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

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

Degree: 2011, Czech University of Technology

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

APA (6th 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

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

Chicago Manual of Style (16th Edition):

Radek, Hofman. “APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT .” 2011. Thesis, Czech University of Technology. Accessed December 09, 2019. http://hdl.handle.net/10467/8017.

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

MLA Handbook (7th Edition):

Radek, Hofman. “APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT .” 2011. Web. 09 Dec 2019.

Vancouver:

Radek H. APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT . [Internet] [Thesis]. Czech University of Technology; 2011. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/10467/8017.

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

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


University of Tennessee – Knoxville

2. 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 09, 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. 09 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 09]. 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


Cal Poly

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

Degree: MS, Computer Science, 2016, Cal Poly

  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 (6th 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 (16th Edition):

Norris, Michael K. “INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION.” 2016. Masters Thesis, Cal Poly. Accessed December 09, 2019. https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96.

MLA Handbook (7th Edition):

Norris, Michael K. “INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION.” 2016. Web. 09 Dec 2019.

Vancouver:

Norris MK. INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION. [Internet] [Masters thesis]. Cal Poly; 2016. [cited 2019 Dec 09]. 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 Edinburgh

4. 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 09, 2019. http://hdl.handle.net/1842/4752.

MLA Handbook (7th Edition):

Zhong, Xionghu. “Bayesian framework for multiple acoustic source tracking.” 2010. Web. 09 Dec 2019.

Vancouver:

Zhong X. Bayesian framework for multiple acoustic source tracking. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2019 Dec 09]. 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


Texas A&M University

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

Degree: 2016, Texas A&M University

 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 (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Thesis, Texas A&M University. Accessed December 09, 2019. http://hdl.handle.net/1969.1/157796.

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

MLA Handbook (7th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Web. 09 Dec 2019.

Vancouver:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/1969.1/157796.

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

Council of Science Editors:

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

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


Syracuse University

6. 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 09, 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. 09 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 09]. 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


Texas A&M University

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

Degree: 2010, Texas A&M University

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Boddikurapati, Sirish. “Sequential Monte Carlo Methods With Applications To Communication Channels.” 2010. Thesis, Texas A&M University. Accessed December 09, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7537.

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

MLA Handbook (7th Edition):

Boddikurapati, Sirish. “Sequential Monte Carlo Methods With Applications To Communication Channels.” 2010. Web. 09 Dec 2019.

Vancouver:

Boddikurapati S. Sequential Monte Carlo Methods With Applications To Communication Channels. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7537.

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

Council of Science Editors:

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

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


University of Illinois – Urbana-Champaign

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

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 09, 2019. http://hdl.handle.net/2142/50708.

MLA Handbook (7th Edition):

Yang, Tao. “Feedback particle filter and its applications.” 2014. Web. 09 Dec 2019.

Vancouver:

Yang T. Feedback particle filter and its applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Dec 09]. 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

9. 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 09, 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. 09 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 09]. 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

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

Degree: 2006, Helsinki University of Technology

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

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APA (6th 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/

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

Chicago Manual of Style (16th Edition):

Särkkä, Simo. “Recursive Bayesian Inference on Stochastic Differential Equations.” 2006. Thesis, Helsinki University of Technology. Accessed December 09, 2019. http://lib.tkk.fi/Diss/2006/isbn9512281279/.

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

MLA Handbook (7th Edition):

Särkkä, Simo. “Recursive Bayesian Inference on Stochastic Differential Equations.” 2006. Web. 09 Dec 2019.

Vancouver:

Särkkä S. Recursive Bayesian Inference on Stochastic Differential Equations. [Internet] [Thesis]. Helsinki University of Technology; 2006. [cited 2019 Dec 09]. Available from: http://lib.tkk.fi/Diss/2006/isbn9512281279/.

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

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


University of Canterbury

11. Krenek, Oliver Francis Daley. Particle Filtering for Location Estimation.

Degree: Electrical and Computer Engineering, 2011, University of Canterbury

 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

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APA (6th Edition):

Krenek, O. F. D. (2011). Particle Filtering for Location Estimation. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/5805

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

Chicago Manual of Style (16th Edition):

Krenek, Oliver Francis Daley. “Particle Filtering for Location Estimation.” 2011. Thesis, University of Canterbury. Accessed December 09, 2019. http://hdl.handle.net/10092/5805.

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

MLA Handbook (7th Edition):

Krenek, Oliver Francis Daley. “Particle Filtering for Location Estimation.” 2011. Web. 09 Dec 2019.

Vancouver:

Krenek OFD. Particle Filtering for Location Estimation. [Internet] [Thesis]. University of Canterbury; 2011. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/10092/5805.

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

Council of Science Editors:

Krenek OFD. Particle Filtering for Location Estimation. [Thesis]. University of Canterbury; 2011. Available from: http://hdl.handle.net/10092/5805

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


University of Southern California

12. 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 09, 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. 09 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 09]. 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

13. 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 09, 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. 09 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 09]. 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

14. 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 09, 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. 09 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 09]. 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

15. 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 09, 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. 09 Dec 2019.

