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You searched for subject:( Particle Filter). Showing records 1 – 30 of 184 total matches.

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University of Alberta

1. Ye, Zi. A Discrete-time Particle Filter and Central Limit Theorem.

Degree: MS, Department of Mathematical and Statistical Sciences, 2013, University of Alberta

We introduce two kinds of particle filters, one is weighted particle filter and the other is resampling particle filter. We prove the Strong Law of Large Numbers and Central Limit Theorem for both particle filters. Then, we show that the resampling particle filter is better than the weighted one.

Subjects/Keywords: Central Limit Theorem; Particle Filter

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

APA (6th Edition):

Ye, Z. (2013). A Discrete-time Particle Filter and Central Limit Theorem. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/bz60cx09v

Chicago Manual of Style (16th Edition):

Ye, Zi. “A Discrete-time Particle Filter and Central Limit Theorem.” 2013. Masters Thesis, University of Alberta. Accessed March 22, 2019. https://era.library.ualberta.ca/files/bz60cx09v.

MLA Handbook (7th Edition):

Ye, Zi. “A Discrete-time Particle Filter and Central Limit Theorem.” 2013. Web. 22 Mar 2019.

Vancouver:

Ye Z. A Discrete-time Particle Filter and Central Limit Theorem. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2019 Mar 22]. Available from: https://era.library.ualberta.ca/files/bz60cx09v.

Council of Science Editors:

Ye Z. A Discrete-time Particle Filter and Central Limit Theorem. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/bz60cx09v


California State University – Chico

2. Daley, Patrick. A REAL-TIME EFFICIENT PARTICLE FILTER ALGORITHM FOR REALISTIC TARGET TRACKING IN GAMES .

Degree: 2012, California State University – Chico

 The challenge for a computer game agent in a partially observable targettracking environment is to estimate where the target might be before taking the next… (more)

Subjects/Keywords: computer games particle filter algorithm

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APA (6th Edition):

Daley, P. (2012). A REAL-TIME EFFICIENT PARTICLE FILTER ALGORITHM FOR REALISTIC TARGET TRACKING IN GAMES . (Thesis). California State University – Chico. Retrieved from http://hdl.handle.net/10211.4/424

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

Chicago Manual of Style (16th Edition):

Daley, Patrick. “A REAL-TIME EFFICIENT PARTICLE FILTER ALGORITHM FOR REALISTIC TARGET TRACKING IN GAMES .” 2012. Thesis, California State University – Chico. Accessed March 22, 2019. http://hdl.handle.net/10211.4/424.

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

MLA Handbook (7th Edition):

Daley, Patrick. “A REAL-TIME EFFICIENT PARTICLE FILTER ALGORITHM FOR REALISTIC TARGET TRACKING IN GAMES .” 2012. Web. 22 Mar 2019.

Vancouver:

Daley P. A REAL-TIME EFFICIENT PARTICLE FILTER ALGORITHM FOR REALISTIC TARGET TRACKING IN GAMES . [Internet] [Thesis]. California State University – Chico; 2012. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10211.4/424.

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

Council of Science Editors:

Daley P. A REAL-TIME EFFICIENT PARTICLE FILTER ALGORITHM FOR REALISTIC TARGET TRACKING IN GAMES . [Thesis]. California State University – Chico; 2012. Available from: http://hdl.handle.net/10211.4/424

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

3. Barac, Daniel. Localization algorithms for indoor UAVs.

Degree: UASTECH - Autonomous Unmanned Aircraft Systems Technologies, 2011, Linköping UniversityLinköping University

  The increased market for navigation, localization and mapping system has encouraged the research to dig deeper into these new and challenging areas. The remarkable… (more)

Subjects/Keywords: UAV; particle filter; Octomap; localization

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APA (6th Edition):

Barac, D. (2011). Localization algorithms for indoor UAVs. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72217

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

Chicago Manual of Style (16th Edition):

Barac, Daniel. “Localization algorithms for indoor UAVs.” 2011. Thesis, Linköping UniversityLinköping University. Accessed March 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72217.

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

MLA Handbook (7th Edition):

Barac, Daniel. “Localization algorithms for indoor UAVs.” 2011. Web. 22 Mar 2019.

Vancouver:

Barac D. Localization algorithms for indoor UAVs. [Internet] [Thesis]. Linköping UniversityLinköping University; 2011. [cited 2019 Mar 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72217.

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

Council of Science Editors:

Barac D. Localization algorithms for indoor UAVs. [Thesis]. Linköping UniversityLinköping University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72217

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


Delft University of Technology

4. Chitchian, M.M. Adapting Particle Filter Algorithms to the GPU Architecture:.

Degree: 2011, Delft University of Technology

 The particle filter is a Bayesian estimation technique based on Monte Carlo simulations. The non-parametric nature of particle filters makes them ideal for non-linear non-Gaussian… (more)

Subjects/Keywords: particle filter; bayesian estimation; CUDA; GPGPU; GPU; bayes filter; non-linear estimation; distributed particle filter; real-time estimation; parallel particle filter

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APA (6th Edition):

Chitchian, M. M. (2011). Adapting Particle Filter Algorithms to the GPU Architecture:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f

Chicago Manual of Style (16th Edition):

Chitchian, M M. “Adapting Particle Filter Algorithms to the GPU Architecture:.” 2011. Masters Thesis, Delft University of Technology. Accessed March 22, 2019. http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f.

