Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

Dates: 2010 – 2014

You searched for subject:( Particle Filter). Showing records 1 – 30 of 146 total matches.

[1] [2] [3] [4] [5]

Search Limiters

Last 2 Years | English Only

Degrees

Levels

Languages

Country

▼ Search Limiters


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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 23, 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. 23 Mar 2019.

Vancouver:

Ye Z. A Discrete-time Particle Filter and Central Limit Theorem. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2019 Mar 23]. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 23, 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. 23 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 23]. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 23, 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. 23 Mar 2019.

Vancouver:

Barac D. Localization algorithms for indoor UAVs. [Internet] [Thesis]. Linköping UniversityLinköping University; 2011. [cited 2019 Mar 23]. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 23, 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. 23 Mar 2019.

Vancouver:

Chitchian MM. Adapting Particle Filter Algorithms to the GPU Architecture:. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2019 Mar 23]. 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. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 23, 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. 23 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 23]. 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

6. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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. (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 23, 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. 23 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 23]. 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


University of Edinburgh

7. Zhong, Xionghu. Bayesian framework for multiple acoustic source tracking.

Degree: 2010, University of Edinburgh

 Acoustic source (speaker) tracking in the room environment plays an important role in many speech and audio applications such as multimedia, hearing aids and hands-free… (more)

Subjects/Keywords: 621.382; Bayesian filter; particle filtering; tracking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhong, X. (2010). Bayesian framework for multiple acoustic source tracking. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4752

Chicago Manual of Style (16th Edition):

Zhong, Xionghu. “Bayesian framework for multiple acoustic source tracking.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed March 23, 2019. http://hdl.handle.net/1842/4752.

MLA Handbook (7th Edition):

Zhong, Xionghu. “Bayesian framework for multiple acoustic source tracking.” 2010. Web. 23 Mar 2019.

Vancouver:

Zhong X. Bayesian framework for multiple acoustic source tracking. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/1842/4752.

Council of Science Editors:

Zhong X. Bayesian framework for multiple acoustic source tracking. [Doctoral Dissertation]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/4752


University of Canterbury

8. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 23, 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. 23 Mar 2019.

Vancouver:

Gao H. Real Time Human Tracking in Unconstrained Environments. [Internet] [Thesis]. University of Canterbury; 2011. [cited 2019 Mar 23]. 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

9. 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… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 23, 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. 23 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 23]. 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

10. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 23, 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. 23 Mar 2019.

Vancouver:

Emilsson A. Indoor Navigation Using an iPhone. [Internet] [Thesis]. Linköping University; 2010. [cited 2019 Mar 23]. 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 Texas – Austin

11. Shen, Xiaohu, active 21st century. Bayesian inference methods for next generation DNA sequencing.

Degree: Electrical and Computer Engineering, 2014, University of Texas – Austin

 Recently developed next-generation sequencing systems are capable of rapid and cost-effective DNA sequencing, thus enabling routine sequencing tasks and taking us one step closer to… (more)

Subjects/Keywords: DNA sequencing; Particle filter; Message passing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shen, Xiaohu, a. 2. c. (2014). Bayesian inference methods for next generation DNA sequencing. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26176

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):

Shen, Xiaohu, active 21st century. “Bayesian inference methods for next generation DNA sequencing.” 2014. Thesis, University of Texas – Austin. Accessed March 23, 2019. http://hdl.handle.net/2152/26176.

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

MLA Handbook (7th Edition):

Shen, Xiaohu, active 21st century. “Bayesian inference methods for next generation DNA sequencing.” 2014. Web. 23 Mar 2019.

Vancouver:

Shen, Xiaohu a2c. Bayesian inference methods for next generation DNA sequencing. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/2152/26176.

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

Council of Science Editors:

Shen, Xiaohu a2c. Bayesian inference methods for next generation DNA sequencing. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/26176

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


University of Alberta

12. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 23, 2019. https://era.library.ualberta.ca/files/n009w369x.

