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You searched for `subject:(Particle filtering)`

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123 total matches.

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- 2010 – 2014 (60)
- 2005 – 2009 (32)

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1. 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

Record Details Similar Records

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

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

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):

Radek, Hofman. “APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT .” 2011. Thesis, Czech University of Technology. Accessed November 18, 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 (7^{th} Edition):

Radek, Hofman. “APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT .” 2011. Web. 18 Nov 2019.

Vancouver:

Radek H. APPLICATION OF ADVANCED DATA ASSIMILATION METHODS IN OFF-SITE CONSEQUENCE ASSESSMENT . [Internet] [Thesis]. Czech University of Technology; 2011. [cited 2019 Nov 18]. 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

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

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

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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 November 18, 2019. 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. 18 Nov 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 Nov 18]. 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

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 November 18, 2019. 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. 18 Nov 2019.

Vancouver:

Norris MK. INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION. [Internet] [Masters thesis]. Cal Poly; 2016. [cited 2019 Nov 18]. 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

URL: http://hdl.handle.net/1842/4752

► 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

Record Details Similar Records

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

Zhong, Xionghu. “Bayesian framework for multiple acoustic source tracking.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed November 18, 2019. http://hdl.handle.net/1842/4752.

MLA Handbook (7^{th} Edition):

Zhong, Xionghu. “Bayesian framework for multiple acoustic source tracking.” 2010. Web. 18 Nov 2019.

Vancouver:

Zhong X. Bayesian framework for multiple acoustic source tracking. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2019 Nov 18]. 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

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. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157796

Not specified: Masters Thesis or Doctoral Dissertation

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. Thesis, Texas A&M University. Accessed November 18, 2019. http://hdl.handle.net/1969.1/157796.

Not specified: Masters Thesis or Doctoral Dissertation

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. 18 Nov 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 Nov 18]. Available from: http://hdl.handle.net/1969.1/157796.

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

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

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

Record Details Similar Records

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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 November 18, 2019. 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. 18 Nov 2019.

Vancouver:

ZHENG Y. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Syracuse University; 2014. [cited 2019 Nov 18]. 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

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7537

► 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

Record Details Similar Records

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APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Boddikurapati, Sirish. “Sequential Monte Carlo Methods With Applications To Communication Channels.” 2010. Thesis, Texas A&M University. Accessed November 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7537.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Boddikurapati, Sirish. “Sequential Monte Carlo Methods With Applications To Communication Channels.” 2010. Web. 18 Nov 2019.

Vancouver:

Boddikurapati S. Sequential Monte Carlo Methods With Applications To Communication Channels. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7537.

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

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

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

Record Details Similar Records

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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 November 18, 2019. http://hdl.handle.net/2142/50708.

MLA Handbook (7^{th} Edition):

Yang, Tao. “Feedback particle filter and its applications.” 2014. Web. 18 Nov 2019.

Vancouver:

Yang T. Feedback particle filter and its applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Nov 18]. 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

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. (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 (16^{th} Edition):

Aunsri, Nattapol. “Particle filtering for frequency estimation from acoustic time-series in dispersive media.” 2013. Doctoral Dissertation, New Jersey Institute of Technology. Accessed November 18, 2019. 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.” 2013. Web. 18 Nov 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 Nov 18]. 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

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 November 18, 2019. 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. 18 Nov 2019.

Vancouver:

Särkkä S. Recursive Bayesian Inference on Stochastic Differential Equations. [Internet] [Thesis]. Helsinki University of Technology; 2006. [cited 2019 Nov 18]. 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 Canterbury

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

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

URL: http://hdl.handle.net/10092/5805

► 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 (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Krenek, Oliver Francis Daley. “Particle Filtering for Location Estimation.” 2011. Thesis, University of Canterbury. Accessed November 18, 2019. http://hdl.handle.net/10092/5805.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Krenek, Oliver Francis Daley. “Particle Filtering for Location Estimation.” 2011. Web. 18 Nov 2019.

Vancouver:

Krenek OFD. Particle Filtering for Location Estimation. [Internet] [Thesis]. University of Canterbury; 2011. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10092/5805.

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

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

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4209

► 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/4209

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 November 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4209.

MLA Handbook (7^{th} Edition):

Singh, Vivek Kumar. “Monocular human pose tracking and action recognition in dynamic environments.” 2011. Web. 18 Nov 2019.

Vancouver:

Singh VK. Monocular human pose tracking and action recognition in dynamic environments. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Nov 18]. 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

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 November 18, 2019. 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. 18 Nov 2019.

Vancouver:

Newman AK. A particle filter for efficient recursive BATEA analysis of hydrological models. [Internet] [Doctoral dissertation]. University of Newcastle; 2017. [cited 2019 Nov 18]. 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

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

Record Details Similar Records

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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 November 18, 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 (7^{th} Edition):

Javed, Adeel. “Train Localisation using Wireless Sensor Networks .” Web. 18 Nov 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 Nov 18]. 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 Melbourne

15. 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 November 18, 2019. 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. 18 Nov 2019.

Vancouver:

KARUNARATNE BS. Statistical signal processing for target tracking with multipath radar. [Internet] [Doctoral dissertation]. University of Melbourne; 2014. [cited 2019 Nov 18]. 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

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

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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 November 18, 2019. 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. 18 Nov 2019.