MLA Handbook (7th Edition):

Chitchian, M M. “Adapting Particle Filter Algorithms to the GPU Architecture:.” 2011. Web. 22 Mar 2019.

Vancouver:

Chitchian MM. Adapting Particle Filter Algorithms to the GPU Architecture:. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2019 Mar 22]. Available from: http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f.

Council of Science Editors:

Chitchian MM. Adapting Particle Filter Algorithms to the GPU Architecture:. [Masters Thesis]. Delft University of Technology; 2011. Available from: http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f


University of Alberta

5. Wang, Xingpu. Web Based Particle Filters.

Degree: MS, Department of Mathematical and Statistical Sciences, 2015, University of Alberta

 In this thesis, we first introduce two basic problems of filter, the nonlinear filtering and model selection problem. We show that both of them can… (more)

Subjects/Keywords: Branching; Resample; Bayes Inference; Particle Filter

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APA (6th Edition):

Wang, X. (2015). Web Based Particle Filters. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/c6969z0831

Chicago Manual of Style (16th Edition):

Wang, Xingpu. “Web Based Particle Filters.” 2015. Masters Thesis, University of Alberta. Accessed March 22, 2019. https://era.library.ualberta.ca/files/c6969z0831.

MLA Handbook (7th Edition):

Wang, Xingpu. “Web Based Particle Filters.” 2015. Web. 22 Mar 2019.

Vancouver:

Wang X. Web Based Particle Filters. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Mar 22]. Available from: https://era.library.ualberta.ca/files/c6969z0831.

Council of Science Editors:

Wang X. Web Based Particle Filters. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/c6969z0831


University of Alberta

6. Deng,Jing. Modeling and Development of Soft Sensors with Particle Filtering Approach.

Degree: MS, Department of Chemical and Materials Engineering, 2012, University of Alberta

 Limitations of measurement techniques and increasingly complex chemical process render difficulties in obtaining certain critical process variables. The hardware sensor reading may have an obvious… (more)

Subjects/Keywords: EM algorithm; Particle Filter; Soft Sensor

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APA (6th Edition):

Deng,Jing. (2012). Modeling and Development of Soft Sensors with Particle Filtering Approach. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/k643b130g

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Deng,Jing. “Modeling and Development of Soft Sensors with Particle Filtering Approach.” 2012. Masters Thesis, University of Alberta. Accessed March 22, 2019. https://era.library.ualberta.ca/files/k643b130g.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Deng,Jing. “Modeling and Development of Soft Sensors with Particle Filtering Approach.” 2012. Web. 22 Mar 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Deng,Jing. Modeling and Development of Soft Sensors with Particle Filtering Approach. [Internet] [Masters thesis]. University of Alberta; 2012. [cited 2019 Mar 22]. Available from: https://era.library.ualberta.ca/files/k643b130g.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Deng,Jing. Modeling and Development of Soft Sensors with Particle Filtering Approach. [Masters Thesis]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/k643b130g

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Texas A&M University

7. Noor, Amina. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.

Degree: 2012, Texas A&M University

 This thesis considers the problem of learning the structure of gene regulatory networks using gene expression time series data. A more realistic scenario where the… (more)

Subjects/Keywords: gene network modeling; particle filter; lasso

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APA (6th Edition):

Noor, A. (2012). Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860

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

Chicago Manual of Style (16th Edition):

Noor, Amina. “Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.” 2012. Thesis, Texas A&M University. Accessed March 22, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860.

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

MLA Handbook (7th Edition):

Noor, Amina. “Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.” 2012. Web. 22 Mar 2019.

Vancouver:

Noor A. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860.

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

Council of Science Editors:

Noor A. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860

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


Georgia Tech

8. Leonard, Andrew. Vehicle tracking using ultra-wideband radar.

Degree: MS, Mechanical Engineering, 2016, Georgia Tech

 In this thesis a vehicle tracking problem using an ultra-wideband radar sensor is considered. Prior research is heavily focused on specific applications, such as highway… (more)

Subjects/Keywords: Vehicle tracking; Ultra-wideband; Radar; Particle filter

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APA (6th Edition):

Leonard, A. (2016). Vehicle tracking using ultra-wideband radar. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56265

Chicago Manual of Style (16th Edition):

Leonard, Andrew. “Vehicle tracking using ultra-wideband radar.” 2016. Masters Thesis, Georgia Tech. Accessed March 22, 2019. http://hdl.handle.net/1853/56265.

MLA Handbook (7th Edition):

Leonard, Andrew. “Vehicle tracking using ultra-wideband radar.” 2016. Web. 22 Mar 2019.

Vancouver:

Leonard A. Vehicle tracking using ultra-wideband radar. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/1853/56265.

