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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
URL: https://era.library.ualberta.ca/files/bz60cx09v
Subjects/Keywords: Central Limit Theorem; Particle Filter
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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 February 27, 2021. https://era.library.ualberta.ca/files/bz60cx09v.
MLA Handbook (7th Edition):
Ye, Zi. “A Discrete-time Particle Filter and Central Limit Theorem.” 2013. Web. 27 Feb 2021.
Vancouver:
Ye Z. A Discrete-time Particle Filter and Central Limit Theorem. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2021 Feb 27]. 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
2. Barac, Daniel. Localization algorithms for indoor UAVs.
Degree: UASTECH - Autonomous Unmanned Aircraft Systems Technologies, 2011, Linköping UniversityLinköping University
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72217
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 February 27, 2021. 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. 27 Feb 2021.
Vancouver:
Barac D. Localization algorithms for indoor UAVs. [Internet] [Thesis]. Linköping UniversityLinköping University; 2011. [cited 2021 Feb 27]. 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
California State University – Chico
3. Daley, Patrick. A REAL-TIME EFFICIENT PARTICLE FILTER ALGORITHM FOR REALISTIC TARGET TRACKING IN GAMES .
Degree: 2012, California State University – Chico
URL: http://hdl.handle.net/10211.4/424
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 February 27, 2021. 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. 27 Feb 2021.
Vancouver:
Daley P. A REAL-TIME EFFICIENT PARTICLE FILTER ALGORITHM FOR REALISTIC TARGET TRACKING IN GAMES . [Internet] [Thesis]. California State University – Chico; 2012. [cited 2021 Feb 27]. 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
Delft University of Technology
4. Chitchian, M.M. (author). Adapting Particle Filter Algorithms to the GPU Architecture.
Degree: 2011, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f
Subjects/Keywords: particle filter; bayesian estimation; CUDA; GPGPU; GPU; bayes filter; non-linear estimation; distributed particle filter; real-time estimation; parallel particle filter
Record Details
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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 (author). “Adapting Particle Filter Algorithms to the GPU Architecture.” 2011. Masters Thesis, Delft University of Technology. Accessed February 27, 2021. http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f.
MLA Handbook (7th Edition):
Chitchian, M M (author). “Adapting Particle Filter Algorithms to the GPU Architecture.” 2011. Web. 27 Feb 2021.
Vancouver:
Chitchian MM(. Adapting Particle Filter Algorithms to the GPU Architecture. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2021 Feb 27]. 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
NSYSU
5. Lin, Yu-Tsen. Improved Particle Filter for Target Tracking in Decentralized Data Fusion System.
Degree: Master, Electrical Engineering, 2009, NSYSU
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910
Subjects/Keywords: decentralized data fusion; target tracking; particle filter
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Lin, Y. (2009). Improved Particle Filter for Target Tracking in Decentralized Data Fusion System. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910
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):
Lin, Yu-Tsen. “Improved Particle Filter for Target Tracking in Decentralized Data Fusion System.” 2009. Thesis, NSYSU. Accessed February 27, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Lin, Yu-Tsen. “Improved Particle Filter for Target Tracking in Decentralized Data Fusion System.” 2009. Web. 27 Feb 2021.
Vancouver:
Lin Y. Improved Particle Filter for Target Tracking in Decentralized Data Fusion System. [Internet] [Thesis]. NSYSU; 2009. [cited 2021 Feb 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Lin Y. Improved Particle Filter for Target Tracking in Decentralized Data Fusion System. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Alberta
6. Wang, Xingpu. Web Based Particle Filters.
Degree: MS, Department of Mathematical and Statistical Sciences, 2015, University of Alberta
URL: https://era.library.ualberta.ca/files/c6969z0831
Subjects/Keywords: Branching; Resample; Bayes Inference; Particle Filter
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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 February 27, 2021. https://era.library.ualberta.ca/files/c6969z0831.
MLA Handbook (7th Edition):
Wang, Xingpu. “Web Based Particle Filters.” 2015. Web. 27 Feb 2021.
