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You searched for subject:(Kalman filtering). Showing records 1 – 30 of 354 total matches.

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Rutgers University

1. Almansouri, Saif. Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes.

Degree: MS, Electrical and Computer Engineering, 2016, Rutgers University

 In this thesis, complete decomposition of the Kalman filter into the reduced-order Kalman filter with slow and fast modes is addressed. First, we investigate the… (more)

Subjects/Keywords: Kalman filtering

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APA (6th Edition):

Almansouri, S. (2016). Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/51186/

Chicago Manual of Style (16th Edition):

Almansouri, Saif. “Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes.” 2016. Masters Thesis, Rutgers University. Accessed December 01, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/51186/.

MLA Handbook (7th Edition):

Almansouri, Saif. “Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes.” 2016. Web. 01 Dec 2020.

Vancouver:

Almansouri S. Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes. [Internet] [Masters thesis]. Rutgers University; 2016. [cited 2020 Dec 01]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/51186/.

Council of Science Editors:

Almansouri S. Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes. [Masters Thesis]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/51186/


Oregon State University

2. Muñoz Constantine, Juan Pablo. Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter.

Degree: MS, Electrical and Computer Engineering, 2015, Oregon State University

 Due to the popularity of electronically controlled loads and the widespread use of alternative energy sources such as wind turbines and solar cells, the power… (more)

Subjects/Keywords: Unscented; Kalman filtering

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APA (6th Edition):

Muñoz Constantine, J. P. (2015). Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/57444

Chicago Manual of Style (16th Edition):

Muñoz Constantine, Juan Pablo. “Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter.” 2015. Masters Thesis, Oregon State University. Accessed December 01, 2020. http://hdl.handle.net/1957/57444.

MLA Handbook (7th Edition):

Muñoz Constantine, Juan Pablo. “Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter.” 2015. Web. 01 Dec 2020.

Vancouver:

Muñoz Constantine JP. Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter. [Internet] [Masters thesis]. Oregon State University; 2015. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1957/57444.

Council of Science Editors:

Muñoz Constantine JP. Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter. [Masters Thesis]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/57444


Ryerson University

3. Hosseignholizadeh, Ali. Extended Kalman filter approach to electric arc furnace forecasting.

Degree: 2015, Ryerson University

 In this thesis, we propose and implement a new approach for building an online self-adjusting model for prediction of v-i characteristic of a multivariate time… (more)

Subjects/Keywords: Kalman filtering; Electric furnaces

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APA (6th Edition):

Hosseignholizadeh, A. (2015). Extended Kalman filter approach to electric arc furnace forecasting. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A4448

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):

Hosseignholizadeh, Ali. “Extended Kalman filter approach to electric arc furnace forecasting.” 2015. Thesis, Ryerson University. Accessed December 01, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A4448.

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

MLA Handbook (7th Edition):

Hosseignholizadeh, Ali. “Extended Kalman filter approach to electric arc furnace forecasting.” 2015. Web. 01 Dec 2020.

Vancouver:

Hosseignholizadeh A. Extended Kalman filter approach to electric arc furnace forecasting. [Internet] [Thesis]. Ryerson University; 2015. [cited 2020 Dec 01]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A4448.

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

Council of Science Editors:

Hosseignholizadeh A. Extended Kalman filter approach to electric arc furnace forecasting. [Thesis]. Ryerson University; 2015. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A4448

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


Penn State University

4. Ramaswamy, Bharath. KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS) .

Degree: 2011, Penn State University

 Musculoskeletal disorders such as low back pain, joint injuries and repetitive strain injuries have affected a sizeable percentage of population in the US and are… (more)

Subjects/Keywords: PBAS; Kalman filtering; IMU

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APA (6th Edition):

Ramaswamy, B. (2011). KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS) . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11881

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):

Ramaswamy, Bharath. “KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS) .” 2011. Thesis, Penn State University. Accessed December 01, 2020. https://submit-etda.libraries.psu.edu/catalog/11881.

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

MLA Handbook (7th Edition):

Ramaswamy, Bharath. “KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS) .” 2011. Web. 01 Dec 2020.

Vancouver:

Ramaswamy B. KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS) . [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Dec 01]. Available from: https://submit-etda.libraries.psu.edu/catalog/11881.

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

Council of Science Editors:

Ramaswamy B. KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS) . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/11881

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


University of Delaware

5. Miller, Cory Ignatius. Estimation and control with censored data.

Degree: PhD, University of Delaware, Department of Electrical and Computer Engineering, 2015, University of Delaware

 Censored measurements are a particular form of output nonlinearity in which the measured output is a continuous function of the state within a certain dynamic… (more)

Subjects/Keywords: Censored observations (Statistics); Kalman filtering.