Vancouver:

KARUNARATNE BS. Statistical signal processing for target tracking with multipath radar. [Internet] [Doctoral dissertation]. University of Melbourne; 2014. [cited 2019 Dec 09]. 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 Ottawa

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

Degree: 2017, University of Ottawa

 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

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

APA (6th 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

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

Chicago Manual of Style (16th Edition):

Wang, Jing. “Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things .” 2017. Thesis, University of Ottawa. Accessed December 09, 2019. http://hdl.handle.net/10393/36051.

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

MLA Handbook (7th Edition):

Wang, Jing. “Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things .” 2017. Web. 09 Dec 2019.

Vancouver:

Wang J. Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things . [Internet] [Thesis]. University of Ottawa; 2017. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/10393/36051.

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

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

 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

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APA (6th 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

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

Chicago Manual of Style (16th Edition):

Michaud, Nicholas Lorenz. “Bayesian models and inferential methods for forecasting disease outbreak severity.” 2016. Thesis, Iowa State University. Accessed December 09, 2019. https://lib.dr.iastate.edu/etd/15773.

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

MLA Handbook (7th Edition):

Michaud, Nicholas Lorenz. “Bayesian models and inferential methods for forecasting disease outbreak severity.” 2016. Web. 09 Dec 2019.

Vancouver:

Michaud NL. Bayesian models and inferential methods for forecasting disease outbreak severity. [Internet] [Thesis]. Iowa State University; 2016. [cited 2019 Dec 09]. Available from: https://lib.dr.iastate.edu/etd/15773.

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

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


University of Illinois – Urbana-Champaign

18. 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

 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

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APA (6th 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

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

Chicago Manual of Style (16th Edition):

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 December 09, 2019. http://hdl.handle.net/2142/50584.

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

MLA Handbook (7th Edition):

Medarametla, Krishna Kalyan. “Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter.” 2014. Web. 09 Dec 2019.

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 2019 Dec 09]. Available from: http://hdl.handle.net/2142/50584.

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

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


University of Illinois – Urbana-Champaign

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

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

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Chikkerur, Vishal. “Model reduction of linear and nonlinear systems using balancing methods.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed December 09, 2019. http://hdl.handle.net/2142/16914.

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

MLA Handbook (7th Edition):

Chikkerur, Vishal. “Model reduction of linear and nonlinear systems using balancing methods.” 2010. Web. 09 Dec 2019.

Vancouver:

Chikkerur V. Model reduction of linear and nonlinear systems using balancing methods. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/2142/16914.

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

Council of Science Editors:

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

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


University of Saskatchewan

20. Safarishahrbijari, Anahita. Particle filtering in compartmental projection models.

Degree: 2018, University of Saskatchewan

 Simulation models are important tools for real-time forecasting of pandemics. Models help health decision makers examine interventions and secure strong guidance when anticipating outbreak evolution.… (more)

Subjects/Keywords: machine learning; particle filtering; system dynamics; projection; outbreaks

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

APA (6th Edition):

Safarishahrbijari, A. (2018). Particle filtering in compartmental projection models. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/11776

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

Chicago Manual of Style (16th Edition):

Safarishahrbijari, Anahita. “Particle filtering in compartmental projection models.” 2018. Thesis, University of Saskatchewan. Accessed December 09, 2019. http://hdl.handle.net/10388/11776.

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

MLA Handbook (7th Edition):

Safarishahrbijari, Anahita. “Particle filtering in compartmental projection models.” 2018. Web. 09 Dec 2019.

Vancouver:

Safarishahrbijari A. Particle filtering in compartmental projection models. [Internet] [Thesis]. University of Saskatchewan; 2018. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/10388/11776.

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

Council of Science Editors:

Safarishahrbijari A. Particle filtering in compartmental projection models. [Thesis]. University of Saskatchewan; 2018. Available from: http://hdl.handle.net/10388/11776

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


Princeton University

21. 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 09, 2019. http://arks.princeton.edu/ark:/88435/dsp013b591b95d.

MLA Handbook (7th Edition):

Girardi, Matthew. “Liquid Transport and Agglomeration Tendency in Fluidized Beds .” 2015. Web. 09 Dec 2019.

Vancouver:

Girardi M. Liquid Transport and Agglomeration Tendency in Fluidized Beds . [Internet] [Doctoral dissertation]. Princeton University; 2015. [cited 2019 Dec 09]. 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

22. 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 09, 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. 09 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 09]. 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


Indian Institute of Science

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

Degree: 2009, Indian Institute of Science

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Ahmed, Nasrellah Hassan. “Dynamic State Estimation Techniques For Identification Of Parameters Of Finite Element Structural Models.” 2009. Thesis, Indian Institute of Science. Accessed December 09, 2019. http://hdl.handle.net/2005/675.

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

MLA Handbook (7th Edition):

Ahmed, Nasrellah Hassan. “Dynamic State Estimation Techniques For Identification Of Parameters Of Finite Element Structural Models.” 2009. Web. 09 Dec 2019.