Council of Science Editors:

Leonard A. Vehicle tracking using ultra-wideband radar. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56265


University of Canterbury

9. Gao, Hongzhi. Real Time Human Tracking in Unconstrained Environments.

Degree: Computer Science and Software Engineering, 2011, University of Canterbury

 The tabu search particle filter is proposed in this research based on the integration of the modified tabu search metaheuristic optimization and the genetic particle(more)

Subjects/Keywords: computer vision; real-time tracking; particle filter

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APA (6th Edition):

Gao, H. (2011). Real Time Human Tracking in Unconstrained Environments. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/5683

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

Chicago Manual of Style (16th Edition):

Gao, Hongzhi. “Real Time Human Tracking in Unconstrained Environments.” 2011. Thesis, University of Canterbury. Accessed March 22, 2019. http://hdl.handle.net/10092/5683.

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

MLA Handbook (7th Edition):

Gao, Hongzhi. “Real Time Human Tracking in Unconstrained Environments.” 2011. Web. 22 Mar 2019.

Vancouver:

Gao H. Real Time Human Tracking in Unconstrained Environments. [Internet] [Thesis]. University of Canterbury; 2011. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10092/5683.

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

Council of Science Editors:

Gao H. Real Time Human Tracking in Unconstrained Environments. [Thesis]. University of Canterbury; 2011. Available from: http://hdl.handle.net/10092/5683

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

10. Marathe, Kedar Pramodan. An Adaptive Nested Particle Filter with Advanced Weighting to handle localization and tracking under extreme sensory occlusion.

Degree: MS, Artificial Intelligence, 2014, University of Georgia

 Robot localization under extreme occlusion is a common scenario in the real world. Examples include an autonomous car following another car along long stretches of… (more)

Subjects/Keywords: Particle Filter

…time. We further introduce a modification to the traditional Nested Particle Filter that… …typical MCL algorithm, let us look at the Nested MCL algorithm. The Nested Particle Filter or… …NPF” for short, is a Particle Filter modified to not only localize the subject robot (… …that is similar to the one used for localizing roboti . The Nested Particle Filter (NPF… …modified to become recursive for the Nested Particle Filter or ”NPF”. 6 Propagation… 

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APA (6th Edition):

Marathe, K. P. (2014). An Adaptive Nested Particle Filter with Advanced Weighting to handle localization and tracking under extreme sensory occlusion. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/marathe_kedar_p_201412_ms

Chicago Manual of Style (16th Edition):

Marathe, Kedar Pramodan. “An Adaptive Nested Particle Filter with Advanced Weighting to handle localization and tracking under extreme sensory occlusion.” 2014. Masters Thesis, University of Georgia. Accessed March 22, 2019. http://purl.galileo.usg.edu/uga_etd/marathe_kedar_p_201412_ms.

MLA Handbook (7th Edition):

Marathe, Kedar Pramodan. “An Adaptive Nested Particle Filter with Advanced Weighting to handle localization and tracking under extreme sensory occlusion.” 2014. Web. 22 Mar 2019.

Vancouver:

Marathe KP. An Adaptive Nested Particle Filter with Advanced Weighting to handle localization and tracking under extreme sensory occlusion. [Internet] [Masters thesis]. University of Georgia; 2014. [cited 2019 Mar 22]. Available from: http://purl.galileo.usg.edu/uga_etd/marathe_kedar_p_201412_ms.

Council of Science Editors:

Marathe KP. An Adaptive Nested Particle Filter with Advanced Weighting to handle localization and tracking under extreme sensory occlusion. [Masters Thesis]. University of Georgia; 2014. Available from: http://purl.galileo.usg.edu/uga_etd/marathe_kedar_p_201412_ms


Linköping University

11. Emilsson, André. Indoor Navigation Using an iPhone.

Degree: Electrical Engineering, 2010, Linköping University

  Indoor navigation could be used in many applications to enhance performance in its specific area. Anything from serious life critical tasks like aiding firefighters… (more)

Subjects/Keywords: Indoor navigation; iPhone; Particle filter; TECHNOLOGY; TEKNIKVETENSKAP

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APA (6th Edition):

Emilsson, A. (2010). Indoor Navigation Using an iPhone. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57890

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

Chicago Manual of Style (16th Edition):

Emilsson, André. “Indoor Navigation Using an iPhone.” 2010. Thesis, Linköping University. Accessed March 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57890.

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

MLA Handbook (7th Edition):

Emilsson, André. “Indoor Navigation Using an iPhone.” 2010. Web. 22 Mar 2019.

Vancouver:

Emilsson A. Indoor Navigation Using an iPhone. [Internet] [Thesis]. Linköping University; 2010. [cited 2019 Mar 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57890.