MLA Handbook (7th Edition):

Shenoy, Arjun Vsiwanath. “Unconstrained nonlinear state estimation for chemical processes.” 2010. Web. 23 Mar 2019.

Vancouver:

Shenoy AV. Unconstrained nonlinear state estimation for chemical processes. [Internet] [Masters thesis]. University of Alberta; 2010. [cited 2019 Mar 23]. 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

13. Tapiero Bernal, Juan Esteban. Bayesian Estimation For Tracking Of Spiraling Reentry Vehicles.

Degree: 2013, Marquette University

 This thesis presents a development of a physics-based dynamics model of a spiraling atmospheric reentry vehicle. An analysis of the trajectory characteristics, using elements from… (more)

Subjects/Keywords: Estimation; Extended Kalman filter; Modeling; Particle filter; Reentry; Tracking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 March 23, 2019. 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. 23 Mar 2019.

Vancouver:

Tapiero Bernal JE. Bayesian Estimation For Tracking Of Spiraling Reentry Vehicles. [Internet] [Thesis]. Marquette University; 2013. [cited 2019 Mar 23]. 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 Tennessee – Knoxville

14. Collins, John Parnell. Comparison of Methods for Estimating Stochastic Volatility.

Degree: MS, Mathematics, 2013, University of Tennessee – Knoxville

  Understanding the ever changing stock market has long been of interest to both academic and financial institutions. The early attempts to model the dynamics… (more)

Subjects/Keywords: Particle Filter; Gibbs Sampling; Kalman Filter; Other Applied Mathematics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 March 23, 2019. 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. 23 Mar 2019.

Vancouver:

Collins JP. Comparison of Methods for Estimating Stochastic Volatility. [Internet] [Thesis]. University of Tennessee – Knoxville; 2013. [cited 2019 Mar 23]. 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


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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 23, 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. 23 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 23]. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 23, 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. 23 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 23]. 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. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 23, 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. 23 Mar 2019.

Vancouver:

Won P. Intelligent Fastening Tool Tracking Systems Using Hybrid Remote Sensing Technologies. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2019 Mar 23]. 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


Brigham Young University

18. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 23, 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. 23 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 23]. 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 New Orleans

19. Wu, Jiande. Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications.

Degree: PhD, Electrical Engineering, 2014, University of New Orleans

Particle filtering has been a very popular method to solve nonlinear/non-Gaussian state estimation problems for more than twenty years. Particle filters (PFs) have found… (more)

Subjects/Keywords: nonlinear filtering, particle filter, particle flow filter, parallel and distributed computing, GPU, computer cluster, FPGA, target tracking; Electrical and Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wu, J. (2014). Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications. (Doctoral Dissertation). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/1953

Chicago Manual of Style (16th Edition):

Wu, Jiande. “Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications.” 2014. Doctoral Dissertation, University of New Orleans. Accessed March 23, 2019. https://scholarworks.uno.edu/td/1953.

MLA Handbook (7th Edition):

Wu, Jiande. “Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications.” 2014. Web. 23 Mar 2019.

Vancouver:

Wu J. Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications. [Internet] [Doctoral dissertation]. University of New Orleans; 2014. [cited 2019 Mar 23]. Available from: https://scholarworks.uno.edu/td/1953.

Council of Science Editors:

Wu J. Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications. [Doctoral Dissertation]. University of New Orleans; 2014. Available from: https://scholarworks.uno.edu/td/1953


University of Plymouth

20. Al-Saadony, Muhannad. Bayesian stochastic differential equation modelling with application to finance.

Degree: PhD, 2013, University of Plymouth

 In this thesis, we consider some popular stochastic differential equation models used in finance, such as the Vasicek Interest Rate model, the Heston model and… (more)

Subjects/Keywords: 519.2; Fractional Stochastic Differential Equation, Bayesian inference, Markov chain Monte Carlo, Sequential Monte carlo Methods, Particle Filter, Auxiliary Particle Filter.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Al-Saadony, M. (2013). Bayesian stochastic differential equation modelling with application to finance. (Doctoral Dissertation). University of Plymouth. Retrieved from http://hdl.handle.net/10026.1/1530

Chicago Manual of Style (16th Edition):

Al-Saadony, Muhannad. “Bayesian stochastic differential equation modelling with application to finance.” 2013. Doctoral Dissertation, University of Plymouth. Accessed March 23, 2019. http://hdl.handle.net/10026.1/1530.