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APA (6th Edition):

Miller, C. I. (2015). Estimation and control with censored data. (Doctoral Dissertation). University of Delaware. Retrieved from http://udspace.udel.edu/handle/19716/16997

Chicago Manual of Style (16th Edition):

Miller, Cory Ignatius. “Estimation and control with censored data.” 2015. Doctoral Dissertation, University of Delaware. Accessed December 01, 2020. http://udspace.udel.edu/handle/19716/16997.

MLA Handbook (7th Edition):

Miller, Cory Ignatius. “Estimation and control with censored data.” 2015. Web. 01 Dec 2020.

Vancouver:

Miller CI. Estimation and control with censored data. [Internet] [Doctoral dissertation]. University of Delaware; 2015. [cited 2020 Dec 01]. Available from: http://udspace.udel.edu/handle/19716/16997.

Council of Science Editors:

Miller CI. Estimation and control with censored data. [Doctoral Dissertation]. University of Delaware; 2015. Available from: http://udspace.udel.edu/handle/19716/16997


University of Maine

6. Pellett, Andrew. The Extended Kalman-Consensus Filter.

Degree: MS, Computer Engineering, 2011, University of Maine

  An algorithm called the extended Kalman-Consensus filter is developed as an extension of the Kalman-Consensus filter to the non-linear case. The extended Kalman- Consensus… (more)

Subjects/Keywords: Kalman filtering; Computer Sciences

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APA (6th Edition):

Pellett, A. (2011). The Extended Kalman-Consensus Filter. (Masters Thesis). University of Maine. Retrieved from https://digitalcommons.library.umaine.edu/etd/1593

Chicago Manual of Style (16th Edition):

Pellett, Andrew. “The Extended Kalman-Consensus Filter.” 2011. Masters Thesis, University of Maine. Accessed December 01, 2020. https://digitalcommons.library.umaine.edu/etd/1593.

MLA Handbook (7th Edition):

Pellett, Andrew. “The Extended Kalman-Consensus Filter.” 2011. Web. 01 Dec 2020.

Vancouver:

Pellett A. The Extended Kalman-Consensus Filter. [Internet] [Masters thesis]. University of Maine; 2011. [cited 2020 Dec 01]. Available from: https://digitalcommons.library.umaine.edu/etd/1593.

Council of Science Editors:

Pellett A. The Extended Kalman-Consensus Filter. [Masters Thesis]. University of Maine; 2011. Available from: https://digitalcommons.library.umaine.edu/etd/1593


Michigan State University

7. Quencer, Brett Michael. Multicomponent kinetic determinations with the extended Kalman filter.

Degree: PhD, Department of Chemistry, 1993, Michigan State University

Subjects/Keywords: Kalman filtering

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APA (6th Edition):

Quencer, B. M. (1993). Multicomponent kinetic determinations with the extended Kalman filter. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:22477

Chicago Manual of Style (16th Edition):

Quencer, Brett Michael. “Multicomponent kinetic determinations with the extended Kalman filter.” 1993. Doctoral Dissertation, Michigan State University. Accessed December 01, 2020. http://etd.lib.msu.edu/islandora/object/etd:22477.

MLA Handbook (7th Edition):

Quencer, Brett Michael. “Multicomponent kinetic determinations with the extended Kalman filter.” 1993. Web. 01 Dec 2020.

Vancouver:

Quencer BM. Multicomponent kinetic determinations with the extended Kalman filter. [Internet] [Doctoral dissertation]. Michigan State University; 1993. [cited 2020 Dec 01]. Available from: http://etd.lib.msu.edu/islandora/object/etd:22477.

Council of Science Editors:

Quencer BM. Multicomponent kinetic determinations with the extended Kalman filter. [Doctoral Dissertation]. Michigan State University; 1993. Available from: http://etd.lib.msu.edu/islandora/object/etd:22477


Universidad de Cantabria

8. Pigazo López, Alberto. Método de control de filtros activos de potencia paralelo tolerante a perturbaciones de la tensión de red.