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

Council of Science Editors:

Emilsson A. Indoor Navigation Using an iPhone. [Thesis]. Linköping University; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57890

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


University of New South Wales

12. Chen, Yu. Facial Segmentation Using Boosted Dynamic Mixture Active Shape Model.

Degree: Computer Science & Engineering, 2015, University of New South Wales

 Considerable research has been done on automatic extraction of salient features from human faces in images over the last 20 years. For many existing systems,… (more)

Subjects/Keywords: Particle Filter; Active Shape Model; Machine Learning

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APA (6th Edition):

Chen, Y. (2015). Facial Segmentation Using Boosted Dynamic Mixture Active Shape Model. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/54529 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:35191/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Chen, Yu. “Facial Segmentation Using Boosted Dynamic Mixture Active Shape Model.” 2015. Masters Thesis, University of New South Wales. Accessed March 22, 2019. http://handle.unsw.edu.au/1959.4/54529 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:35191/SOURCE02?view=true.

MLA Handbook (7th Edition):

Chen, Yu. “Facial Segmentation Using Boosted Dynamic Mixture Active Shape Model.” 2015. Web. 22 Mar 2019.

Vancouver:

Chen Y. Facial Segmentation Using Boosted Dynamic Mixture Active Shape Model. [Internet] [Masters thesis]. University of New South Wales; 2015. [cited 2019 Mar 22]. Available from: http://handle.unsw.edu.au/1959.4/54529 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:35191/SOURCE02?view=true.

Council of Science Editors:

Chen Y. Facial Segmentation Using Boosted Dynamic Mixture Active Shape Model. [Masters Thesis]. University of New South Wales; 2015. Available from: http://handle.unsw.edu.au/1959.4/54529 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:35191/SOURCE02?view=true

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

Degree: 2006, Helsinki University of Technology

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Särkkä, Simo. “Recursive Bayesian Inference on Stochastic Differential Equations.” 2006. Thesis, Helsinki University of Technology. Accessed March 22, 2019. http://lib.tkk.fi/Diss/2006/isbn9512281279/.

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

MLA Handbook (7th Edition):

Särkkä, Simo. “Recursive Bayesian Inference on Stochastic Differential Equations.” 2006. Web. 22 Mar 2019.

Vancouver:

Särkkä S. Recursive Bayesian Inference on Stochastic Differential Equations. [Internet] [Thesis]. Helsinki University of Technology; 2006. [cited 2019 Mar 22]. Available from: http://lib.tkk.fi/Diss/2006/isbn9512281279/.

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

Council of Science Editors:

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

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


University of Alberta

14. Shenoy, Arjun Vsiwanath. Unconstrained nonlinear state estimation for chemical processes.

Degree: MS, Department of Chemical and Materials Engineering, 2010, University of Alberta

 Estimation theory is a branch of statistics and probability that derives information about random variables based on known information. In process engineering, state estimation is… (more)

Subjects/Keywords: Kalman filter; Particle filter; Estimation theory; polymer reactors

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APA (6th Edition):

Shenoy, A. V. (2010). Unconstrained nonlinear state estimation for chemical processes. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/n009w369x

Chicago Manual of Style (16th Edition):

Shenoy, Arjun Vsiwanath. “Unconstrained nonlinear state estimation for chemical processes.” 2010. Masters Thesis, University of Alberta. Accessed March 22, 2019. https://era.library.ualberta.ca/files/n009w369x.

MLA Handbook (7th Edition):

Shenoy, Arjun Vsiwanath. “Unconstrained nonlinear state estimation for chemical processes.” 2010. Web. 22 Mar 2019.

Vancouver:

Shenoy AV. Unconstrained nonlinear state estimation for chemical processes. [Internet] [Masters thesis]. University of Alberta; 2010. [cited 2019 Mar 22]. Available from: https://era.library.ualberta.ca/files/n009w369x.

Council of Science Editors:

Shenoy AV. Unconstrained nonlinear state estimation for chemical processes. [Masters Thesis]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/n009w369x


University of Illinois – Urbana-Champaign

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

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

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Medarametla, Krishna Kalyan. “Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed March 22, 2019. http://hdl.handle.net/2142/50584.

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

MLA Handbook (7th Edition):

Medarametla, Krishna Kalyan. “Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter.” 2014. Web. 22 Mar 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 Mar 22]. Available from: http://hdl.handle.net/2142/50584.

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

Council of Science Editors:

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

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


University of California – Berkeley

16. Lei, Jing. Non-linear Filtering for State Space Models - High-Dimensional Applications and Theoretical Results.

Degree: Statistics, 2010, University of California – Berkeley

 State space models are powerful modeling tools for stochastic dynamical systems and have been an important research area in the statistics community in the last… (more)

Subjects/Keywords: Statistics; chaotic dynamical systems; high dimension data; Kalman filter; particle filter; robustness; state space models

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

APA (6th Edition):

Lei, J. (2010). Non-linear Filtering for State Space Models - High-Dimensional Applications and Theoretical Results. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/3tm9052d

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

Chicago Manual of Style (16th Edition):

Lei, Jing. “Non-linear Filtering for State Space Models - High-Dimensional Applications and Theoretical Results.” 2010. Thesis, University of California – Berkeley. Accessed March 22, 2019. http://www.escholarship.org/uc/item/3tm9052d.

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

MLA Handbook (7th Edition):

Lei, Jing. “Non-linear Filtering for State Space Models - High-Dimensional Applications and Theoretical Results.” 2010. Web. 22 Mar 2019.

