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McMaster University

1.
Sithiravel, Rajiv.
B-Spline Based *Multitarget* * Tracking*.

Degree: PhD, 2014, McMaster University

URL: http://hdl.handle.net/11375/16068

► *Multitarget* *tracking* in the presence of false alarm is a difficult problem to consider. The objective of *multitarget* *tracking* is to estimate the number of…
(more)

Subjects/Keywords: Multitarget tracking, Nonlinear filtering, Probability Hypothesis Density filter, Splines; Maneuvering target tracking, Maximum-Likelihood-Probabilistic Data Association Algorithm, Track initialization, Low observable target tracking, Joint Maximum-Likelihood-Probabilistic Data Association Algorithm

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Sithiravel, R. (2014). B-Spline Based Multitarget Tracking. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/16068

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

Sithiravel, Rajiv. “B-Spline Based Multitarget Tracking.” 2014. Doctoral Dissertation, McMaster University. Accessed April 16, 2021. http://hdl.handle.net/11375/16068.

MLA Handbook (7^{th} Edition):

Sithiravel, Rajiv. “B-Spline Based Multitarget Tracking.” 2014. Web. 16 Apr 2021.

Vancouver:

Sithiravel R. B-Spline Based Multitarget Tracking. [Internet] [Doctoral dissertation]. McMaster University; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11375/16068.

Council of Science Editors:

Sithiravel R. B-Spline Based Multitarget Tracking. [Doctoral Dissertation]. McMaster University; 2014. Available from: http://hdl.handle.net/11375/16068

McMaster University

2.
Punithakumar, K.
*Nonlinear**Filtering* Algorithms for *Multitarget* * Tracking*.

Degree: 2007, McMaster University

URL: http://hdl.handle.net/11375/16632

►

*Tracking* multiple targets with uncertain target dynamics is a difficult problem, especially with *nonlinear* state and/or measurement equations. Random finite set theory provides a rigorous…
(more)

Subjects/Keywords: Probability Hypothesis Density filter; multitarget tracking; SNR targets; sensors

Record Details Similar Records

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

APA (6^{th} Edition):

Punithakumar, K. (2007). Nonlinear Filtering Algorithms for Multitarget Tracking. (Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/16632

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):

Punithakumar, K. “Nonlinear Filtering Algorithms for Multitarget Tracking.” 2007. Thesis, McMaster University. Accessed April 16, 2021. http://hdl.handle.net/11375/16632.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Punithakumar, K. “Nonlinear Filtering Algorithms for Multitarget Tracking.” 2007. Web. 16 Apr 2021.

Vancouver:

Punithakumar K. Nonlinear Filtering Algorithms for Multitarget Tracking. [Internet] [Thesis]. McMaster University; 2007. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11375/16632.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Punithakumar K. Nonlinear Filtering Algorithms for Multitarget Tracking. [Thesis]. McMaster University; 2007. Available from: http://hdl.handle.net/11375/16632

Not specified: Masters Thesis or Doctoral Dissertation

McMaster University

3.
Dunne, Darcy.
Random Finite Set Methods for *Multitarget* * Tracking*.

Degree: DEng, 2013, McMaster University

URL: http://hdl.handle.net/11375/12941

►

Multiple target *tracking* (MTT) is a major area that occurs in a variety of real world systems. The problem involves the detection and estimation…
(more)

Subjects/Keywords: Multiple target tracking; Random Finite Sets; Probability Hypothesis Density; Multitarget Multi-Bernoulli; Intensity filter; Multi-Vehicle Systems and Air Traffic Control; Multi-Vehicle Systems and Air Traffic Control

Record Details Similar Records

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

APA (6^{th} Edition):

Dunne, D. (2013). Random Finite Set Methods for Multitarget Tracking. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/12941

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

Dunne, Darcy. “Random Finite Set Methods for Multitarget Tracking.” 2013. Doctoral Dissertation, McMaster University. Accessed April 16, 2021. http://hdl.handle.net/11375/12941.

MLA Handbook (7^{th} Edition):

Dunne, Darcy. “Random Finite Set Methods for Multitarget Tracking.” 2013. Web. 16 Apr 2021.

Vancouver:

Dunne D. Random Finite Set Methods for Multitarget Tracking. [Internet] [Doctoral dissertation]. McMaster University; 2013. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11375/12941.

Council of Science Editors:

Dunne D. Random Finite Set Methods for Multitarget Tracking. [Doctoral Dissertation]. McMaster University; 2013. Available from: http://hdl.handle.net/11375/12941

4.
Ghadami, Soheil.
The Evaluation of the Gaussian Mixture *Probability* *Hypothesis* *Density* *Filter* Applied in a Stereo Vision System.

Degree: 2011, , School of Engineering

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5461

► In this thesis, the performance of the Gaussian Mixture *Probability* *Hypothesis* *Density* (GM-PHD) *filter* using a pair of stereo vision system to overcome label…
(more)

Subjects/Keywords: Gaussian Mixture probability Hypothesis Density Filter; Human Motion Tracking; Data Association; Occlusion Handling; Stereo Vision

Record Details Similar Records

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

APA (6^{th} Edition):

Ghadami, S. (2011). The Evaluation of the Gaussian Mixture Probability Hypothesis Density Filter Applied in a Stereo Vision System. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5461

Not specified: Masters Thesis or Doctoral Dissertation

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

Ghadami, Soheil. “The Evaluation of the Gaussian Mixture Probability Hypothesis Density Filter Applied in a Stereo Vision System.” 2011. Thesis, , School of Engineering. Accessed April 16, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5461.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ghadami, Soheil. “The Evaluation of the Gaussian Mixture Probability Hypothesis Density Filter Applied in a Stereo Vision System.” 2011. Web. 16 Apr 2021.

