

Princeton University

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

Degree: PhD, 2015, Princeton University

URL: http://arks.princeton.edu/ark:/88435/dsp013b591b95d

► 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

Record Details Similar Records

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APA (6^{th} 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 (16^{th} Edition):

Girardi, Matthew. “Liquid Transport and Agglomeration Tendency in Fluidized Beds .” 2015. Doctoral Dissertation, Princeton University. Accessed March 06, 2021. http://arks.princeton.edu/ark:/88435/dsp013b591b95d.

MLA Handbook (7^{th} Edition):

Girardi, Matthew. “Liquid Transport and Agglomeration Tendency in Fluidized Beds .” 2015. Web. 06 Mar 2021.

Vancouver:

Girardi M. Liquid Transport and Agglomeration Tendency in Fluidized Beds . [Internet] [Doctoral dissertation]. Princeton University; 2015. [cited 2021 Mar 06]. 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

University of Illinois – Urbana-Champaign

19.
Medarametla, Krishna Kalyan.
Comparison of two nonlinear *filtering* techniques - the extended Kalman filter and the feedback *particle* filter.

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

URL: http://hdl.handle.net/2142/50584

► In a recent work it has been shown that importance sampling can be avoided in *particle* filter through an innovation structure inspired by traditional nonlinear…
(more)

Subjects/Keywords: Extended Kalman filter; Feedback particle filter; Comparison; Nonlinear filtering

Record Details Similar Records

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

APA (6^{th} Edition):

Medarametla, K. K. (2014). Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50584

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Medarametla, Krishna Kalyan. “Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed March 06, 2021. http://hdl.handle.net/2142/50584.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Medarametla, Krishna Kalyan. “Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter.” 2014. Web. 06 Mar 2021.

Vancouver:

Medarametla KK. Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/2142/50584.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Medarametla KK. Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50584

Not specified: Masters Thesis or Doctoral Dissertation

University of Melbourne

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

Degree: 2014, University of Melbourne

URL: http://hdl.handle.net/11343/55278

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

KARUNARATNE, BENTARAGE SACHINTHA. “Statistical signal processing for target tracking with multipath radar.” 2014. Doctoral Dissertation, University of Melbourne. Accessed March 06, 2021. http://hdl.handle.net/11343/55278.

MLA Handbook (7^{th} Edition):

KARUNARATNE, BENTARAGE SACHINTHA. “Statistical signal processing for target tracking with multipath radar.” 2014. Web. 06 Mar 2021.

Vancouver:

KARUNARATNE BS. Statistical signal processing for target tracking with multipath radar. [Internet] [Doctoral dissertation]. University of Melbourne; 2014. [cited 2021 Mar 06]. 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

University of Southern California

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

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

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4216

► 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

Record Details Similar Records

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APA (6^{th} 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/4216

Chicago Manual of Style (16^{th} Edition):

Singh, Vivek Kumar. “Monocular human pose tracking and action recognition in dynamic environments.” 2011. Doctoral Dissertation, University of Southern California. Accessed March 06, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4216.

MLA Handbook (7^{th} Edition):

Singh, Vivek Kumar. “Monocular human pose tracking and action recognition in dynamic environments.” 2011. Web. 06 Mar 2021.

Vancouver:

Singh VK. Monocular human pose tracking and action recognition in dynamic environments. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2021 Mar 06]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4216.

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/4216

University of Canterbury

22.
Krenek, Oliver Francis Daley.
*Particle**Filtering* for Location Estimation.

Degree: M. Eng., Electrical Engineering, 2011, University of Canterbury

URL: http://dx.doi.org/10.26021/1203

► Vehicle location and tracking has a variety of commercial applications and none of the techniques currently used can provide accurate results in all situations. This…
(more)

Subjects/Keywords: Particle filtering; vehicle location; vehicle tracking; location estimation

Record Details Similar Records

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APA (6^{th} Edition):

Krenek, O. F. D. (2011). Particle Filtering for Location Estimation. (Masters Thesis). University of Canterbury. Retrieved from http://dx.doi.org/10.26021/1203

Chicago Manual of Style (16^{th} Edition):

Krenek, Oliver Francis Daley. “Particle Filtering for Location Estimation.” 2011. Masters Thesis, University of Canterbury. Accessed March 06, 2021. http://dx.doi.org/10.26021/1203.