Degree: 2005, Universidad de Cantabria

 RESUMEN:La utilización de filtros activos paralelo mejora la eficiencia del suministro eléctrico mediante la modificación de las características de la forma de onda de las… (more)

Subjects/Keywords: Kalman filtering

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APA (6th Edition):

Pigazo López, A. (2005). Método de control de filtros activos de potencia paralelo tolerante a perturbaciones de la tensión de red. (Doctoral Dissertation). Universidad de Cantabria. Retrieved from http://hdl.handle.net/10902/1560

Chicago Manual of Style (16th Edition):

Pigazo López, Alberto. “Método de control de filtros activos de potencia paralelo tolerante a perturbaciones de la tensión de red.” 2005. Doctoral Dissertation, Universidad de Cantabria. Accessed December 01, 2020. http://hdl.handle.net/10902/1560.

MLA Handbook (7th Edition):

Pigazo López, Alberto. “Método de control de filtros activos de potencia paralelo tolerante a perturbaciones de la tensión de red.” 2005. Web. 01 Dec 2020.

Vancouver:

Pigazo López A. Método de control de filtros activos de potencia paralelo tolerante a perturbaciones de la tensión de red. [Internet] [Doctoral dissertation]. Universidad de Cantabria; 2005. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/10902/1560.

Council of Science Editors:

Pigazo López A. Método de control de filtros activos de potencia paralelo tolerante a perturbaciones de la tensión de red. [Doctoral Dissertation]. Universidad de Cantabria; 2005. Available from: http://hdl.handle.net/10902/1560


University of Arizona

9. Warnock, Joe Carl, 1948-. Optimal minimal-order state estimation filters for two classes of discrete linear time-varying stochastic systems .

Degree: 1972, University of Arizona

Subjects/Keywords: Kalman filtering.

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APA (6th Edition):

Warnock, Joe Carl, 1. (1972). Optimal minimal-order state estimation filters for two classes of discrete linear time-varying stochastic systems . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/555342

Chicago Manual of Style (16th Edition):

Warnock, Joe Carl, 1948-. “Optimal minimal-order state estimation filters for two classes of discrete linear time-varying stochastic systems .” 1972. Masters Thesis, University of Arizona. Accessed December 01, 2020. http://hdl.handle.net/10150/555342.

MLA Handbook (7th Edition):

Warnock, Joe Carl, 1948-. “Optimal minimal-order state estimation filters for two classes of discrete linear time-varying stochastic systems .” 1972. Web. 01 Dec 2020.

Vancouver:

Warnock, Joe Carl 1. Optimal minimal-order state estimation filters for two classes of discrete linear time-varying stochastic systems . [Internet] [Masters thesis]. University of Arizona; 1972. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/10150/555342.

Council of Science Editors:

Warnock, Joe Carl 1. Optimal minimal-order state estimation filters for two classes of discrete linear time-varying stochastic systems . [Masters Thesis]. University of Arizona; 1972. Available from: http://hdl.handle.net/10150/555342


University of Arizona

10. Hampton, Robert Lee Thomas, 1939-. STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION .

Degree: 1971, University of Arizona

Subjects/Keywords: Kalman filtering.

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APA (6th Edition):

Hampton, Robert Lee Thomas, 1. (1971). STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/287682

Chicago Manual of Style (16th Edition):

Hampton, Robert Lee Thomas, 1939-. “STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION .” 1971. Doctoral Dissertation, University of Arizona. Accessed December 01, 2020. http://hdl.handle.net/10150/287682.

MLA Handbook (7th Edition):

Hampton, Robert Lee Thomas, 1939-. “STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION .” 1971. Web. 01 Dec 2020.

Vancouver:

Hampton, Robert Lee Thomas 1. STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION . [Internet] [Doctoral dissertation]. University of Arizona; 1971. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/10150/287682.

Council of Science Editors:

Hampton, Robert Lee Thomas 1. STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION . [Doctoral Dissertation]. University of Arizona; 1971. Available from: http://hdl.handle.net/10150/287682


University of Missouri – Columbia

11. Wu, Lingxue. Covariance methods in nonlinear model identification.

Degree: 2016, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] In many practical engineering and machine learning applications, it is necessary to identify an… (more)

Subjects/Keywords: Kalman filtering  – Mathematical models

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APA (6th Edition):

Wu, L. (2016). Covariance methods in nonlinear model identification. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/56418

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):

Wu, Lingxue. “Covariance methods in nonlinear model identification.” 2016. Thesis, University of Missouri – Columbia. Accessed December 01, 2020. https://doi.org/10.32469/10355/56418.

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

MLA Handbook (7th Edition):

Wu, Lingxue. “Covariance methods in nonlinear model identification.” 2016. Web. 01 Dec 2020.