Vancouver:

Ghadami S. The Evaluation of the Gaussian Mixture Probability Hypothesis Density Filter Applied in a Stereo Vision System. [Internet] [Thesis]. , School of Engineering; 2011. [cited 2021 Apr 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5461.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ghadami S. The Evaluation of the Gaussian Mixture Probability Hypothesis Density Filter Applied in a Stereo Vision System. [Thesis]. , School of Engineering; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5461

Not specified: Masters Thesis or Doctoral Dissertation

5.
WANG YADONG.
Stochastic methods for bayesian *filtering* and their applications to multicamera *multitarget* * tracking*.

Degree: 2008, National University of Singapore

URL: https://scholarbank.nus.edu.sg/handle/10635/28161

Subjects/Keywords: Bayesian filtering; target tracking; particle filter; sequential Monte Carlo method; random set; probability hypothesis density

Record Details Similar Records

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

APA (6^{th} Edition):

YADONG, W. (2008). Stochastic methods for bayesian filtering and their applications to multicamera multitarget tracking. (Thesis). National University of Singapore. Retrieved from https://scholarbank.nus.edu.sg/handle/10635/28161

Not specified: Masters Thesis or Doctoral Dissertation

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

YADONG, WANG. “Stochastic methods for bayesian filtering and their applications to multicamera multitarget tracking.” 2008. Thesis, National University of Singapore. Accessed April 16, 2021. https://scholarbank.nus.edu.sg/handle/10635/28161.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

YADONG, WANG. “Stochastic methods for bayesian filtering and their applications to multicamera multitarget tracking.” 2008. Web. 16 Apr 2021.

Vancouver:

YADONG W. Stochastic methods for bayesian filtering and their applications to multicamera multitarget tracking. [Internet] [Thesis]. National University of Singapore; 2008. [cited 2021 Apr 16]. Available from: https://scholarbank.nus.edu.sg/handle/10635/28161.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

YADONG W. Stochastic methods for bayesian filtering and their applications to multicamera multitarget tracking. [Thesis]. National University of Singapore; 2008. Available from: https://scholarbank.nus.edu.sg/handle/10635/28161

Not specified: Masters Thesis or Doctoral Dissertation

University of New South Wales

6. Narula, Karan. Compressed estimation in coupled high-dimensional processes.

Degree: Mechanical & Manufacturing Engineering, 2019, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/63269 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:60059/SOURCE02?view=true

► The state estimation of high-dimensional problems is a topic of great interest in diverse research and application areas. In such problems, the conventional methods, although…
(more)

Subjects/Keywords: Stochastic PDEs; Generalised compressed kalman filter; High-dimensional estimation; Estimation; Kalman filters; Probability density function; Filtering algorithms; Stochastic processes; Filtering theory; Nonlinear estimation

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

APA (6^{th} Edition):

Narula, K. (2019). Compressed estimation in coupled high-dimensional processes. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/63269 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:60059/SOURCE02?view=true

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

Narula, Karan. “Compressed estimation in coupled high-dimensional processes.” 2019. Doctoral Dissertation, University of New South Wales. Accessed April 16, 2021. http://handle.unsw.edu.au/1959.4/63269 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:60059/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Narula, Karan. “Compressed estimation in coupled high-dimensional processes.” 2019. Web. 16 Apr 2021.

Vancouver:

Narula K. Compressed estimation in coupled high-dimensional processes. [Internet] [Doctoral dissertation]. University of New South Wales; 2019. [cited 2021 Apr 16]. Available from: http://handle.unsw.edu.au/1959.4/63269 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:60059/SOURCE02?view=true.

Council of Science Editors:

Narula K. Compressed estimation in coupled high-dimensional processes. [Doctoral Dissertation]. University of New South Wales; 2019. Available from: http://handle.unsw.edu.au/1959.4/63269 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:60059/SOURCE02?view=true

7.
OYEKANLU, Emmanuel- Adebomi.
Human Motion *Tracking* The Gaussian Mixture *Probability* *Hypothesis* *Density* *Filter* Approach.

Degree: 2010, , School of Engineering

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3700

► Motion *tracking* is an important part of the Intelligent Vision Agent System, IVAS. In this thesis, the Gaussian mixture approximation of the *Probability* *Hypothesis*…
(more)

Subjects/Keywords: Probability Hypothesis Density filter; GM-PHD; IVAS; Performance Evaluation; Tracking

Record Details Similar Records

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

APA (6^{th} Edition):

OYEKANLU, E. A. (2010). Human Motion Tracking The Gaussian Mixture Probability Hypothesis Density Filter Approach. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3700

Not specified: Masters Thesis or Doctoral Dissertation

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

OYEKANLU, Emmanuel- Adebomi. “Human Motion Tracking The Gaussian Mixture Probability Hypothesis Density Filter Approach.” 2010. Thesis, , School of Engineering. Accessed April 16, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3700.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

OYEKANLU, Emmanuel- Adebomi. “Human Motion Tracking The Gaussian Mixture Probability Hypothesis Density Filter Approach.” 2010. Web. 16 Apr 2021.