Vancouver:

Lei J. Non-linear Filtering for State Space Models - High-Dimensional Applications and Theoretical Results. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2019 Mar 22]. Available from: http://www.escholarship.org/uc/item/3tm9052d.

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

Council of Science Editors:

Lei J. Non-linear Filtering for State Space Models - High-Dimensional Applications and Theoretical Results. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/3tm9052d

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


University of Waterloo

17. Datta Gupta, Syamantak. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.

Degree: 2009, University of Waterloo

 Non-linear Bayesian estimation, or estimation of the state of a non-linear stochastic system from a set of indirect noisy measurements is a problem encountered in… (more)

Subjects/Keywords: Bayesian estimation; non-linear filtering; particle filter; ensemble Kalman filter; Monte Carlo methods; Bayesian inference

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

APA (6th Edition):

Datta Gupta, S. (2009). A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4503

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

Chicago Manual of Style (16th Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Thesis, University of Waterloo. Accessed March 22, 2019. http://hdl.handle.net/10012/4503.

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

MLA Handbook (7th Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Web. 22 Mar 2019.

Vancouver:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10012/4503.

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

Council of Science Editors:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Thesis]. University of Waterloo; 2009. Available from: http://hdl.handle.net/10012/4503

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


University of Waterloo

18. Won, Peter. Intelligent Fastening Tool Tracking Systems Using Hybrid Remote Sensing Technologies.

Degree: 2010, University of Waterloo

 This research focuses on the development of intelligent fastening tool tracking systems for the automotive industry to identify the fastened bolts. In order to accomplish… (more)

Subjects/Keywords: Kalman filter; inertial measurement unit; position tracking; particle filter; fastening tool; orientation

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APA (6th Edition):

Won, P. (2010). Intelligent Fastening Tool Tracking Systems Using Hybrid Remote Sensing Technologies. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5230

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

Chicago Manual of Style (16th Edition):

Won, Peter. “Intelligent Fastening Tool Tracking Systems Using Hybrid Remote Sensing Technologies.” 2010. Thesis, University of Waterloo. Accessed March 22, 2019. http://hdl.handle.net/10012/5230.

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

MLA Handbook (7th Edition):

Won, Peter. “Intelligent Fastening Tool Tracking Systems Using Hybrid Remote Sensing Technologies.” 2010. Web. 22 Mar 2019.

Vancouver:

Won P. Intelligent Fastening Tool Tracking Systems Using Hybrid Remote Sensing Technologies. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10012/5230.

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

Council of Science Editors:

Won P. Intelligent Fastening Tool Tracking Systems Using Hybrid Remote Sensing Technologies. [Thesis]. University of Waterloo; 2010. Available from: http://hdl.handle.net/10012/5230

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

19. Rosander, Peter. Camera Based Terrain Navigation.

Degree: Electrical Engineering, 2009, Linköping UniversityLinköping University

The standard way for both ground and aerial vehicles to navigate is to use anInertial Navigation System, INS, containing an Inertial Measurement Unit, IMU,measuring… (more)

Subjects/Keywords: UAV; Kalman Filter; Particle Filter; Image Processing; Estimation; Automatic control; Reglerteknik; Signal processing; Signalbehandling

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APA (6th Edition):

Rosander, P. (2009). Camera Based Terrain Navigation. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16953

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

Chicago Manual of Style (16th Edition):

Rosander, Peter. “Camera Based Terrain Navigation.” 2009. Thesis, Linköping UniversityLinköping University. Accessed March 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16953.

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

MLA Handbook (7th Edition):

Rosander, Peter. “Camera Based Terrain Navigation.” 2009. Web. 22 Mar 2019.

Vancouver:

Rosander P. Camera Based Terrain Navigation. [Internet] [Thesis]. Linköping UniversityLinköping University; 2009. [cited 2019 Mar 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16953.

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

Council of Science Editors:

Rosander P. Camera Based Terrain Navigation. [Thesis]. Linköping UniversityLinköping University; 2009. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16953

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


George Mason University

20. Palvai, Anoop Kumar. Passive RF Localization Based on RSSI Using Non-linear Bayesian Estimation .

Degree: 2009, George Mason University

 RF localization has gained prominence because of its potential for supporting various position based applications. Passive RF Localization based on Received Signal Strength Indicator (RSSI)… (more)

Subjects/Keywords: Localization; Particle Filter; RSSI; Extended Kalman Filter; Non-Liner Bayesian Estimation; Sequential Importance Sampling

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

APA (6th Edition):

Palvai, A. K. (2009). Passive RF Localization Based on RSSI Using Non-linear Bayesian Estimation . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/3407

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

Chicago Manual of Style (16th Edition):

Palvai, Anoop Kumar. “Passive RF Localization Based on RSSI Using Non-linear Bayesian Estimation .” 2009. Thesis, George Mason University. Accessed March 22, 2019. http://hdl.handle.net/1920/3407.

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

MLA Handbook (7th Edition):

Palvai, Anoop Kumar. “Passive RF Localization Based on RSSI Using Non-linear Bayesian Estimation .” 2009. Web. 22 Mar 2019.