MLA Handbook (7^{th} Edition):

Krenek, Oliver Francis Daley. “Particle Filtering for Location Estimation.” 2011. Web. 06 Mar 2021.

Vancouver:

Krenek OFD. Particle Filtering for Location Estimation. [Internet] [Masters thesis]. University of Canterbury; 2011. [cited 2021 Mar 06]. Available from: http://dx.doi.org/10.26021/1203.

Council of Science Editors:

Krenek OFD. Particle Filtering for Location Estimation. [Masters Thesis]. University of Canterbury; 2011. Available from: http://dx.doi.org/10.26021/1203

23. 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

URL: http://www.theses.fr/2015DUNK0367

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 March 06, 2021. http://www.theses.fr/2015DUNK0367.

MLA Handbook (7^{th} 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. 06 Mar 2021.

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 2021 Mar 06]. 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

24.
Ghiotto, Shane.
Comparison of nonlinear *filtering* techniques.

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

URL: http://hdl.handle.net/2142/49437

► In a recent work it is shown that importance sampling can be avoided in the *particle* filter through an innovation structure inspired by traditional nonlinear…
(more)

Subjects/Keywords: Filtering; state estimation; particle filtering; Kalman filter; feedback particle filter

…other case evaluated is a comparison of the resampling based *particle* *filtering*
techniques… …many important advances in importance sampling based approaches for *particle* *filtering*; cf… …CHAPTER 1
INTRODUCTION
*Filtering* and state estimation from noisy measurements is a… …vision
and even economics, the applications of *filtering* are diverse and widespread.
The… …primary objective in *filtering* is to provide an estimate of the hidden state of
a dynamical…

Record Details Similar Records

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

APA (6^{th} Edition):

Ghiotto, S. (2014). Comparison of nonlinear filtering techniques. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/49437

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Ghiotto, Shane. “Comparison of nonlinear filtering techniques.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed March 06, 2021. http://hdl.handle.net/2142/49437.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ghiotto, Shane. “Comparison of nonlinear filtering techniques.” 2014. Web. 06 Mar 2021.

Vancouver:

Ghiotto S. Comparison of nonlinear filtering techniques. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/2142/49437.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ghiotto S. Comparison of nonlinear filtering techniques. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/49437

Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

25.
Yoon, Jae Myung.
A Comparative Study of Adaptive MCMC Based *Particle* *Filtering* Methods.

Degree: MS, Mechanical Engineering - Mechanical and Aerospace Engineering, 2012, University of Florida

URL: https://ufdc.ufl.edu/UFE0044219

► In this thesis, we present a comparative study of conventional *particle* *filtering* (PF) algorithms for tracking applications. Through the review from the generic PF to…
(more)

Subjects/Keywords: Approximation; Covariance; Graphics; Kalman filters; Noise measurement; Particle density; Quantum statistics; Standard deviation; State estimation; Trajectories; filter – filtering – mcmc – particle – tracking

Record Details Similar Records

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

APA (6^{th} Edition):

Yoon, J. M. (2012). A Comparative Study of Adaptive MCMC Based Particle Filtering Methods. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044219

Chicago Manual of Style (16^{th} Edition):

Yoon, Jae Myung. “A Comparative Study of Adaptive MCMC Based Particle Filtering Methods.” 2012. Masters Thesis, University of Florida. Accessed March 06, 2021. https://ufdc.ufl.edu/UFE0044219.

MLA Handbook (7^{th} Edition):

Yoon, Jae Myung. “A Comparative Study of Adaptive MCMC Based Particle Filtering Methods.” 2012. Web. 06 Mar 2021.

Vancouver:

Yoon JM. A Comparative Study of Adaptive MCMC Based Particle Filtering Methods. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2021 Mar 06]. Available from: https://ufdc.ufl.edu/UFE0044219.

Council of Science Editors:

Yoon JM. A Comparative Study of Adaptive MCMC Based Particle Filtering Methods. [Masters Thesis]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044219

University of New Orleans

26.
Wu, Jiande.
Parallel Computing of *Particle* *Filtering* Algorithms for Target Tracking Applications.

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

URL: https://scholarworks.uno.edu/td/1953

► *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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Wu, Jiande. “Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications.” 2014. Doctoral Dissertation, University of New Orleans. Accessed March 06, 2021. https://scholarworks.uno.edu/td/1953.

MLA Handbook (7^{th} Edition):

Wu, Jiande. “Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications.” 2014. Web. 06 Mar 2021.