Vancouver:
Wang X. Web Based Particle Filters. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2021 Feb 27]. 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
7. Deng,Jing. Modeling and Development of Soft Sensors with Particle Filtering Approach.
Degree: MS, Department of Chemical and Materials Engineering, 2012, University of Alberta
URL: https://era.library.ualberta.ca/files/k643b130g
Subjects/Keywords: EM algorithm; Particle Filter; Soft Sensor
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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 February 27, 2021. 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. 27 Feb 2021.
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 2021 Feb 27]. 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
8. Noor, Amina. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.
Degree: MS, Electrical Engineering, 2012, Texas A&M University
URL: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860
Subjects/Keywords: gene network modeling; particle filter; lasso
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Noor, A. (2012). Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860
Chicago Manual of Style (16th Edition):
Noor, Amina. “Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.” 2012. Masters Thesis, Texas A&M University. Accessed February 27, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860.
MLA Handbook (7th Edition):
Noor, Amina. “Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.” 2012. Web. 27 Feb 2021.
Vancouver:
Noor A. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860.
Council of Science Editors:
Noor A. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860
Penn State University
9. Mattes, Richard J. Vehicle Localization With A Downward Facing LIDAR.
Degree: 2015, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/26471
Subjects/Keywords: localization; particle filter; autonomous vehicles; simulation; LIDAR
Record Details
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APA (6th Edition):
Mattes, R. J. (2015). Vehicle Localization With A Downward Facing LIDAR. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26471
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):
Mattes, Richard J. “Vehicle Localization With A Downward Facing LIDAR.” 2015. Thesis, Penn State University. Accessed February 27, 2021. https://submit-etda.libraries.psu.edu/catalog/26471.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Mattes, Richard J. “Vehicle Localization With A Downward Facing LIDAR.” 2015. Web. 27 Feb 2021.
Vancouver:
Mattes RJ. Vehicle Localization With A Downward Facing LIDAR. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Feb 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/26471.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Mattes RJ. Vehicle Localization With A Downward Facing LIDAR. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26471
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
10. Giannopoulos, Makis (author). Hierarchical Mapping: A Rao-Blackwellized Particle Filter based hierarchical SLAM framework.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:2d3532a6-fda2-44ea-b743-b643ad7d122c
Subjects/Keywords: SLAM; mapping; hierarchical mapping; Particle Filter
Record Details
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APA (6th Edition):
Giannopoulos, M. (. (2017). Hierarchical Mapping: A Rao-Blackwellized Particle Filter based hierarchical SLAM framework. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:2d3532a6-fda2-44ea-b743-b643ad7d122c
Chicago Manual of Style (16th Edition):
Giannopoulos, Makis (author). “Hierarchical Mapping: A Rao-Blackwellized Particle Filter based hierarchical SLAM framework.” 2017. Masters Thesis, Delft University of Technology. Accessed February 27, 2021. http://resolver.tudelft.nl/uuid:2d3532a6-fda2-44ea-b743-b643ad7d122c.
MLA Handbook (7th Edition):
Giannopoulos, Makis (author). “Hierarchical Mapping: A Rao-Blackwellized Particle Filter based hierarchical SLAM framework.” 2017. Web. 27 Feb 2021.
Vancouver:
Giannopoulos M(. Hierarchical Mapping: A Rao-Blackwellized Particle Filter based hierarchical SLAM framework. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Feb 27]. Available from: http://resolver.tudelft.nl/uuid:2d3532a6-fda2-44ea-b743-b643ad7d122c.
Council of Science Editors:
Giannopoulos M(. Hierarchical Mapping: A Rao-Blackwellized Particle Filter based hierarchical SLAM framework. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:2d3532a6-fda2-44ea-b743-b643ad7d122c
Delft University of Technology
11. van Groeningen, Tom (author). Human presence detection using a particle filter on ultrasonic micro-Doppler measurements for assisting rescue work in large buildings.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:467ea25a-e5f3-47e6-857b-3e0510ff52de
Subjects/Keywords: micro doppler; particle filter; Gaussian approximation
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
van Groeningen, T. (. (2018). Human presence detection using a particle filter on ultrasonic micro-Doppler measurements for assisting rescue work in large buildings. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:467ea25a-e5f3-47e6-857b-3e0510ff52de
Chicago Manual of Style (16th Edition):
van Groeningen, Tom (author). “Human presence detection using a particle filter on ultrasonic micro-Doppler measurements for assisting rescue work in large buildings.” 2018. Masters Thesis, Delft University of Technology. Accessed February 27, 2021. http://resolver.tudelft.nl/uuid:467ea25a-e5f3-47e6-857b-3e0510ff52de.