Vancouver:

Wu L. Covariance methods in nonlinear model identification. [Internet] [Thesis]. University of Missouri – Columbia; 2016. [cited 2020 Dec 01]. Available from: https://doi.org/10.32469/10355/56418.

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

Council of Science Editors:

Wu L. Covariance methods in nonlinear model identification. [Thesis]. University of Missouri – Columbia; 2016. Available from: https://doi.org/10.32469/10355/56418

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


University of Sydney

12. Barton, Matthew. Kalman-filter-based EEG source localization .

Degree: 2011, University of Sydney

 This thesis uses the Kalman filter (KF) to solve the electroencephalographic (EEG) inverse problem to image its neuronal sources. Chapter 1 introduces EEG source localization… (more)

Subjects/Keywords: EEG; Source localization; Kalman filtering

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APA (6th Edition):

Barton, M. (2011). Kalman-filter-based EEG source localization . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/12459

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):

Barton, Matthew. “Kalman-filter-based EEG source localization .” 2011. Thesis, University of Sydney. Accessed December 01, 2020. http://hdl.handle.net/2123/12459.

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

MLA Handbook (7th Edition):

Barton, Matthew. “Kalman-filter-based EEG source localization .” 2011. Web. 01 Dec 2020.

Vancouver:

Barton M. Kalman-filter-based EEG source localization . [Internet] [Thesis]. University of Sydney; 2011. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/2123/12459.

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

Council of Science Editors:

Barton M. Kalman-filter-based EEG source localization . [Thesis]. University of Sydney; 2011. Available from: http://hdl.handle.net/2123/12459

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

13. Knauff, Michael Carlson. Kalman Filter Based State of Charge Estimation for Valve Regulated Lead Acid Batteries in Wind Power Smoothing Applications.

Degree: 2013, Drexel University

The anticipated increase in electrical power generation from wind and other renewable energy sources is expected to require new techniques to meet challenges faced as… (more)

Subjects/Keywords: Electrical engineering; Kalman filtering; Lead-acid batteries

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APA (6th Edition):

Knauff, M. C. (2013). Kalman Filter Based State of Charge Estimation for Valve Regulated Lead Acid Batteries in Wind Power Smoothing Applications. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/4190

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):

Knauff, Michael Carlson. “Kalman Filter Based State of Charge Estimation for Valve Regulated Lead Acid Batteries in Wind Power Smoothing Applications.” 2013. Thesis, Drexel University. Accessed December 01, 2020. http://hdl.handle.net/1860/4190.

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

MLA Handbook (7th Edition):

Knauff, Michael Carlson. “Kalman Filter Based State of Charge Estimation for Valve Regulated Lead Acid Batteries in Wind Power Smoothing Applications.” 2013. Web. 01 Dec 2020.

Vancouver:

Knauff MC. Kalman Filter Based State of Charge Estimation for Valve Regulated Lead Acid Batteries in Wind Power Smoothing Applications. [Internet] [Thesis]. Drexel University; 2013. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1860/4190.

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

Council of Science Editors:

Knauff MC. Kalman Filter Based State of Charge Estimation for Valve Regulated Lead Acid Batteries in Wind Power Smoothing Applications. [Thesis]. Drexel University; 2013. Available from: http://hdl.handle.net/1860/4190

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


Penn State University

14. Poterjoy, Jonathan. Ensemble and hybrid four-dimensional data assimilation for tropical cyclone analysis and prediction.

Degree: 2014, Penn State University

 Numerical models and observations contain critical information regarding the earth-atmosphere system: they present a means of quantifying the system dynamics and provide evidence of the… (more)

Subjects/Keywords: Data assimilation; Kalman filtering; tropical cyclones

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APA (6th Edition):

Poterjoy, J. (2014). Ensemble and hybrid four-dimensional data assimilation for tropical cyclone analysis and prediction. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/22698

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):

Poterjoy, Jonathan. “Ensemble and hybrid four-dimensional data assimilation for tropical cyclone analysis and prediction.” 2014. Thesis, Penn State University. Accessed December 01, 2020. https://submit-etda.libraries.psu.edu/catalog/22698.

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

MLA Handbook (7th Edition):

Poterjoy, Jonathan. “Ensemble and hybrid four-dimensional data assimilation for tropical cyclone analysis and prediction.” 2014. Web. 01 Dec 2020.

Vancouver:

Poterjoy J. Ensemble and hybrid four-dimensional data assimilation for tropical cyclone analysis and prediction. [Internet] [Thesis]. Penn State University; 2014. [cited 2020 Dec 01]. Available from: https://submit-etda.libraries.psu.edu/catalog/22698.