Vancouver:

OYEKANLU EA. Human Motion Tracking The Gaussian Mixture Probability Hypothesis Density Filter Approach. [Internet] [Thesis]. , School of Engineering; 2010. [cited 2021 Apr 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3700.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

OYEKANLU EA. Human Motion Tracking The Gaussian Mixture Probability Hypothesis Density Filter Approach. [Thesis]. , School of Engineering; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3700

Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

8. Schlenker, Lauren. Spacecraft Relative Navigation Using Random Finite Sets.

Degree: MS, Aerospace Engineering and Mechanics, 2019, University of Minnesota

URL: http://hdl.handle.net/11299/206138

► Future space missions require that spacecraft have onboard capability to autonomously navigate non-cooperative environments for rendezvous and proximity operations (RPO). Current relative navigation filters can…
(more)

Subjects/Keywords: Particle filter; Probability hypothesis density filter; Random finite sets; Relative navigation; SLAM; Spacecraft navigation

Record Details Similar Records

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APA (6^{th} Edition):

Schlenker, L. (2019). Spacecraft Relative Navigation Using Random Finite Sets. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/206138

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

Schlenker, Lauren. “Spacecraft Relative Navigation Using Random Finite Sets.” 2019. Masters Thesis, University of Minnesota. Accessed April 16, 2021. http://hdl.handle.net/11299/206138.

MLA Handbook (7^{th} Edition):

Schlenker, Lauren. “Spacecraft Relative Navigation Using Random Finite Sets.” 2019. Web. 16 Apr 2021.

Vancouver:

Schlenker L. Spacecraft Relative Navigation Using Random Finite Sets. [Internet] [Masters thesis]. University of Minnesota; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11299/206138.

Council of Science Editors:

Schlenker L. Spacecraft Relative Navigation Using Random Finite Sets. [Masters Thesis]. University of Minnesota; 2019. Available from: http://hdl.handle.net/11299/206138

University of New South Wales

9.
Pasha, Syed.
Problems in *nonlinear* Bayesian * filtering*.

Degree: Electrical Engineering & Telecommunications, 2009, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/43792 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:7253/SOURCE1?view=true

► This dissertation presents solutions to two open problems in estimation theory. The first is a tractable analytical solution for problems in multi-target *filtering* which are…
(more)

Subjects/Keywords: Probability Hypothesis Density (PHD); Thesis Digitisation Program; Nonlinear filtering; Markov multi-target model; Multi-target filtering

Record Details Similar Records

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

APA (6^{th} Edition):

Pasha, S. (2009). Problems in nonlinear Bayesian filtering. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/43792 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:7253/SOURCE1?view=true

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

Pasha, Syed. “Problems in nonlinear Bayesian filtering.” 2009. Doctoral Dissertation, University of New South Wales. Accessed April 16, 2021. http://handle.unsw.edu.au/1959.4/43792 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:7253/SOURCE1?view=true.

MLA Handbook (7^{th} Edition):

Pasha, Syed. “Problems in nonlinear Bayesian filtering.” 2009. Web. 16 Apr 2021.

Vancouver:

Pasha S. Problems in nonlinear Bayesian filtering. [Internet] [Doctoral dissertation]. University of New South Wales; 2009. [cited 2021 Apr 16]. Available from: http://handle.unsw.edu.au/1959.4/43792 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:7253/SOURCE1?view=true.

Council of Science Editors:

Pasha S. Problems in nonlinear Bayesian filtering. [Doctoral Dissertation]. University of New South Wales; 2009. Available from: http://handle.unsw.edu.au/1959.4/43792 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:7253/SOURCE1?view=true

Linköping University

10.
Jerrelind, Jakob.
* Tracking* of Pedestrians Using Multi-Target

Degree: Automatic Control, 2020, Linköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172579

► Multi-target *tracking* (MTT) methods estimate the trajectory of targets from noisy measurement; therefore, they can be used to handle the pedestrian-vehicle interaction for a…
(more)

Subjects/Keywords: Multiple target tracking; random finite sets; probability hypothesis density; PHD; cardinalized; CPHD; Control Engineering; Reglerteknik

Record Details Similar Records

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

APA (6^{th} Edition):

Jerrelind, J. (2020). Tracking of Pedestrians Using Multi-Target Tracking Methods with a Group Representation. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172579

Not specified: Masters Thesis or Doctoral Dissertation

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

Jerrelind, Jakob. “Tracking of Pedestrians Using Multi-Target Tracking Methods with a Group Representation.” 2020. Thesis, Linköping University. Accessed April 16, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172579.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Jerrelind, Jakob. “Tracking of Pedestrians Using Multi-Target Tracking Methods with a Group Representation.” 2020. Web. 16 Apr 2021.

Vancouver:

Jerrelind J. Tracking of Pedestrians Using Multi-Target Tracking Methods with a Group Representation. [Internet] [Thesis]. Linköping University; 2020. [cited 2021 Apr 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172579.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jerrelind J. Tracking of Pedestrians Using Multi-Target Tracking Methods with a Group Representation. [Thesis]. Linköping University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172579

Not specified: Masters Thesis or Doctoral Dissertation

University of New Orleans

11.
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 April 16, 2021. https://scholarworks.uno.edu/td/1953.

MLA Handbook (7^{th} Edition):

Wu, Jiande. “Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications.” 2014. Web. 16 Apr 2021.

Vancouver:

Wu J. Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications. [Internet] [Doctoral dissertation]. University of New Orleans; 2014. [cited 2021 Apr 16]. 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

Washington State University

12.
[No author].
Unsupervised Multi-resident *Tracking* in Smart Environments
.