MLA Handbook (7th Edition):
van Groeningen, Tom (author). “Human presence detection using a particle filter on ultrasonic micro-Doppler measurements for assisting rescue work in large buildings.” 2018. Web. 27 Feb 2021.
Vancouver:
van Groeningen T(. Human presence detection using a particle filter on ultrasonic micro-Doppler measurements for assisting rescue work in large buildings. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Feb 27]. Available from: http://resolver.tudelft.nl/uuid:467ea25a-e5f3-47e6-857b-3e0510ff52de.
Council of Science Editors:
van Groeningen T(. Human presence detection using a particle filter on ultrasonic micro-Doppler measurements for assisting rescue work in large buildings. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:467ea25a-e5f3-47e6-857b-3e0510ff52de
Delft University of Technology
12. Beers, Karlijn (author). Data assimilation, Geomechanical parameter estimation in the Groningen hydrocarbon reservoir from PS-InSAR measurements with a particle filter.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:6db5ad75-8b34-4fce-a570-070c7b6bf6b3
Subjects/Keywords: Data assimilation; Particle Filter; InSAR; Groningen
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Beers, K. (. (2018). Data assimilation, Geomechanical parameter estimation in the Groningen hydrocarbon reservoir from PS-InSAR measurements with a particle filter. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6db5ad75-8b34-4fce-a570-070c7b6bf6b3
Chicago Manual of Style (16th Edition):
Beers, Karlijn (author). “Data assimilation, Geomechanical parameter estimation in the Groningen hydrocarbon reservoir from PS-InSAR measurements with a particle filter.” 2018. Masters Thesis, Delft University of Technology. Accessed February 27, 2021. http://resolver.tudelft.nl/uuid:6db5ad75-8b34-4fce-a570-070c7b6bf6b3.
MLA Handbook (7th Edition):
Beers, Karlijn (author). “Data assimilation, Geomechanical parameter estimation in the Groningen hydrocarbon reservoir from PS-InSAR measurements with a particle filter.” 2018. Web. 27 Feb 2021.
Vancouver:
Beers K(. Data assimilation, Geomechanical parameter estimation in the Groningen hydrocarbon reservoir from PS-InSAR measurements with a particle filter. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Feb 27]. Available from: http://resolver.tudelft.nl/uuid:6db5ad75-8b34-4fce-a570-070c7b6bf6b3.
Council of Science Editors:
Beers K(. Data assimilation, Geomechanical parameter estimation in the Groningen hydrocarbon reservoir from PS-InSAR measurements with a particle filter. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:6db5ad75-8b34-4fce-a570-070c7b6bf6b3
University of Illinois – Urbana-Champaign
13. Aranguiz, Dario. Low-cost time-of-flight-based localization techniques for robotic applications.
Degree: MS, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/99528
Subjects/Keywords: Robotics; Localization; Particle filter; Time of flight
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Aranguiz, D. (2017). Low-cost time-of-flight-based localization techniques for robotic applications. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99528
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):
Aranguiz, Dario. “Low-cost time-of-flight-based localization techniques for robotic applications.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed February 27, 2021. http://hdl.handle.net/2142/99528.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Aranguiz, Dario. “Low-cost time-of-flight-based localization techniques for robotic applications.” 2017. Web. 27 Feb 2021.
Vancouver:
Aranguiz D. Low-cost time-of-flight-based localization techniques for robotic applications. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2142/99528.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Aranguiz D. Low-cost time-of-flight-based localization techniques for robotic applications. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99528
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Georgia Tech
14. Leonard, Andrew. Vehicle tracking using ultra-wideband radar.
Degree: MS, Mechanical Engineering, 2016, Georgia Tech
URL: http://hdl.handle.net/1853/56265
Subjects/Keywords: Vehicle tracking; Ultra-wideband; Radar; Particle filter
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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 February 27, 2021. http://hdl.handle.net/1853/56265.