MLA Handbook (7th Edition):

Al-Saadony, Muhannad. “Bayesian stochastic differential equation modelling with application to finance.” 2013. Web. 23 Mar 2019.

Vancouver:

Al-Saadony M. Bayesian stochastic differential equation modelling with application to finance. [Internet] [Doctoral dissertation]. University of Plymouth; 2013. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/10026.1/1530.

Council of Science Editors:

Al-Saadony M. Bayesian stochastic differential equation modelling with application to finance. [Doctoral Dissertation]. University of Plymouth; 2013. Available from: http://hdl.handle.net/10026.1/1530


University of South Carolina

21. Walker, Eric Alan. Comparison of a Particle Filter and Other State Estimation Methods for Prognostics of Lithium-Ion Batteries.

Degree: MS, Chemical Engineering, 2013, University of South Carolina

  A particle filter (PF) is shown to be more accurate than non-linear least squares (NLLS) and an unscented Kalman filter (UKF) for predicting the… (more)

Subjects/Keywords: Chemical Engineering; Engineering; Equivalent circuit model; Lithium-ion battery; Particle filter; Remaining useful life; Single particle model; Unscented Kalman filter

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Walker, E. A. (2013). Comparison of a Particle Filter and Other State Estimation Methods for Prognostics of Lithium-Ion Batteries. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/2565

Chicago Manual of Style (16th Edition):

Walker, Eric Alan. “Comparison of a Particle Filter and Other State Estimation Methods for Prognostics of Lithium-Ion Batteries.” 2013. Masters Thesis, University of South Carolina. Accessed March 23, 2019. https://scholarcommons.sc.edu/etd/2565.

MLA Handbook (7th Edition):

Walker, Eric Alan. “Comparison of a Particle Filter and Other State Estimation Methods for Prognostics of Lithium-Ion Batteries.” 2013. Web. 23 Mar 2019.

Vancouver:

Walker EA. Comparison of a Particle Filter and Other State Estimation Methods for Prognostics of Lithium-Ion Batteries. [Internet] [Masters thesis]. University of South Carolina; 2013. [cited 2019 Mar 23]. Available from: https://scholarcommons.sc.edu/etd/2565.

Council of Science Editors:

Walker EA. Comparison of a Particle Filter and Other State Estimation Methods for Prognostics of Lithium-Ion Batteries. [Masters Thesis]. University of South Carolina; 2013. Available from: https://scholarcommons.sc.edu/etd/2565


Queensland University of Technology

22. Tran, Ngoc Quang. Optimisation of indoor environmental quality and energy consumption within office buildings.

Degree: 2013, Queensland University of Technology

 This research investigated airborne particle characteristics and their dynamics inside and around the envelope of mechanically ventilated office buildings, together with building thermal conditions and… (more)

Subjects/Keywords: Ultrafine particle UFP; Particle number PN; Particle number size distribution PNSD; PM2.5; I/O ratio; Deep bag filter; Electrostatic filter; Indoor particle number model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tran, N. Q. (2013). Optimisation of indoor environmental quality and energy consumption within office buildings. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/64114/

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):

Tran, Ngoc Quang. “Optimisation of indoor environmental quality and energy consumption within office buildings.” 2013. Thesis, Queensland University of Technology. Accessed March 23, 2019. https://eprints.qut.edu.au/64114/.

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

MLA Handbook (7th Edition):

Tran, Ngoc Quang. “Optimisation of indoor environmental quality and energy consumption within office buildings.” 2013. Web. 23 Mar 2019.