Vancouver:

Palvai AK. Passive RF Localization Based on RSSI Using Non-linear Bayesian Estimation . [Internet] [Thesis]. George Mason University; 2009. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/1920/3407.

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

Council of Science Editors:

Palvai AK. Passive RF Localization Based on RSSI Using Non-linear Bayesian Estimation . [Thesis]. George Mason University; 2009. Available from: http://hdl.handle.net/1920/3407

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


University of Illinois – Urbana-Champaign

21. Wang, Ren. Hybrid state estimation applications for joint traffic monitoring and incident detection.

Degree: PhD, Civil Engineering, 2015, University of Illinois – Urbana-Champaign

 This dissertation is motivated by the practical problems of highway traffic estimation and incident detection using measurements from various sensor types. It proposes a framework… (more)

Subjects/Keywords: Traffic state estimation; Traffic incident detection; Particle filter; Kalman filter; Hybrid state estimation

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

APA (6th Edition):

Wang, R. (2015). Hybrid state estimation applications for joint traffic monitoring and incident detection. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88984

Chicago Manual of Style (16th Edition):

Wang, Ren. “Hybrid state estimation applications for joint traffic monitoring and incident detection.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 22, 2019. http://hdl.handle.net/2142/88984.

MLA Handbook (7th Edition):

Wang, Ren. “Hybrid state estimation applications for joint traffic monitoring and incident detection.” 2015. Web. 22 Mar 2019.

Vancouver:

Wang R. Hybrid state estimation applications for joint traffic monitoring and incident detection. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/2142/88984.

Council of Science Editors:

Wang R. Hybrid state estimation applications for joint traffic monitoring and incident detection. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88984


Brigham Young University

22. Huber, Braden Russell. Radio Determination on Mini-UAV Platforms: Tracking and Locating Radio Transmitters.

Degree: MS, 2009, Brigham Young University

  Aircraft in the US are equipped with Emergency Locator Transmitters (ELTs). In emergency situations these beacons are activated, providing a radio signal that can… (more)

Subjects/Keywords: radiolocation; radio direction finding; particle filter; unscented Kalman filter; state estimation; Computer Sciences

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

APA (6th Edition):

Huber, B. R. (2009). Radio Determination on Mini-UAV Platforms: Tracking and Locating Radio Transmitters. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2742&context=etd

Chicago Manual of Style (16th Edition):

Huber, Braden Russell. “Radio Determination on Mini-UAV Platforms: Tracking and Locating Radio Transmitters.” 2009. Masters Thesis, Brigham Young University. Accessed March 22, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2742&context=etd.

MLA Handbook (7th Edition):

Huber, Braden Russell. “Radio Determination on Mini-UAV Platforms: Tracking and Locating Radio Transmitters.” 2009. Web. 22 Mar 2019.

Vancouver:

Huber BR. Radio Determination on Mini-UAV Platforms: Tracking and Locating Radio Transmitters. [Internet] [Masters thesis]. Brigham Young University; 2009. [cited 2019 Mar 22]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2742&context=etd.

Council of Science Editors:

Huber BR. Radio Determination on Mini-UAV Platforms: Tracking and Locating Radio Transmitters. [Masters Thesis]. Brigham Young University; 2009. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2742&context=etd


Brigham Young University

23. Cannon, Brandon Jeffrey. Fault Detection for Unmanned Aerial Vehicles with Non-Redundant Sensors.

Degree: MS, 2014, Brigham Young University

 To operate, autonomous systems of necessity employ a variety of sensors to perceive their environment. Many small unmanned aerial vehicles (UAV) are unable to carry… (more)

Subjects/Keywords: fault-detection; Kalman filter; particle filter; non-redundant sensor; estimator; UAV; unmanned aircraft; Mechanical Engineering

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APA (6th Edition):

Cannon, B. J. (2014). Fault Detection for Unmanned Aerial Vehicles with Non-Redundant Sensors. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6307&context=etd

Chicago Manual of Style (16th Edition):

Cannon, Brandon Jeffrey. “Fault Detection for Unmanned Aerial Vehicles with Non-Redundant Sensors.” 2014. Masters Thesis, Brigham Young University. Accessed March 22, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6307&context=etd.

MLA Handbook (7th Edition):

Cannon, Brandon Jeffrey. “Fault Detection for Unmanned Aerial Vehicles with Non-Redundant Sensors.” 2014. Web. 22 Mar 2019.

Vancouver:

Cannon BJ. Fault Detection for Unmanned Aerial Vehicles with Non-Redundant Sensors. [Internet] [Masters thesis]. Brigham Young University; 2014. [cited 2019 Mar 22]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6307&context=etd.

Council of Science Editors:

Cannon BJ. Fault Detection for Unmanned Aerial Vehicles with Non-Redundant Sensors. [Masters Thesis]. Brigham Young University; 2014. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6307&context=etd

24. Champagne, Clara. Mathematical modeling and statistical inference to better understand arbovirus dynamics : Modélisation mathématique et inférence statistique pour une meilleure compréhension des dynamiques des arboviroses.