MLA Handbook (7th Edition):
Leonard, Andrew. “Vehicle tracking using ultra-wideband radar.” 2016. Web. 27 Feb 2021.
Vancouver:
Leonard A. Vehicle tracking using ultra-wideband radar. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2021 Feb 27]. 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
15. Gao, Hongzhi. Real Time Human Tracking in Unconstrained Environments.
Degree: PhD, Computer Science, 2011, University of Canterbury
URL: http://dx.doi.org/10.26021/1741
Subjects/Keywords: computer vision; real-time tracking; particle filter
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Gao, H. (2011). Real Time Human Tracking in Unconstrained Environments. (Doctoral Dissertation). University of Canterbury. Retrieved from http://dx.doi.org/10.26021/1741
Chicago Manual of Style (16th Edition):
Gao, Hongzhi. “Real Time Human Tracking in Unconstrained Environments.” 2011. Doctoral Dissertation, University of Canterbury. Accessed February 27, 2021. http://dx.doi.org/10.26021/1741.
MLA Handbook (7th Edition):
Gao, Hongzhi. “Real Time Human Tracking in Unconstrained Environments.” 2011. Web. 27 Feb 2021.
Vancouver:
Gao H. Real Time Human Tracking in Unconstrained Environments. [Internet] [Doctoral dissertation]. University of Canterbury; 2011. [cited 2021 Feb 27]. Available from: http://dx.doi.org/10.26021/1741.
Council of Science Editors:
Gao H. Real Time Human Tracking in Unconstrained Environments. [Doctoral Dissertation]. University of Canterbury; 2011. Available from: http://dx.doi.org/10.26021/1741
Vanderbilt University
16. Patki, Akash. Particle Filter based SLAM to map random environments using “iRobot Roomba”.
Degree: MS, Computer Science, 2011, Vanderbilt University
URL: http://hdl.handle.net/1803/15177
Subjects/Keywords: Particle Filter; Monte Carlo; Mapping; SLAM; Localization
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Patki, A. (2011). Particle Filter based SLAM to map random environments using “iRobot Roomba”. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/15177
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):
Patki, Akash. “Particle Filter based SLAM to map random environments using “iRobot Roomba”.” 2011. Thesis, Vanderbilt University. Accessed February 27, 2021. http://hdl.handle.net/1803/15177.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Patki, Akash. “Particle Filter based SLAM to map random environments using “iRobot Roomba”.” 2011. Web. 27 Feb 2021.
Vancouver:
Patki A. Particle Filter based SLAM to map random environments using “iRobot Roomba”. [Internet] [Thesis]. Vanderbilt University; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1803/15177.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Patki A. Particle Filter based SLAM to map random environments using “iRobot Roomba”. [Thesis]. Vanderbilt University; 2011. Available from: http://hdl.handle.net/1803/15177
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Texas – Austin
17. Shen, Xiaohu, active 21st century. Bayesian inference methods for next generation DNA sequencing.
Degree: PhD, Electrical and Computer Engineering, 2014, University of Texas – Austin
URL: http://hdl.handle.net/2152/26176
Subjects/Keywords: DNA sequencing; Particle filter; Message passing
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APA (6th Edition):
Shen, Xiaohu, a. 2. c. (2014). Bayesian inference methods for next generation DNA sequencing. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26176
Chicago Manual of Style (16th Edition):
Shen, Xiaohu, active 21st century. “Bayesian inference methods for next generation DNA sequencing.” 2014. Doctoral Dissertation, University of Texas – Austin. Accessed February 27, 2021. http://hdl.handle.net/2152/26176.
MLA Handbook (7th Edition):
Shen, Xiaohu, active 21st century. “Bayesian inference methods for next generation DNA sequencing.” 2014. Web. 27 Feb 2021.
Vancouver:
Shen, Xiaohu a2c. Bayesian inference methods for next generation DNA sequencing. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2014. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2152/26176.
Council of Science Editors:
Shen, Xiaohu a2c. Bayesian inference methods for next generation DNA sequencing. [Doctoral Dissertation]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/26176
University of New South Wales
18.
Chen, Yu.