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

Council of Science Editors:

Poterjoy J. Ensemble and hybrid four-dimensional data assimilation for tropical cyclone analysis and prediction. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/22698

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

15. Leader, Daniel Eugene. Kalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion unit.

Degree: 1994, MIT and Woods Hole Oceanographic Institution

 This Paper explores the use of an extended Kalman filter to provide real-time estimates of underwater vehicle position and attitude. The types of previously available… (more)

Subjects/Keywords: Submersibles; Kalman filtering

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APA (6th Edition):

Leader, D. E. (1994). Kalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion unit. (Thesis). MIT and Woods Hole Oceanographic Institution. Retrieved from http://hdl.handle.net/1912/2418

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):

Leader, Daniel Eugene. “Kalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion unit.” 1994. Thesis, MIT and Woods Hole Oceanographic Institution. Accessed December 01, 2020. http://hdl.handle.net/1912/2418.

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

MLA Handbook (7th Edition):

Leader, Daniel Eugene. “Kalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion unit.” 1994. Web. 01 Dec 2020.

Vancouver:

Leader DE. Kalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion unit. [Internet] [Thesis]. MIT and Woods Hole Oceanographic Institution; 1994. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1912/2418.

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

Council of Science Editors:

Leader DE. Kalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion unit. [Thesis]. MIT and Woods Hole Oceanographic Institution; 1994. Available from: http://hdl.handle.net/1912/2418

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


University of Oxford

16. Thompson, Richard Lee. Integration of visual and haptic feedback for teleoperation.

Degree: PhD, 2001, University of Oxford

 Teleoperation systems are an important tool for performing tasks which require the sensori-motor coordination of an operator but where it is physically impossible for an… (more)

Subjects/Keywords: 620.46; Kalman filtering

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

APA (6th Edition):

Thompson, R. L. (2001). Integration of visual and haptic feedback for teleoperation. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:257a7ad3-c457-44eb-84d7-ffc2f5939847 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275382

Chicago Manual of Style (16th Edition):

Thompson, Richard Lee. “Integration of visual and haptic feedback for teleoperation.” 2001. Doctoral Dissertation, University of Oxford. Accessed December 01, 2020. http://ora.ox.ac.uk/objects/uuid:257a7ad3-c457-44eb-84d7-ffc2f5939847 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275382.

MLA Handbook (7th Edition):

Thompson, Richard Lee. “Integration of visual and haptic feedback for teleoperation.” 2001. Web. 01 Dec 2020.

Vancouver:

Thompson RL. Integration of visual and haptic feedback for teleoperation. [Internet] [Doctoral dissertation]. University of Oxford; 2001. [cited 2020 Dec 01]. Available from: http://ora.ox.ac.uk/objects/uuid:257a7ad3-c457-44eb-84d7-ffc2f5939847 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275382.

Council of Science Editors:

Thompson RL. Integration of visual and haptic feedback for teleoperation. [Doctoral Dissertation]. University of Oxford; 2001. Available from: http://ora.ox.ac.uk/objects/uuid:257a7ad3-c457-44eb-84d7-ffc2f5939847 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275382


Hong Kong University of Science and Technology

17. Lau, Ka Kin CIVL. Online structural health monitoring using Kalman-filter-based methods.

Degree: 2018, Hong Kong University of Science and Technology

 Structural health monitoring (SHM) is an emerging interdisciplinary research field that aims at providing an intellectual framework to ensure the safety and performance of civil… (more)

Subjects/Keywords: Structural health monitoring ; Mathematical models ; Kalman filtering

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APA (6th Edition):

Lau, K. K. C. (2018). Online structural health monitoring using Kalman-filter-based methods. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-95695 ; https://doi.org/10.14711/thesis-991012633567703412 ; http://repository.ust.hk/ir/bitstream/1783.1-95695/1/th_redirect.html

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):

Lau, Ka Kin CIVL. “Online structural health monitoring using Kalman-filter-based methods.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed December 01, 2020. http://repository.ust.hk/ir/Record/1783.1-95695 ; https://doi.org/10.14711/thesis-991012633567703412 ; http://repository.ust.hk/ir/bitstream/1783.1-95695/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Lau, Ka Kin CIVL. “Online structural health monitoring using Kalman-filter-based methods.” 2018. Web. 01 Dec 2020.