Vancouver:

Tran NQ. Optimisation of indoor environmental quality and energy consumption within office buildings. [Internet] [Thesis]. Queensland University of Technology; 2013. [cited 2019 Mar 23]. Available from: https://eprints.qut.edu.au/64114/.

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

Council of Science Editors:

Tran NQ. Optimisation of indoor environmental quality and energy consumption within office buildings. [Thesis]. Queensland University of Technology; 2013. Available from: https://eprints.qut.edu.au/64114/

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


University of Alberta

23. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 23, 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. 23 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 23]. 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


Utah State University

24. Rawlings, Dustin. Extracting Atmospheric Profiles from Hyperspectral Data Using Particle Filters.

Degree: MS, Electrical and Computer Engineering, 2013, Utah State University

  Removing the effects of the atmosphere from remote sensing data requires accurate knowledge of the physical properties of the atmosphere during the time of… (more)

Subjects/Keywords: Atmosphere; Hyperspectral; Particle Filter; Electrical and Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Rawlings, D. (2013). Extracting Atmospheric Profiles from Hyperspectral Data Using Particle Filters. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/1533

Chicago Manual of Style (16th Edition):

Rawlings, Dustin. “Extracting Atmospheric Profiles from Hyperspectral Data Using Particle Filters.” 2013. Masters Thesis, Utah State University. Accessed March 23, 2019. https://digitalcommons.usu.edu/etd/1533.

MLA Handbook (7th Edition):

Rawlings, Dustin. “Extracting Atmospheric Profiles from Hyperspectral Data Using Particle Filters.” 2013. Web. 23 Mar 2019.

Vancouver:

Rawlings D. Extracting Atmospheric Profiles from Hyperspectral Data Using Particle Filters. [Internet] [Masters thesis]. Utah State University; 2013. [cited 2019 Mar 23]. Available from: https://digitalcommons.usu.edu/etd/1533.

Council of Science Editors:

Rawlings D. Extracting Atmospheric Profiles from Hyperspectral Data Using Particle Filters. [Masters Thesis]. Utah State University; 2013. Available from: https://digitalcommons.usu.edu/etd/1533


University of Kansas

25. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 23, 2019. http://hdl.handle.net/1808/14575.

MLA Handbook (7th Edition):

Kacaribu, Febrio. “Three Essays in Macroeconomics and Financial Economics.” 2014. Web. 23 Mar 2019.

Vancouver:

Kacaribu F. Three Essays in Macroeconomics and Financial Economics. [Internet] [Doctoral dissertation]. University of Kansas; 2014. [cited 2019 Mar 23]. 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


Universidade do Rio Grande do Sul

26. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 23, 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. 23 Mar 2019.

Vancouver:

Maffei RdQ. Segmented DP-SLAM. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2013. [cited 2019 Mar 23]. 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


Vanderbilt University

27. Weng, Jiannian. Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems.

Degree: MS, Computer Science, 2013, Vanderbilt University

 Fault diagnosis approaches for nonlinear real-world systems play a very important role in maintaining dependable, robust operations of safety-critical systems like aircraft, automobiles, power plants… (more)

Subjects/Keywords: Particle Filter; Fault Diagnosis; Dynamic Bayesian Network; Nonlinear

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Weng, J. (2013). Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-04012013-232835/ ;

Chicago Manual of Style (16th Edition):

Weng, Jiannian. “Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems.” 2013. Masters Thesis, Vanderbilt University. Accessed March 23, 2019. http://etd.library.vanderbilt.edu/available/etd-04012013-232835/ ;.

MLA Handbook (7th Edition):

Weng, Jiannian. “Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems.” 2013. Web. 23 Mar 2019.

Vancouver:

Weng J. Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems. [Internet] [Masters thesis]. Vanderbilt University; 2013. [cited 2019 Mar 23]. Available from: http://etd.library.vanderbilt.edu/available/etd-04012013-232835/ ;.