Vancouver:

Wang J. Indoor Localization Using Augmented UHF RFID System for the Internet-of-Things . [Internet] [Thesis]. University of Ottawa; 2017. [cited 2019 Nov 18]. 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

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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 November 18, 2019. 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. 18 Nov 2019.

Vancouver:

Michaud NL. Bayesian models and inferential methods for forecasting disease outbreak severity. [Internet] [Thesis]. Iowa State University; 2016. [cited 2019 Nov 18]. 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

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

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 November 18, 2019. 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. 18 Nov 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 Nov 18]. 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 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

URL: http://hdl.handle.net/2142/16914

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Chikkerur, Vishal. “Model reduction of linear and nonlinear systems using balancing methods.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed November 18, 2019. http://hdl.handle.net/2142/16914.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chikkerur, Vishal. “Model reduction of linear and nonlinear systems using balancing methods.” 2010. Web. 18 Nov 2019.

Vancouver:

Chikkerur V. Model reduction of linear and nonlinear systems using balancing methods. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/2142/16914.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Saskatchewan

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

Degree: 2018, University of Saskatchewan

URL: http://hdl.handle.net/10388/11776

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Safarishahrbijari, Anahita. “Particle filtering in compartmental projection models.” 2018. Thesis, University of Saskatchewan. Accessed November 18, 2019. http://hdl.handle.net/10388/11776.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Safarishahrbijari, Anahita. “Particle filtering in compartmental projection models.” 2018. Web. 18 Nov 2019.

Vancouver:

Safarishahrbijari A. Particle filtering in compartmental projection models. [Internet] [Thesis]. University of Saskatchewan; 2018. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10388/11776.

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

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

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 November 18, 2019. http://arks.princeton.edu/ark:/88435/dsp013b591b95d.

MLA Handbook (7^{th} Edition):

Girardi, Matthew. “Liquid Transport and Agglomeration Tendency in Fluidized Beds .” 2015. Web. 18 Nov 2019.

Vancouver:

Girardi M. Liquid Transport and Agglomeration Tendency in Fluidized Beds . [Internet] [Doctoral dissertation]. Princeton University; 2015. [cited 2019 Nov 18]. 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

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 November 18, 2019. 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. 18 Nov 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 Nov 18]. 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

URL: http://hdl.handle.net/2005/675

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Ahmed, Nasrellah Hassan. “Dynamic State Estimation Techniques For Identification Of Parameters Of Finite Element Structural Models.” 2009. Thesis, Indian Institute of Science. Accessed November 18, 2019. http://hdl.handle.net/2005/675.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ahmed, Nasrellah Hassan. “Dynamic State Estimation Techniques For Identification Of Parameters Of Finite Element Structural Models.” 2009. Web. 18 Nov 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 Nov 18]. Available from: http://hdl.handle.net/2005/675.

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

Not specified: Masters Thesis or Doctoral Dissertation

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 November 18, 2019. 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. 18 Nov 2019.

Vancouver:

Ghiotto S. Comparison of nonlinear filtering techniques. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Nov 18]. 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: http://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 http://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 November 18, 2019. http://ufdc.ufl.edu/UFE0044219.

MLA Handbook (7^{th} Edition):

Yoon, Jae Myung. “A Comparative Study of Adaptive MCMC Based Particle Filtering Methods.” 2012. Web. 18 Nov 2019.

Vancouver:

Yoon JM. A Comparative Study of Adaptive MCMC Based Particle Filtering Methods. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2019 Nov 18]. 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

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 November 18, 2019. 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. 18 Nov 2019.

Vancouver:

Wu J. Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications. [Internet] [Doctoral dissertation]. University of New Orleans; 2014. [cited 2019 Nov 18]. 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

URL: http://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 http://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 November 18, 2019. http://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. 18 Nov 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 Nov 18]. 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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1306863054

► 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

Record Details Similar Records

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

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

Zhu, Ting. “Color-Based Fingertip Tracking Using Modified Dynamic Model Particle Filtering Method.” 2011. Masters Thesis, The Ohio State University. Accessed November 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306863054.

MLA Handbook (7^{th} Edition):

Zhu, Ting. “Color-Based Fingertip Tracking Using Modified Dynamic Model Particle Filtering Method.” 2011. Web. 18 Nov 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 Nov 18]. 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

URL: http://hdl.handle.net/11244/7884

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Zhang, Xin. “Manifold Learning for Video-based Human Motion Estimation.” 2011. Thesis, Oklahoma State University. Accessed November 18, 2019. http://hdl.handle.net/11244/7884.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhang, Xin. “Manifold Learning for Video-based Human Motion Estimation.” 2011. Web. 18 Nov 2019.

Vancouver:

Zhang X. Manifold Learning for Video-based Human Motion Estimation. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/11244/7884.

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

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

URL: https://lib.dr.iastate.edu/etd/11811

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Das, Samarjit. “Particle filtering on large dimensional state spaces and applications in computer vision.” 2010. Thesis, Iowa State University. Accessed November 18, 2019. https://lib.dr.iastate.edu/etd/11811.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Das, Samarjit. “Particle filtering on large dimensional state spaces and applications in computer vision.” 2010. Web. 18 Nov 2019.

Vancouver:

Das S. Particle filtering on large dimensional state spaces and applications in computer vision. [Internet] [Thesis]. Iowa State University; 2010. [cited 2019 Nov 18]. Available from: https://lib.dr.iastate.edu/etd/11811.

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

Not specified: Masters Thesis or Doctoral Dissertation