Vancouver:

Wu J. Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications. [Internet] [Doctoral dissertation]. University of New Orleans; 2014. [cited 2021 Mar 06]. 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

New Jersey Institute of Technology

27.
Jain, Rashi.
Sequential bayesian *filtering* for spatial arrival time estimation.

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

URL: https://digitalcommons.njit.edu/dissertations/281

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Jain, Rashi. “Sequential bayesian filtering for spatial arrival time estimation.” 2011. Doctoral Dissertation, New Jersey Institute of Technology. Accessed March 06, 2021. https://digitalcommons.njit.edu/dissertations/281.

MLA Handbook (7^{th} Edition):

Jain, Rashi. “Sequential bayesian filtering for spatial arrival time estimation.” 2011. Web. 06 Mar 2021.

Vancouver:

Jain R. Sequential bayesian filtering for spatial arrival time estimation. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2011. [cited 2021 Mar 06]. 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 Colorado

28.
Jennings, Dale Kurtis.
Advances in MCMC Methods with Applications to *Particle* *Filtering*, DSMC, and Bayesian Networks.

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

URL: https://scholar.colorado.edu/appm_gradetds/81

► 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

Record Details Similar Records

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

APA (6^{th} 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 https://scholar.colorado.edu/appm_gradetds/81

Chicago Manual of Style (16^{th} Edition):

Jennings, Dale Kurtis. “Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.” 2016. Doctoral Dissertation, University of Colorado. Accessed March 06, 2021. https://scholar.colorado.edu/appm_gradetds/81.

MLA Handbook (7^{th} Edition):

Jennings, Dale Kurtis. “Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.” 2016. Web. 06 Mar 2021.

Vancouver:

Jennings DK. Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2021 Mar 06]. Available from: https://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: https://scholar.colorado.edu/appm_gradetds/81

Brno University of Technology

29. Benko, Matej. Vyhodnocení úspěšnosti filtrů při sledování cílů: Comparison of filters in target tracking.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/179356

► The topic of this bachelor thesis is Optimal Bayesian estimate usage in target tracking with bistatic measurement. The thesis is focused on *particle* *filtering*. It…
(more)

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Benko, Matej. “Vyhodnocení úspěšnosti filtrů při sledování cílů: Comparison of filters in target tracking.” 2019. Thesis, Brno University of Technology. Accessed March 06, 2021. http://hdl.handle.net/11012/179356.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Benko, Matej. “Vyhodnocení úspěšnosti filtrů při sledování cílů: Comparison of filters in target tracking.” 2019. Web. 06 Mar 2021.

Vancouver:

Benko M. Vyhodnocení úspěšnosti filtrů při sledování cílů: Comparison of filters in target tracking. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/11012/179356.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

Princeton University

30. Radulescu, Angela. Computational Mechanisms of Selective Attention during Reinforcement Learning .

Degree: PhD, 2020, Princeton University

URL: http://arks.princeton.edu/ark:/88435/dsp01s4655k528

► The multidimensional nature of our environment raises a fundamental question in the study of learning and decision-making: how do we know which dimensions are relevant…
(more)

Subjects/Keywords: computational modeling; human behavior; particle filtering; reinforcement learning; reward prediction; selective attention

Record Details Similar Records

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APA (6^{th} Edition):

Radulescu, A. (2020). Computational Mechanisms of Selective Attention during Reinforcement Learning . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01s4655k528

Chicago Manual of Style (16^{th} Edition):

Radulescu, Angela. “Computational Mechanisms of Selective Attention during Reinforcement Learning .” 2020. Doctoral Dissertation, Princeton University. Accessed March 06, 2021. http://arks.princeton.edu/ark:/88435/dsp01s4655k528.

MLA Handbook (7^{th} Edition):

Radulescu, Angela. “Computational Mechanisms of Selective Attention during Reinforcement Learning .” 2020. Web. 06 Mar 2021.

Vancouver:

Radulescu A. Computational Mechanisms of Selective Attention during Reinforcement Learning . [Internet] [Doctoral dissertation]. Princeton University; 2020. [cited 2021 Mar 06]. Available from: http://arks.princeton.edu/ark:/88435/dsp01s4655k528.

Council of Science Editors:

Radulescu A. Computational Mechanisms of Selective Attention during Reinforcement Learning . [Doctoral Dissertation]. Princeton University; 2020. Available from: http://arks.princeton.edu/ark:/88435/dsp01s4655k528