Facial Segmentation Using Boosted Dynamic Mixture Active Shape Model.
Degree: Computer Science & Engineering, 2015, University of New South Wales
URL: http://handle.unsw.edu.au/1959.4/54529
;
https://unsworks.unsw.edu.au/fapi/datastream/unsworks:35191/SOURCE02?view=true
Subjects/Keywords: Particle Filter; Active Shape Model; Machine Learning
Record Details
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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 February 27, 2021. 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. 27 Feb 2021.
Vancouver:
Chen Y. Facial Segmentation Using Boosted Dynamic Mixture Active Shape Model. [Internet] [Masters thesis]. University of New South Wales; 2015. [cited 2021 Feb 27]. 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
19. Särkkä, Simo. Recursive Bayesian Inference on Stochastic Differential Equations.
Degree: 2006, Helsinki University of Technology
URL: http://lib.tkk.fi/Diss/2006/isbn9512281279/
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 February 27, 2021. 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. 27 Feb 2021.
Vancouver:
Särkkä S. Recursive Bayesian Inference on Stochastic Differential Equations. [Internet] [Thesis]. Helsinki University of Technology; 2006. [cited 2021 Feb 27]. 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
20. Shenoy, Arjun Vsiwanath. Unconstrained nonlinear state estimation for chemical processes.
Degree: MS, Department of Chemical and Materials Engineering, 2010, University of Alberta
URL: https://era.library.ualberta.ca/files/n009w369x
Subjects/Keywords: Kalman filter; Particle filter; Estimation theory; polymer reactors
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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 February 27, 2021. https://era.library.ualberta.ca/files/n009w369x.
MLA Handbook (7th Edition):
Shenoy, Arjun Vsiwanath. “Unconstrained nonlinear state estimation for chemical processes.” 2010. Web. 27 Feb 2021.
Vancouver:
Shenoy AV. Unconstrained nonlinear state estimation for chemical processes. [Internet] [Masters thesis]. University of Alberta; 2010. [cited 2021 Feb 27]. 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
Georgia Tech
21. Nakamura, Takuma. Multiple-hypothesis vision-based landing autonomy.
Degree: PhD, Aerospace Engineering, 2018, Georgia Tech
URL: http://hdl.handle.net/1853/62195
Subjects/Keywords: Sensor fusion; Kalman filter; Particle filter; SLAM; Computer vision
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APA (6th Edition):
Nakamura, T. (2018). Multiple-hypothesis vision-based landing autonomy. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62195
Chicago Manual of Style (16th Edition):
Nakamura, Takuma. “Multiple-hypothesis vision-based landing autonomy.” 2018. Doctoral Dissertation, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/62195.
MLA Handbook (7th Edition):
Nakamura, Takuma. “Multiple-hypothesis vision-based landing autonomy.” 2018. Web. 27 Feb 2021.
Vancouver:
Nakamura T. Multiple-hypothesis vision-based landing autonomy. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/62195.
Council of Science Editors:
Nakamura T. Multiple-hypothesis vision-based landing autonomy. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/62195
Penn State University
22. Chen, Meng. Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter.
Degree: 2019, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/17297mxc681
Subjects/Keywords: state space model; Kalman filter; particle filter; dual estimation
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Chen, M. (2019). Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17297mxc681
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):
Chen, Meng. “Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter.” 2019. Thesis, Penn State University. Accessed February 27, 2021. https://submit-etda.libraries.psu.edu/catalog/17297mxc681.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Chen, Meng. “Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter.” 2019. Web. 27 Feb 2021.
Vancouver:
Chen M. Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Feb 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/17297mxc681.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Chen M. Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/17297mxc681
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
McMaster University
23. Leach, James. ADVANCING SEQUENTIAL DATA ASSIMILATION METHODS FOR ENHANCED HYDROLOGIC FORECASTING IN SEMI-URBAN WATERSHEDS.