Degree: Docteur es, Mathématiques aux interfaces, 2018, Paris Saclay

L’importance et l’expansion des arboviroses comme la dengue ou le virus Zika nécessite des modèles pour mieux comprendre et prédire leurs dynamiques. La propagation vectorielle… (more)

Subjects/Keywords: Particle filter; Inférence bayésienne; Virus Zika; Dengue; Dengue fever; South-East asia; Particle filter; Bayesian inference; 579.2; 616.9; 00; 62; 92

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APA (6th Edition):

Champagne, C. (2018). Mathematical modeling and statistical inference to better understand arbovirus dynamics : Modélisation mathématique et inférence statistique pour une meilleure compréhension des dynamiques des arboviroses. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2018SACLG006

Chicago Manual of Style (16th Edition):

Champagne, Clara. “Mathematical modeling and statistical inference to better understand arbovirus dynamics : Modélisation mathématique et inférence statistique pour une meilleure compréhension des dynamiques des arboviroses.” 2018. Doctoral Dissertation, Paris Saclay. Accessed March 22, 2019. http://www.theses.fr/2018SACLG006.

MLA Handbook (7th Edition):

Champagne, Clara. “Mathematical modeling and statistical inference to better understand arbovirus dynamics : Modélisation mathématique et inférence statistique pour une meilleure compréhension des dynamiques des arboviroses.” 2018. Web. 22 Mar 2019.

Vancouver:

Champagne C. Mathematical modeling and statistical inference to better understand arbovirus dynamics : Modélisation mathématique et inférence statistique pour une meilleure compréhension des dynamiques des arboviroses. [Internet] [Doctoral dissertation]. Paris Saclay; 2018. [cited 2019 Mar 22]. Available from: http://www.theses.fr/2018SACLG006.

Council of Science Editors:

Champagne C. Mathematical modeling and statistical inference to better understand arbovirus dynamics : Modélisation mathématique et inférence statistique pour une meilleure compréhension des dynamiques des arboviroses. [Doctoral Dissertation]. Paris Saclay; 2018. Available from: http://www.theses.fr/2018SACLG006


University of Alberta

25. Shao, Xinguang. Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development.

Degree: PhD, Department of Chemical and Materials Engineering, 2012, University of Alberta

 For chemical engineering processes, state estimation plays a key role in various applications such as process monitoring, fault detection, process optimization and model based control.… (more)

Subjects/Keywords: Bayesian State Estimation; Particle Filter; Oil Sands Extraction; Soft Sensor

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APA (6th Edition):

Shao, X. (2012). Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/707957685

Chicago Manual of Style (16th Edition):

Shao, Xinguang. “Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development.” 2012. Doctoral Dissertation, University of Alberta. Accessed March 22, 2019. https://era.library.ualberta.ca/files/707957685.

MLA Handbook (7th Edition):

Shao, Xinguang. “Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development.” 2012. Web. 22 Mar 2019.

Vancouver:

Shao X. Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development. [Internet] [Doctoral dissertation]. University of Alberta; 2012. [cited 2019 Mar 22]. Available from: https://era.library.ualberta.ca/files/707957685.

Council of Science Editors:

Shao X. Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development. [Doctoral Dissertation]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/707957685


University of Alberta

26. Hladky, Stephen Michael. Predicting opponent locations in first-person shooter video games.

Degree: MS, Department of Computing Science, 2009, University of Alberta

 Commercial video game developers constantly strive to create intelligent humanoid characters that are controlled by computers. To ensure computer opponents are challenging to human players,… (more)

Subjects/Keywords: opponent modelling; particle filter; hidden semi-Markov model; believability; video games

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APA (6th Edition):

Hladky, S. M. (2009). Predicting opponent locations in first-person shooter video games. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/5x21tg037

Chicago Manual of Style (16th Edition):

Hladky, Stephen Michael. “Predicting opponent locations in first-person shooter video games.” 2009. Masters Thesis, University of Alberta. Accessed March 22, 2019. https://era.library.ualberta.ca/files/5x21tg037.

MLA Handbook (7th Edition):

Hladky, Stephen Michael. “Predicting opponent locations in first-person shooter video games.” 2009. Web. 22 Mar 2019.

Vancouver:

Hladky SM. Predicting opponent locations in first-person shooter video games. [Internet] [Masters thesis]. University of Alberta; 2009. [cited 2019 Mar 22]. Available from: https://era.library.ualberta.ca/files/5x21tg037.

Council of Science Editors:

Hladky SM. Predicting opponent locations in first-person shooter video games. [Masters Thesis]. University of Alberta; 2009. Available from: https://era.library.ualberta.ca/files/5x21tg037


Texas A&M University

27. Hu, Qiang. Robotic localization of hostile networked radio sources with a directional antenna.

Degree: 2007, Texas A&M University

 One of the distinguishing characteristics of hostile networked radio sources (e.g., enemy sensor network nodes), is that only physical layer information and limited medium access… (more)

Subjects/Keywords: Networked radio sources; particle filter

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APA (6th Edition):

Hu, Q. (2007). Robotic localization of hostile networked radio sources with a directional antenna. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4820

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

Chicago Manual of Style (16th Edition):

Hu, Qiang. “Robotic localization of hostile networked radio sources with a directional antenna.” 2007. Thesis, Texas A&M University. Accessed March 22, 2019. http://hdl.handle.net/1969.1/4820.