Degree: 2019, Washington State University

URL: http://hdl.handle.net/2376/17889

► Aging is a global challenge that our society will face in the next few decades. Smart environment and ambient assisted living (AAL) offer promising technologies…
(more)

Subjects/Keywords: Electrical engineering; Computer science; Ambient Assisted Living; Indoor Mobility; Multi-Resident Tracking; Predictability; Probability Hypothesis Density Tracking; Smart Home

Record Details Similar Records

❌

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

APA (6^{th} Edition):

author], [. (2019). Unsupervised Multi-resident Tracking in Smart Environments . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/17889

Not specified: Masters Thesis or Doctoral Dissertation

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

author], [No. “Unsupervised Multi-resident Tracking in Smart Environments .” 2019. Thesis, Washington State University. Accessed April 16, 2021. http://hdl.handle.net/2376/17889.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

author], [No. “Unsupervised Multi-resident Tracking in Smart Environments .” 2019. Web. 16 Apr 2021.

Vancouver:

author] [. Unsupervised Multi-resident Tracking in Smart Environments . [Internet] [Thesis]. Washington State University; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2376/17889.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. Unsupervised Multi-resident Tracking in Smart Environments . [Thesis]. Washington State University; 2019. Available from: http://hdl.handle.net/2376/17889

Not specified: Masters Thesis or Doctoral Dissertation

13.
Jiang, Jiewei.
Multiple Nueral Artifacts Suppression Using Gaussian Mixture
Modeling and *Probability* *Hypothesis* *Density* * Filtering*.

Degree: Electrical Engineering, 2014, Arizona State University

URL: http://repository.asu.edu/items/25909

Subjects/Keywords: Electrical engineering; Artifacts Suppression; Feature extraction; Multiple target tracking; Neural activity; Probability hypothesis density filter

…3.3 *Probability* *Hypothesis* *Density* *Filtering* for Multiple Object *Tracking*
In many real… …3.3.2 *Probability* *Hypothesis* *Density* *Filter* Implementation using Particle *Filtering*
In our… …*filtering*, the particle *probability* *hypothesis* *density* *filter*
(PPHDF) has the three main… …problem, the *probability* *hypothesis*
*density* *filter* (PHDF) is a *filter* that can… …*Probability* *Hypothesis* *Density* *Filtering* Formulation
The PHDF is based on a recursion propagating…

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Jiang, J. (2014). Multiple Nueral Artifacts Suppression Using Gaussian Mixture Modeling and Probability Hypothesis Density Filtering. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/25909

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

Jiang, Jiewei. “Multiple Nueral Artifacts Suppression Using Gaussian Mixture Modeling and Probability Hypothesis Density Filtering.” 2014. Masters Thesis, Arizona State University. Accessed April 16, 2021. http://repository.asu.edu/items/25909.

MLA Handbook (7^{th} Edition):

Jiang, Jiewei. “Multiple Nueral Artifacts Suppression Using Gaussian Mixture Modeling and Probability Hypothesis Density Filtering.” 2014. Web. 16 Apr 2021.

Vancouver:

Jiang J. Multiple Nueral Artifacts Suppression Using Gaussian Mixture Modeling and Probability Hypothesis Density Filtering. [Internet] [Masters thesis]. Arizona State University; 2014. [cited 2021 Apr 16]. Available from: http://repository.asu.edu/items/25909.

Council of Science Editors:

Jiang J. Multiple Nueral Artifacts Suppression Using Gaussian Mixture Modeling and Probability Hypothesis Density Filtering. [Masters Thesis]. Arizona State University; 2014. Available from: http://repository.asu.edu/items/25909

University of Florida

14.
Yoon, Jae Myung.
A Comparative Study of Adaptive MCMC Based Particle *Filtering* Methods.

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

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Yoon, Jae Myung. “A Comparative Study of Adaptive MCMC Based Particle Filtering Methods.” 2012. Masters Thesis, University of Florida. Accessed April 16, 2021. https://ufdc.ufl.edu/UFE0044219.

MLA Handbook (7^{th} Edition):

Yoon, Jae Myung. “A Comparative Study of Adaptive MCMC Based Particle Filtering Methods.” 2012. Web. 16 Apr 2021.

Vancouver:

Yoon JM. A Comparative Study of Adaptive MCMC Based Particle Filtering Methods. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2021 Apr 16]. Available from: https://ufdc.ufl.edu/UFE0044219.

Council of Science Editors:

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

15. Petetin, Yohan. Algorithmes de restauration bayésienne mono- et multi-objets dans des modèles markoviens : Single and multiple object(s) Bayesian restoration algorithms for Markovian models.

Degree: Docteur es, Mathématiques appliquées, 2013, Evry, Institut national des télécommunications

URL: http://www.theses.fr/2013TELE0032

►

Cette thèse est consacrée au problème d'estimation bayésienne pour le filtrage statistique, dont l'objectif est d'estimer récursivement des états inconnus à partir d'un historique d'observations,… (more)

Subjects/Keywords: Filtrage particulaire; Méthodes de Monte Carlo; Rao-Blackwell; Probability Hypothesis Density; Filtrage multi-objets; Modèles de Markov cachés; Modèles de Markov couple et triplet; Particle filtering; Monte Carlo methods; Rao-Blackwell; Probability Hypothesis Density; Multi-object filtering; Hidden Markov models; Pairwise and triplet Markov models

Record Details Similar Records

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

APA (6^{th} Edition):

Petetin, Y. (2013). Algorithmes de restauration bayésienne mono- et multi-objets dans des modèles markoviens : Single and multiple object(s) Bayesian restoration algorithms for Markovian models. (Doctoral Dissertation). Evry, Institut national des télécommunications. Retrieved from http://www.theses.fr/2013TELE0032

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

Petetin, Yohan. “Algorithmes de restauration bayésienne mono- et multi-objets dans des modèles markoviens : Single and multiple object(s) Bayesian restoration algorithms for Markovian models.” 2013. Doctoral Dissertation, Evry, Institut national des télécommunications. Accessed April 16, 2021. http://www.theses.fr/2013TELE0032.