Degree: PhD, 2019, McMaster University
URL: http://hdl.handle.net/11375/25083
Subjects/Keywords: Data Assimilation; Ensemble Forecasting; Ensemble Kalman FIlter; Particle Filter; Streamflow
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APA (6th Edition):
Leach, J. (2019). ADVANCING SEQUENTIAL DATA ASSIMILATION METHODS FOR ENHANCED HYDROLOGIC FORECASTING IN SEMI-URBAN WATERSHEDS. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/25083
Chicago Manual of Style (16th Edition):
Leach, James. “ADVANCING SEQUENTIAL DATA ASSIMILATION METHODS FOR ENHANCED HYDROLOGIC FORECASTING IN SEMI-URBAN WATERSHEDS.” 2019. Doctoral Dissertation, McMaster University. Accessed February 27, 2021. http://hdl.handle.net/11375/25083.
MLA Handbook (7th Edition):
Leach, James. “ADVANCING SEQUENTIAL DATA ASSIMILATION METHODS FOR ENHANCED HYDROLOGIC FORECASTING IN SEMI-URBAN WATERSHEDS.” 2019. Web. 27 Feb 2021.
Vancouver:
Leach J. ADVANCING SEQUENTIAL DATA ASSIMILATION METHODS FOR ENHANCED HYDROLOGIC FORECASTING IN SEMI-URBAN WATERSHEDS. [Internet] [Doctoral dissertation]. McMaster University; 2019. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/11375/25083.
Council of Science Editors:
Leach J. ADVANCING SEQUENTIAL DATA ASSIMILATION METHODS FOR ENHANCED HYDROLOGIC FORECASTING IN SEMI-URBAN WATERSHEDS. [Doctoral Dissertation]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/25083
Virginia Commonwealth University
24. Conte, Armond S, II. Censoring and Fusion in Non-linear Distributed Tracking Systems with Application to 2D Radar.
Degree: MS, Engineering, 2015, Virginia Commonwealth University
URL: https://doi.org/10.25772/1BF9-H342
;
https://scholarscompass.vcu.edu/etd/4068
Subjects/Keywords: radar; fusion; censoring; tracking; particle filter; kalman filter; Signal Processing
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (6th Edition):
Conte, Armond S, I. (2015). Censoring and Fusion in Non-linear Distributed Tracking Systems with Application to 2D Radar. (Thesis). Virginia Commonwealth University. Retrieved from https://doi.org/10.25772/1BF9-H342 ; https://scholarscompass.vcu.edu/etd/4068
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):
Conte, Armond S, II. “Censoring and Fusion in Non-linear Distributed Tracking Systems with Application to 2D Radar.” 2015. Thesis, Virginia Commonwealth University. Accessed February 27, 2021. https://doi.org/10.25772/1BF9-H342 ; https://scholarscompass.vcu.edu/etd/4068.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Conte, Armond S, II. “Censoring and Fusion in Non-linear Distributed Tracking Systems with Application to 2D Radar.” 2015. Web. 27 Feb 2021.
Vancouver:
Conte, Armond S I. Censoring and Fusion in Non-linear Distributed Tracking Systems with Application to 2D Radar. [Internet] [Thesis]. Virginia Commonwealth University; 2015. [cited 2021 Feb 27]. Available from: https://doi.org/10.25772/1BF9-H342 ; https://scholarscompass.vcu.edu/etd/4068.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Conte, Armond S I. Censoring and Fusion in Non-linear Distributed Tracking Systems with Application to 2D Radar. [Thesis]. Virginia Commonwealth University; 2015. Available from: https://doi.org/10.25772/1BF9-H342 ; https://scholarscompass.vcu.edu/etd/4068
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Illinois – Urbana-Champaign
25. 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
Subjects/Keywords: Extended Kalman filter; Feedback particle filter; Comparison; Nonlinear filtering
Record Details
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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 February 27, 2021. 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. 27 Feb 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 Feb 27]. 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 Tennessee – Knoxville
26. Collins, John Parnell. Comparison of Methods for Estimating Stochastic Volatility.
Degree: MS, Mathematics, 2013, University of Tennessee – Knoxville
URL: https://trace.tennessee.edu/utk_gradthes/2403
Subjects/Keywords: Particle Filter; Gibbs Sampling; Kalman Filter; Other Applied Mathematics
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APA (6th Edition):
Collins, J. P. (2013). Comparison of Methods for Estimating Stochastic Volatility. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/2403
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):
Collins, John Parnell. “Comparison of Methods for Estimating Stochastic Volatility.” 2013. Thesis, University of Tennessee – Knoxville. Accessed February 27, 2021. https://trace.tennessee.edu/utk_gradthes/2403.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Collins, John Parnell. “Comparison of Methods for Estimating Stochastic Volatility.” 2013. Web. 27 Feb 2021.