Council of Science Editors:

Weng J. Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems. [Masters Thesis]. Vanderbilt University; 2013. Available from: http://etd.library.vanderbilt.edu/available/etd-04012013-232835/ ;


University of North Texas

28. Shen, Yao. Scene Analysis Using Scale Invariant Feature Extraction and Probabilistic Modeling.

Degree: 2011, University of North Texas

 Conventional pattern recognition systems have two components: feature analysis and pattern classification. For any object in an image, features could be considered as the major… (more)

Subjects/Keywords: Scale invariant feature; probabilistic latent semantic analysis; particle filter

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shen, Y. (2011). Scene Analysis Using Scale Invariant Feature Extraction and Probabilistic Modeling. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc84275/

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):

Shen, Yao. “Scene Analysis Using Scale Invariant Feature Extraction and Probabilistic Modeling.” 2011. Thesis, University of North Texas. Accessed March 23, 2019. https://digital.library.unt.edu/ark:/67531/metadc84275/.

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

MLA Handbook (7th Edition):

Shen, Yao. “Scene Analysis Using Scale Invariant Feature Extraction and Probabilistic Modeling.” 2011. Web. 23 Mar 2019.

Vancouver:

Shen Y. Scene Analysis Using Scale Invariant Feature Extraction and Probabilistic Modeling. [Internet] [Thesis]. University of North Texas; 2011. [cited 2019 Mar 23]. Available from: https://digital.library.unt.edu/ark:/67531/metadc84275/.

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

Council of Science Editors:

Shen Y. Scene Analysis Using Scale Invariant Feature Extraction and Probabilistic Modeling. [Thesis]. University of North Texas; 2011. Available from: https://digital.library.unt.edu/ark:/67531/metadc84275/

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


University of Waterloo

29. Li, Zhenning. Single View Human Pose Tracking.

Degree: 2013, University of Waterloo

 Recovery of human pose from videos has become a highly active research area in the last decade because of many attractive potential applications, such as… (more)

Subjects/Keywords: Particle Filter; Human Pose; Computer Vision; Single View

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Li, Z. (2013). Single View Human Pose Tracking. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7543

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):

Li, Zhenning. “Single View Human Pose Tracking.” 2013. Thesis, University of Waterloo. Accessed March 23, 2019. http://hdl.handle.net/10012/7543.

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

MLA Handbook (7th Edition):

Li, Zhenning. “Single View Human Pose Tracking.” 2013. Web. 23 Mar 2019.

Vancouver:

Li Z. Single View Human Pose Tracking. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/10012/7543.

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

Council of Science Editors:

Li Z. Single View Human Pose Tracking. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7543

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


University College Cork

30. Tobin, Ena. A facilities maintenance management process based on degradation prediction using sensed data.

Degree: 2014, University College Cork

 Energy efficiency and user comfort have recently become priorities in the Facility Management (FM) sector. This has resulted in the use of innovative building components,… (more)

Subjects/Keywords: Maintenance processes; Degradation monitoring; Gaussian processes; Particle filter; HVAC data analysis

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tobin, E. (2014). A facilities maintenance management process based on degradation prediction using sensed data. (Thesis). University College Cork. Retrieved from http://hdl.handle.net/10468/2584

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):

Tobin, Ena. “A facilities maintenance management process based on degradation prediction using sensed data.” 2014. Thesis, University College Cork. Accessed March 23, 2019. http://hdl.handle.net/10468/2584.

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

MLA Handbook (7th Edition):

Tobin, Ena. “A facilities maintenance management process based on degradation prediction using sensed data.” 2014. Web. 23 Mar 2019.

Vancouver:

Tobin E. A facilities maintenance management process based on degradation prediction using sensed data. [Internet] [Thesis]. University College Cork; 2014. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/10468/2584.

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

Council of Science Editors:

Tobin E. A facilities maintenance management process based on degradation prediction using sensed data. [Thesis]. University College Cork; 2014. Available from: http://hdl.handle.net/10468/2584

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

[1] [2] [3] [4] [5]

.