MLA Handbook (7^{th} Edition):

Petetin, Yohan. “Algorithmes de restauration bayésienne mono- et multi-objets dans des modèles markoviens : Single and multiple object(s) Bayesian restoration algorithms for Markovian models.” 2013. Web. 16 Apr 2021.

Vancouver:

Petetin Y. Algorithmes de restauration bayésienne mono- et multi-objets dans des modèles markoviens : Single and multiple object(s) Bayesian restoration algorithms for Markovian models. [Internet] [Doctoral dissertation]. Evry, Institut national des télécommunications; 2013. [cited 2021 Apr 16]. Available from: http://www.theses.fr/2013TELE0032.

Council of Science Editors:

Petetin Y. Algorithmes de restauration bayésienne mono- et multi-objets dans des modèles markoviens : Single and multiple object(s) Bayesian restoration algorithms for Markovian models. [Doctoral Dissertation]. Evry, Institut national des télécommunications; 2013. Available from: http://www.theses.fr/2013TELE0032

University of Tennessee – Knoxville

16.
Li, Zhiqiang.
Stability of *Nonlinear* Filters and Branching Particle Approximations to The *Filtering* Problems.

Degree: 2012, University of Tennessee – Knoxville

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

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

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

Record Details Similar Records

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

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 April 16, 2021. https://trace.tennessee.edu/utk_graddiss/1322.

MLA Handbook (7^{th} Edition):

Li, Zhiqiang. “Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems.” 2012. Web. 16 Apr 2021.

Vancouver:

Li Z. Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2012. [cited 2021 Apr 16]. 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

McMaster University

17.
Nadarajah, N.
Retrodiction for *Multitarget* * Tracking*.

Degree: PhD, 2009, McMaster University

URL: http://hdl.handle.net/11375/17364

► Multi-Target *Tracking* (MTT), where the number of targets as well as their states are time-varying, concerns with the estimation of both the number of…
(more)

Subjects/Keywords: electrical and computer engineering; retrodiction; multitarget tracking; smoothing; filtering

Record Details Similar Records

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

APA (6^{th} Edition):

Nadarajah, N. (2009). Retrodiction for Multitarget Tracking. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/17364

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

Nadarajah, N. “Retrodiction for Multitarget Tracking.” 2009. Doctoral Dissertation, McMaster University. Accessed April 16, 2021. http://hdl.handle.net/11375/17364.

MLA Handbook (7^{th} Edition):

Nadarajah, N. “Retrodiction for Multitarget Tracking.” 2009. Web. 16 Apr 2021.

Vancouver:

Nadarajah N. Retrodiction for Multitarget Tracking. [Internet] [Doctoral dissertation]. McMaster University; 2009. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11375/17364.

Council of Science Editors:

Nadarajah N. Retrodiction for Multitarget Tracking. [Doctoral Dissertation]. McMaster University; 2009. Available from: http://hdl.handle.net/11375/17364

Université de Bordeaux I

18.
Pace, Michele.
Stochastic models and methods for multi-object *tracking* : Méthodes et modèles stochastiques pour le suivi multi-objets.

Degree: Docteur es, Mathématiques appliquées, 2011, Université de Bordeaux I

URL: http://www.theses.fr/2011BOR14291

►

La poursuite multi-cibles a pour objet le suivi d’un ensemble de cibles mobiles à partir de données obtenues séquentiellement. Ce problème est particulièrement complexe du… (more)

Subjects/Keywords: Processus de branchements; Filtres particulaires; Filtrage non-linéaire multi-cibles; Systèmes de particules de type champ moyen; Semi-groupes de Feynman-Kac; Filtre PHD; Propriétés de concentration exponentielle; Inégalités de contraction fonctionnelles; Measure-valued equations; Non-linear multi-target filtering; Bernoulli filter; Probability Hypothesis Density filter; Interacting particle systems; Particle filters; Sequential Monte Carlo methods; Exponential concentration inequalities; Semigroup stability; Functional contraction inequalities

Record Details Similar Records

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

APA (6^{th} Edition):

Pace, M. (2011). Stochastic models and methods for multi-object tracking : Méthodes et modèles stochastiques pour le suivi multi-objets. (Doctoral Dissertation). Université de Bordeaux I. Retrieved from http://www.theses.fr/2011BOR14291

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

Pace, Michele. “Stochastic models and methods for multi-object tracking : Méthodes et modèles stochastiques pour le suivi multi-objets.” 2011. Doctoral Dissertation, Université de Bordeaux I. Accessed April 16, 2021. http://www.theses.fr/2011BOR14291.

MLA Handbook (7^{th} Edition):

Pace, Michele. “Stochastic models and methods for multi-object tracking : Méthodes et modèles stochastiques pour le suivi multi-objets.” 2011. Web. 16 Apr 2021.