Vancouver:
Collins JP. Comparison of Methods for Estimating Stochastic Volatility. [Internet] [Thesis]. University of Tennessee – Knoxville; 2013. [cited 2021 Feb 27]. Available from: https://trace.tennessee.edu/utk_gradthes/2403.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Collins JP. Comparison of Methods for Estimating Stochastic Volatility. [Thesis]. University of Tennessee – Knoxville; 2013. Available from: https://trace.tennessee.edu/utk_gradthes/2403
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
27. Tapiero Bernal, Juan Esteban. Bayesian Estimation For Tracking Of Spiraling Reentry Vehicles.
Degree: 2013, Marquette University
URL: https://epublications.marquette.edu/theses_open/203
Subjects/Keywords: Estimation; Extended Kalman filter; Modeling; Particle filter; Reentry; Tracking
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APA (6th Edition):
Tapiero Bernal, J. E. (2013). Bayesian Estimation For Tracking Of Spiraling Reentry Vehicles. (Thesis). Marquette University. Retrieved from https://epublications.marquette.edu/theses_open/203
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):
Tapiero Bernal, Juan Esteban. “Bayesian Estimation For Tracking Of Spiraling Reentry Vehicles.” 2013. Thesis, Marquette University. Accessed February 27, 2021. https://epublications.marquette.edu/theses_open/203.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Tapiero Bernal, Juan Esteban. “Bayesian Estimation For Tracking Of Spiraling Reentry Vehicles.” 2013. Web. 27 Feb 2021.
Vancouver:
Tapiero Bernal JE. Bayesian Estimation For Tracking Of Spiraling Reentry Vehicles. [Internet] [Thesis]. Marquette University; 2013. [cited 2021 Feb 27]. Available from: https://epublications.marquette.edu/theses_open/203.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Tapiero Bernal JE. Bayesian Estimation For Tracking Of Spiraling Reentry Vehicles. [Thesis]. Marquette University; 2013. Available from: https://epublications.marquette.edu/theses_open/203
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of California – Berkeley
28. Lei, Jing. Non-linear Filtering for State Space Models - High-Dimensional Applications and Theoretical Results.
Degree: Statistics, 2010, University of California – Berkeley
URL: http://www.escholarship.org/uc/item/3tm9052d
Subjects/Keywords: Statistics; chaotic dynamical systems; high dimension data; Kalman filter; particle filter; robustness; state space models
Record Details
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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 February 27, 2021. 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. 27 Feb 2021.
Vancouver:
Lei J. Non-linear Filtering for State Space Models - High-Dimensional Applications and Theoretical Results. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2021 Feb 27]. 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
Brigham Young University
29. Cannon, Brandon Jeffrey. Fault Detection for Unmanned Aerial Vehicles with Non-Redundant Sensors.
Degree: MS, 2014, Brigham Young University
URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6307&context=etd
Subjects/Keywords: fault-detection; Kalman filter; particle filter; non-redundant sensor; estimator; UAV; unmanned aircraft; Mechanical Engineering
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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 February 27, 2021. 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. 27 Feb 2021.
Vancouver:
Cannon BJ. Fault Detection for Unmanned Aerial Vehicles with Non-Redundant Sensors. [Internet] [Masters thesis]. Brigham Young University; 2014. [cited 2021 Feb 27]. 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
University of Illinois – Urbana-Champaign
30. Wang, Ren. Hybrid state estimation applications for joint traffic monitoring and incident detection.
Degree: PhD, Civil Engineering, 2015, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/88984
Subjects/Keywords: Traffic state estimation; Traffic incident detection; Particle filter; Kalman filter; Hybrid state estimation
Record Details
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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 February 27, 2021. 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. 27 Feb 2021.
Vancouver:
Wang R. Hybrid state estimation applications for joint traffic monitoring and incident detection. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 Feb 27]. 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