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

MLA Handbook (7th Edition):

Hu, Qiang. “Robotic localization of hostile networked radio sources with a directional antenna.” 2007. Web. 22 Mar 2019.

Vancouver:

Hu Q. Robotic localization of hostile networked radio sources with a directional antenna. [Internet] [Thesis]. Texas A&M University; 2007. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/1969.1/4820.

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

Council of Science Editors:

Hu Q. Robotic localization of hostile networked radio sources with a directional antenna. [Thesis]. Texas A&M University; 2007. Available from: http://hdl.handle.net/1969.1/4820

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


University of Kansas

28. Kacaribu, Febrio. Three Essays in Macroeconomics and Financial Economics.

Degree: PhD, Economics, 2014, University of Kansas

 This dissertation presents empirical analysis of linear and nonlinear models in macroeconomics and financial economics. It conveys the message about the substantial benefit in the… (more)

Subjects/Keywords: Economics; New keynesian phillips curve; Nonlinear dsge; Particle filter

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APA (6th Edition):

Kacaribu, F. (2014). Three Essays in Macroeconomics and Financial Economics. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/14575

Chicago Manual of Style (16th Edition):

Kacaribu, Febrio. “Three Essays in Macroeconomics and Financial Economics.” 2014. Doctoral Dissertation, University of Kansas. Accessed March 22, 2019. http://hdl.handle.net/1808/14575.

MLA Handbook (7th Edition):

Kacaribu, Febrio. “Three Essays in Macroeconomics and Financial Economics.” 2014. Web. 22 Mar 2019.

Vancouver:

Kacaribu F. Three Essays in Macroeconomics and Financial Economics. [Internet] [Doctoral dissertation]. University of Kansas; 2014. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/1808/14575.

Council of Science Editors:

Kacaribu F. Three Essays in Macroeconomics and Financial Economics. [Doctoral Dissertation]. University of Kansas; 2014. Available from: http://hdl.handle.net/1808/14575


University of Kansas

29. Huang, Shangwen. Essays on Measuring Monetary Policy Uncertainty and Forecasting Business Cycle.

Degree: PhD, Economics, 2016, University of Kansas

 Chapter 1 is a survey paper for economists new to the field of a Monte Carlo simulation based method: particle filter. Particle filter can be… (more)

Subjects/Keywords: Economics; Monetary policy; Particle filter; Stochastic volatility; Uncertainty

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APA (6th Edition):

Huang, S. (2016). Essays on Measuring Monetary Policy Uncertainty and Forecasting Business Cycle. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/21849

Chicago Manual of Style (16th Edition):

Huang, Shangwen. “Essays on Measuring Monetary Policy Uncertainty and Forecasting Business Cycle.” 2016. Doctoral Dissertation, University of Kansas. Accessed March 22, 2019. http://hdl.handle.net/1808/21849.

MLA Handbook (7th Edition):

Huang, Shangwen. “Essays on Measuring Monetary Policy Uncertainty and Forecasting Business Cycle.” 2016. Web. 22 Mar 2019.

Vancouver:

Huang S. Essays on Measuring Monetary Policy Uncertainty and Forecasting Business Cycle. [Internet] [Doctoral dissertation]. University of Kansas; 2016. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/1808/21849.

Council of Science Editors:

Huang S. Essays on Measuring Monetary Policy Uncertainty and Forecasting Business Cycle. [Doctoral Dissertation]. University of Kansas; 2016. Available from: http://hdl.handle.net/1808/21849


Universidade do Rio Grande do Sul

30. Maffei, Renan de Queiroz. Segmented DP-SLAM.

Degree: 2013, Universidade do Rio Grande do Sul

Simultaneous Localization and Mapping (SLAM) is one of the most difficult tasks in mobile robotics, since there is a mutual dependency between the estimation of… (more)

Subjects/Keywords: SLAM; Inteligência artificial; Robótica; Rao-blackWellized particle filter; Submap-based SLAM

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APA (6th Edition):

Maffei, R. d. Q. (2013). Segmented DP-SLAM. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/80521

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

Chicago Manual of Style (16th Edition):

Maffei, Renan de Queiroz. “Segmented DP-SLAM.” 2013. Thesis, Universidade do Rio Grande do Sul. Accessed March 22, 2019. http://hdl.handle.net/10183/80521.

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

MLA Handbook (7th Edition):

Maffei, Renan de Queiroz. “Segmented DP-SLAM.” 2013. Web. 22 Mar 2019.

Vancouver:

Maffei RdQ. Segmented DP-SLAM. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2013. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10183/80521.

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

Council of Science Editors:

Maffei RdQ. Segmented DP-SLAM. [Thesis]. Universidade do Rio Grande do Sul; 2013. Available from: http://hdl.handle.net/10183/80521

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

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