Vancouver:

Pace M. Stochastic models and methods for multi-object tracking : Méthodes et modèles stochastiques pour le suivi multi-objets. [Internet] [Doctoral dissertation]. Université de Bordeaux I; 2011. [cited 2021 Apr 16]. Available from: http://www.theses.fr/2011BOR14291.

Council of Science Editors:

Pace M. Stochastic models and methods for multi-object tracking : Méthodes et modèles stochastiques pour le suivi multi-objets. [Doctoral Dissertation]. Université de Bordeaux I; 2011. Available from: http://www.theses.fr/2011BOR14291

University of Illinois – Urbana-Champaign

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

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

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Medarametla, Krishna Kalyan. “Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed April 16, 2021. http://hdl.handle.net/2142/50584.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Medarametla, Krishna Kalyan. “Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter.” 2014. Web. 16 Apr 2021.

Vancouver:

Medarametla KK. Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2021 Apr 16]. 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

Loughborough University

20.
Daniyan, Abdullahi.
Advanced signal processing techniques for multi-target * tracking*.

Degree: PhD, 2018, Loughborough University

URL: http://hdl.handle.net/2134/35277

► The multi-target *tracking* problem essentially involves the recursive joint estimation of the state of unknown and time-varying number of targets present in a *tracking* scene,…
(more)

Subjects/Keywords: 621.382; Target tracking; Bayesian inference; Bayesian estimation; Signal Processing; Kalman filter; Random finite sets; RFS; Particle filter; PHD filter; Probability hypothesis filter; CPHD filter; Sequential Monte Carlo; Game theory; Regret matching; Correlated equilibrium; Passive radar; Statistical signal processing; Probability; GLMB; Labelled random finite sets; Kalman gain; Poisson mixture; B-spline

Record Details Similar Records

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

APA (6^{th} Edition):

Daniyan, A. (2018). Advanced signal processing techniques for multi-target tracking. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/35277

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

Daniyan, Abdullahi. “Advanced signal processing techniques for multi-target tracking.” 2018. Doctoral Dissertation, Loughborough University. Accessed April 16, 2021. http://hdl.handle.net/2134/35277.

MLA Handbook (7^{th} Edition):

Daniyan, Abdullahi. “Advanced signal processing techniques for multi-target tracking.” 2018. Web. 16 Apr 2021.

Vancouver:

Daniyan A. Advanced signal processing techniques for multi-target tracking. [Internet] [Doctoral dissertation]. Loughborough University; 2018. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2134/35277.

Council of Science Editors:

Daniyan A. Advanced signal processing techniques for multi-target tracking. [Doctoral Dissertation]. Loughborough University; 2018. Available from: http://hdl.handle.net/2134/35277

The Ohio State University

21.
Koroglu, Muhammed Taha.
Multiple *Hypothesis* Testing Approach to Pedestrian Inertial
Navigation with Non-recursive Bayesian Map-matching.

Degree: PhD, Electrical and Computer Engineering, 2020, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1577135195323298

► Inertial sensors became wearable with the advances in sensing and computing technologies in the last two decades. Captured motion data can be used to build…
(more)

Subjects/Keywords: Engineering; Electrical Engineering; pedestrian tracking; MEMS; inertial navigation system; INS; inertial measurement unit; IMU; building information model; BIM; map-matching; multiple hypothesis testing; Kalman Filter; Particle Filter; Bayesian Filtering; pedestrian INS, zero velocity; ZUPT

Record Details Similar Records

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

APA (6^{th} Edition):

Koroglu, M. T. (2020). Multiple Hypothesis Testing Approach to Pedestrian Inertial Navigation with Non-recursive Bayesian Map-matching. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1577135195323298

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

Koroglu, Muhammed Taha. “Multiple Hypothesis Testing Approach to Pedestrian Inertial Navigation with Non-recursive Bayesian Map-matching.” 2020. Doctoral Dissertation, The Ohio State University. Accessed April 16, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1577135195323298.

MLA Handbook (7^{th} Edition):

Koroglu, Muhammed Taha. “Multiple Hypothesis Testing Approach to Pedestrian Inertial Navigation with Non-recursive Bayesian Map-matching.” 2020. Web. 16 Apr 2021.

Vancouver:

Koroglu MT. Multiple Hypothesis Testing Approach to Pedestrian Inertial Navigation with Non-recursive Bayesian Map-matching. [Internet] [Doctoral dissertation]. The Ohio State University; 2020. [cited 2021 Apr 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1577135195323298.

Council of Science Editors:

Koroglu MT. Multiple Hypothesis Testing Approach to Pedestrian Inertial Navigation with Non-recursive Bayesian Map-matching. [Doctoral Dissertation]. The Ohio State University; 2020. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1577135195323298

22.
Malik, Zohaib Mansoor.
Design and implementation of temporal *filtering* and other data fusion algorithms to enhance the accuracy of a real time radio location *tracking* system.