Vancouver:

Ahmed NH. Dynamic State Estimation Techniques For Identification Of Parameters Of Finite Element Structural Models. [Internet] [Thesis]. Indian Institute of Science; 2009. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/2005/675.

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

Council of Science Editors:

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

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

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

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

 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… 

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Ghiotto, Shane. “Comparison of nonlinear filtering techniques.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed December 09, 2019. http://hdl.handle.net/2142/49437.

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

MLA Handbook (7th Edition):

Ghiotto, Shane. “Comparison of nonlinear filtering techniques.” 2014. Web. 09 Dec 2019.

Vancouver:

Ghiotto S. Comparison of nonlinear filtering techniques. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/2142/49437.

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

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

 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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Yoon, Jae Myung. “A Comparative Study of Adaptive MCMC Based Particle Filtering Methods.” 2012. Masters Thesis, University of Florida. Accessed December 09, 2019. http://ufdc.ufl.edu/UFE0044219.

MLA Handbook (7th Edition):

Yoon, Jae Myung. “A Comparative Study of Adaptive MCMC Based Particle Filtering Methods.” 2012. Web. 09 Dec 2019.

Vancouver:

Yoon JM. A Comparative Study of Adaptive MCMC Based Particle Filtering Methods. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2019 Dec 09]. Available from: http://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: http://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

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

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 09, 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. 09 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 09]. 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

27. 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 09, 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. 09 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 09]. 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


The Ohio State University

28. Zhu, Ting. Color-Based Fingertip Tracking Using Modified Dynamic Model Particle Filtering Method.

Degree: MS, Electrical and Computer Engineering, 2011, The Ohio State University

  Various kinds of algorithms have been developed for object tracking, which can be divided into two categories, probabilistic and non-probabilistic, respectively. In either case,… (more)

Subjects/Keywords: Electrical Engineering; Fingertip Tracking; Particle Filtering; High-order Priori Motion Model; Finger Mouse

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APA (6th Edition):

Zhu, T. (2011). Color-Based Fingertip Tracking Using Modified Dynamic Model Particle Filtering Method. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1306863054

Chicago Manual of Style (16th Edition):

Zhu, Ting. “Color-Based Fingertip Tracking Using Modified Dynamic Model Particle Filtering Method.” 2011. Masters Thesis, The Ohio State University. Accessed December 09, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306863054.

MLA Handbook (7th Edition):

Zhu, Ting. “Color-Based Fingertip Tracking Using Modified Dynamic Model Particle Filtering Method.” 2011. Web. 09 Dec 2019.

Vancouver:

Zhu T. Color-Based Fingertip Tracking Using Modified Dynamic Model Particle Filtering Method. [Internet] [Masters thesis]. The Ohio State University; 2011. [cited 2019 Dec 09]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1306863054.

Council of Science Editors:

Zhu T. Color-Based Fingertip Tracking Using Modified Dynamic Model Particle Filtering Method. [Masters Thesis]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1306863054


Oklahoma State University

29. Zhang, Xin. Manifold Learning for Video-based Human Motion Estimation.

Degree: School of Electrical & Computer Engineering, 2011, Oklahoma State University

 This dissertation presents a generative model-based gait representation framework for video-based human motion estimation. In this work, we advocate an important newconcept, gait manifold, which… (more)

Subjects/Keywords: dimensionality reduction; gaussian processes; manifold learning; particle filtering inference; video-based human

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APA (6th Edition):

Zhang, X. (2011). Manifold Learning for Video-based Human Motion Estimation. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/7884

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

Chicago Manual of Style (16th Edition):

Zhang, Xin. “Manifold Learning for Video-based Human Motion Estimation.” 2011. Thesis, Oklahoma State University. Accessed December 09, 2019. http://hdl.handle.net/11244/7884.

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

MLA Handbook (7th Edition):

Zhang, Xin. “Manifold Learning for Video-based Human Motion Estimation.” 2011. Web. 09 Dec 2019.

Vancouver:

Zhang X. Manifold Learning for Video-based Human Motion Estimation. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11244/7884.

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

Council of Science Editors:

Zhang X. Manifold Learning for Video-based Human Motion Estimation. [Thesis]. Oklahoma State University; 2011. Available from: http://hdl.handle.net/11244/7884

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


Iowa State University

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

Degree: 2010, Iowa State University

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Das, Samarjit. “Particle filtering on large dimensional state spaces and applications in computer vision.” 2010. Thesis, Iowa State University. Accessed December 09, 2019. https://lib.dr.iastate.edu/etd/11811.

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

MLA Handbook (7th Edition):

Das, Samarjit. “Particle filtering on large dimensional state spaces and applications in computer vision.” 2010. Web. 09 Dec 2019.

Vancouver:

Das S. Particle filtering on large dimensional state spaces and applications in computer vision. [Internet] [Thesis]. Iowa State University; 2010. [cited 2019 Dec 09]. Available from: https://lib.dr.iastate.edu/etd/11811.

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

Council of Science Editors:

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

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

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