Degree: Mathematics and Natural Sciences, 2012, University of Gävle

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13261

► A general automotive navigation system is a satellite navigation system designed for use inautomobiles. It typically uses GPS to acquire position data to locate…
(more)

Subjects/Keywords: Kalman filter; Inertial Navigation; Temporal filtering; Accelerometer; Location tracking

Record Details Similar Records

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

APA (6^{th} Edition):

Malik, Z. M. (2012). Design and implementation of temporal filtering and other data fusion algorithms to enhance the accuracy of a real time radio location tracking system. (Thesis). University of Gävle. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13261

Not specified: Masters Thesis or Doctoral Dissertation

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

Malik, Zohaib Mansoor. “Design and implementation of temporal filtering and other data fusion algorithms to enhance the accuracy of a real time radio location tracking system.” 2012. Thesis, University of Gävle. Accessed April 16, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13261.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Malik, Zohaib Mansoor. “Design and implementation of temporal filtering and other data fusion algorithms to enhance the accuracy of a real time radio location tracking system.” 2012. Web. 16 Apr 2021.

Vancouver:

Malik ZM. Design and implementation of temporal filtering and other data fusion algorithms to enhance the accuracy of a real time radio location tracking system. [Internet] [Thesis]. University of Gävle; 2012. [cited 2021 Apr 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13261.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Malik ZM. Design and implementation of temporal filtering and other data fusion algorithms to enhance the accuracy of a real time radio location tracking system. [Thesis]. University of Gävle; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13261

Not specified: Masters Thesis or Doctoral Dissertation

23.
Malik, Zohaib Mansoor.
Design and implementation of temporal *filtering* and other data fusion algorithms to enhance the accuracy of a real time radio location *tracking* system.

Degree: Mathematics and Natural Sciences, 2012, University of Gävle

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13225

► A general automotive navigation system is a satellite navigation system designed for use in automobiles. It typically uses GPS to acquire position data to…
(more)

Subjects/Keywords: Kalman filter; Inertial sensor; Location tracking; Temporal filtering

Record Details Similar Records

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

APA (6^{th} Edition):

Malik, Z. M. (2012). Design and implementation of temporal filtering and other data fusion algorithms to enhance the accuracy of a real time radio location tracking system. (Thesis). University of Gävle. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13225

Not specified: Masters Thesis or Doctoral Dissertation

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

Malik, Zohaib Mansoor. “Design and implementation of temporal filtering and other data fusion algorithms to enhance the accuracy of a real time radio location tracking system.” 2012. Thesis, University of Gävle. Accessed April 16, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13225.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Malik, Zohaib Mansoor. “Design and implementation of temporal filtering and other data fusion algorithms to enhance the accuracy of a real time radio location tracking system.” 2012. Web. 16 Apr 2021.

Vancouver:

Malik ZM. Design and implementation of temporal filtering and other data fusion algorithms to enhance the accuracy of a real time radio location tracking system. [Internet] [Thesis]. University of Gävle; 2012. [cited 2021 Apr 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13225.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Malik ZM. Design and implementation of temporal filtering and other data fusion algorithms to enhance the accuracy of a real time radio location tracking system. [Thesis]. University of Gävle; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13225

Not specified: Masters Thesis or Doctoral Dissertation

University of Michigan

24. Kreucher, Christopher M. An information-based approach to sensor resource allocation.

Degree: PhD, Electrical engineering, 2005, University of Michigan

URL: http://hdl.handle.net/2027.42/124852

► This work addresses the problem of scheduling the resources of agile sensors. We advocate an information-based approach, where sensor tasking decisions are made based on…
(more)

Subjects/Keywords: Approach; Based; Information Theory; Multitarget Tracking; Particle Filtering; Resource Allocation; Sensor

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

APA (6^{th} Edition):

Kreucher, C. M. (2005). An information-based approach to sensor resource allocation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/124852

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

Kreucher, Christopher M. “An information-based approach to sensor resource allocation.” 2005. Doctoral Dissertation, University of Michigan. Accessed April 16, 2021. http://hdl.handle.net/2027.42/124852.

MLA Handbook (7^{th} Edition):

Kreucher, Christopher M. “An information-based approach to sensor resource allocation.” 2005. Web. 16 Apr 2021.

Vancouver:

Kreucher CM. An information-based approach to sensor resource allocation. [Internet] [Doctoral dissertation]. University of Michigan; 2005. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2027.42/124852.

Council of Science Editors:

Kreucher CM. An information-based approach to sensor resource allocation. [Doctoral Dissertation]. University of Michigan; 2005. Available from: http://hdl.handle.net/2027.42/124852

Univerzitet u Beogradu

25. Tadić, Predrag R. Статистичка обрада сигнала за дијагностику грешака и предиктивно одржавање система.

Degree: Elektrotehnički fakultet, 2016, Univerzitet u Beogradu

URL: https://fedorabg.bg.ac.rs/fedora/get/o:11324/bdef:Content/get

►

Електротехника и рачунарство - Управљање системима и обрада сигнала / Electrical and computer engineering - System control and signal processing

Циљ истраживања представљеног у овој… (more)

Subjects/Keywords: Fault detection and isolation. Nonlinear systems. Particle filter. Sequential hypothesis testin

Record Details Similar Records

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

APA (6^{th} Edition):

Tadić, P. R. (2016). Статистичка обрада сигнала за дијагностику грешака и предиктивно одржавање система. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:11324/bdef:Content/get

Not specified: Masters Thesis or Doctoral Dissertation

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

Tadić, Predrag R. “Статистичка обрада сигнала за дијагностику грешака и предиктивно одржавање система.” 2016. Thesis, Univerzitet u Beogradu. Accessed April 16, 2021. https://fedorabg.bg.ac.rs/fedora/get/o:11324/bdef:Content/get.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Tadić, Predrag R. “Статистичка обрада сигнала за дијагностику грешака и предиктивно одржавање система.” 2016. Web. 16 Apr 2021.

Vancouver:

Tadić PR. Статистичка обрада сигнала за дијагностику грешака и предиктивно одржавање система. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2021 Apr 16]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:11324/bdef:Content/get.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tadić PR. Статистичка обрада сигнала за дијагностику грешака и предиктивно одржавање система. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:11324/bdef:Content/get

Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

26.
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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 April 16, 2021. http://hdl.handle.net/2142/50708.

MLA Handbook (7^{th} Edition):

Yang, Tao. “Feedback particle filter and its applications.” 2014. Web. 16 Apr 2021.

Vancouver:

Yang T. Feedback particle filter and its applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2021 Apr 16]. 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

Texas A&M University

27.
Weisman, Ryan Michael 1984-.
* Nonlinear* Transformations and

Degree: PhD, Aerospace Engineering, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/148211

► Decisions for asset allocation and protection are predicated upon accurate knowledge of the current operating environment as well as correctly characterizing the evolution of the…
(more)

Subjects/Keywords: filter initialization; uncertainty estimation; bayesian filtering; nonlinear estimation; space surveillance

Record Details Similar Records

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APA (6^{th} Edition):

Weisman, R. M. 1. (2012). Nonlinear Transformations and Filtering Theory for Space Operations. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148211

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

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Doctoral Dissertation, Texas A&M University. Accessed April 16, 2021. http://hdl.handle.net/1969.1/148211.

MLA Handbook (7^{th} Edition):

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Web. 16 Apr 2021.

Vancouver:

Weisman RM1. Nonlinear Transformations and Filtering Theory for Space Operations. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1969.1/148211.

Council of Science Editors:

Weisman RM1. Nonlinear Transformations and Filtering Theory for Space Operations. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148211

Penn State University

28.
Hussain, Magni Stentoft.
Adaptive Digital *Filtering* Using the Bio-Inspired Firefly Algorithm.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/17117msh5334

► In recent literature, bio-inspired optimization algorithms have been shown to perform well in IIR and *nonlinear* applications. A relatively new bio-inspired optimization algorithm, the Firefly…
(more)

Subjects/Keywords: Adaptive Filtering; Firefly Algorithm; IIR Filter; Nonlinear Filter; System Identification; Fetal Electrocardiogram; Adaptive Noise Cancelling

Record Details Similar Records

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

APA (6^{th} Edition):

Hussain, M. S. (2019). Adaptive Digital Filtering Using the Bio-Inspired Firefly Algorithm. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17117msh5334

Not specified: Masters Thesis or Doctoral Dissertation

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

Hussain, Magni Stentoft. “Adaptive Digital Filtering Using the Bio-Inspired Firefly Algorithm.” 2019. Thesis, Penn State University. Accessed April 16, 2021. https://submit-etda.libraries.psu.edu/catalog/17117msh5334.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hussain, Magni Stentoft. “Adaptive Digital Filtering Using the Bio-Inspired Firefly Algorithm.” 2019. Web. 16 Apr 2021.

Vancouver:

Hussain MS. Adaptive Digital Filtering Using the Bio-Inspired Firefly Algorithm. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Apr 16]. Available from: https://submit-etda.libraries.psu.edu/catalog/17117msh5334.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hussain MS. Adaptive Digital Filtering Using the Bio-Inspired Firefly Algorithm. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/17117msh5334

Not specified: Masters Thesis or Doctoral Dissertation

Queensland University of Technology

29.
Techakesari, Onvaree.
* Filter* and control performance bounds in the presence of model uncertainties with aerospace applications.

Degree: 2013, Queensland University of Technology

URL: https://eprints.qut.edu.au/63956/

► This thesis establishes performance properties for approximate filters and controllers that are designed on the basis of approximate dynamic system representations. These performance properties provide…
(more)

Subjects/Keywords: Approximating Filter; Nonlinear Filtering; Filter Stability; Model Approximation; Relative Entropy; Hybrid Filter; Control Stability; Air Traffic Separation Management; Practical Stability

Record Details Similar Records

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

APA (6^{th} Edition):

Techakesari, O. (2013). Filter and control performance bounds in the presence of model uncertainties with aerospace applications. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/63956/

Not specified: Masters Thesis or Doctoral Dissertation

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

Techakesari, Onvaree. “Filter and control performance bounds in the presence of model uncertainties with aerospace applications.” 2013. Thesis, Queensland University of Technology. Accessed April 16, 2021. https://eprints.qut.edu.au/63956/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Techakesari, Onvaree. “Filter and control performance bounds in the presence of model uncertainties with aerospace applications.” 2013. Web. 16 Apr 2021.

Vancouver:

Techakesari O. Filter and control performance bounds in the presence of model uncertainties with aerospace applications. [Internet] [Thesis]. Queensland University of Technology; 2013. [cited 2021 Apr 16]. Available from: https://eprints.qut.edu.au/63956/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Techakesari O. Filter and control performance bounds in the presence of model uncertainties with aerospace applications. [Thesis]. Queensland University of Technology; 2013. Available from: https://eprints.qut.edu.au/63956/

Not specified: Masters Thesis or Doctoral Dissertation

University of Edinburgh

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

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 April 16, 2021. http://hdl.handle.net/1842/4752.

MLA Handbook (7^{th} Edition):

Zhong, Xionghu. “Bayesian framework for multiple acoustic source tracking.” 2010. Web. 16 Apr 2021.

Vancouver:

Zhong X. Bayesian framework for multiple acoustic source tracking. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2021 Apr 16]. 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