Vancouver:

Lau KKC. Online structural health monitoring using Kalman-filter-based methods. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2020 Dec 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-95695 ; https://doi.org/10.14711/thesis-991012633567703412 ; http://repository.ust.hk/ir/bitstream/1783.1-95695/1/th_redirect.html.

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

Council of Science Editors:

Lau KKC. Online structural health monitoring using Kalman-filter-based methods. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: http://repository.ust.hk/ir/Record/1783.1-95695 ; https://doi.org/10.14711/thesis-991012633567703412 ; http://repository.ust.hk/ir/bitstream/1783.1-95695/1/th_redirect.html

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


Hong Kong University of Science and Technology

18. Pang, Minjian ECE. Multi-state constraint Kalman filter based visual inertial navigation system for monocular, stereo and RGB-D cameras.

Degree: 2018, Hong Kong University of Science and Technology

 Simultaneous localization and mapping (SLAM), serving as a fundamental technology in various areas such as robotics, autonomous driving, augmented reality (AR), etc., has been investigated… (more)

Subjects/Keywords: Inertial navigation systems ; Kalman filtering ; Detectors

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APA (6th Edition):

Pang, M. E. (2018). Multi-state constraint Kalman filter based visual inertial navigation system for monocular, stereo and RGB-D cameras. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-95904 ; https://doi.org/10.14711/thesis-991012636967903412 ; http://repository.ust.hk/ir/bitstream/1783.1-95904/1/th_redirect.html

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):

Pang, Minjian ECE. “Multi-state constraint Kalman filter based visual inertial navigation system for monocular, stereo and RGB-D cameras.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed December 01, 2020. http://repository.ust.hk/ir/Record/1783.1-95904 ; https://doi.org/10.14711/thesis-991012636967903412 ; http://repository.ust.hk/ir/bitstream/1783.1-95904/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Pang, Minjian ECE. “Multi-state constraint Kalman filter based visual inertial navigation system for monocular, stereo and RGB-D cameras.” 2018. Web. 01 Dec 2020.

Vancouver:

Pang ME. Multi-state constraint Kalman filter based visual inertial navigation system for monocular, stereo and RGB-D cameras. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2020 Dec 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-95904 ; https://doi.org/10.14711/thesis-991012636967903412 ; http://repository.ust.hk/ir/bitstream/1783.1-95904/1/th_redirect.html.

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

Council of Science Editors:

Pang ME. Multi-state constraint Kalman filter based visual inertial navigation system for monocular, stereo and RGB-D cameras. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: http://repository.ust.hk/ir/Record/1783.1-95904 ; https://doi.org/10.14711/thesis-991012636967903412 ; http://repository.ust.hk/ir/bitstream/1783.1-95904/1/th_redirect.html

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

19. Rogers, Jonas Paul. GNSS and Inertial Fused Navigation Filter Simulation.

Degree: MS, 2018, Worcester Polytechnic Institute

 A navigation filter simulation and analysis environment was developed through the integration of DRAGON, a high fidelity real-time PNT sensor measurement source, and Scorpion, a… (more)

Subjects/Keywords: Fused navigation; GNSS; GPS; Kalman Filtering; Navigation

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APA (6th Edition):

Rogers, J. P. (2018). GNSS and Inertial Fused Navigation Filter Simulation. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-012318-181707 ; https://digitalcommons.wpi.edu/etd-theses/1303

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):

Rogers, Jonas Paul. “GNSS and Inertial Fused Navigation Filter Simulation.” 2018. Thesis, Worcester Polytechnic Institute. Accessed December 01, 2020. etd-012318-181707 ; https://digitalcommons.wpi.edu/etd-theses/1303.

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

MLA Handbook (7th Edition):

Rogers, Jonas Paul. “GNSS and Inertial Fused Navigation Filter Simulation.” 2018. Web. 01 Dec 2020.

Vancouver:

Rogers JP. GNSS and Inertial Fused Navigation Filter Simulation. [Internet] [Thesis]. Worcester Polytechnic Institute; 2018. [cited 2020 Dec 01]. Available from: etd-012318-181707 ; https://digitalcommons.wpi.edu/etd-theses/1303.

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

Council of Science Editors:

Rogers JP. GNSS and Inertial Fused Navigation Filter Simulation. [Thesis]. Worcester Polytechnic Institute; 2018. Available from: etd-012318-181707 ; https://digitalcommons.wpi.edu/etd-theses/1303

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


Colorado School of Mines

20. Engler, Davis. Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.

Degree: MS(M.S.), Applied Mathematics and Statistics, 2019, Colorado School of Mines

 Following an earthquake it is crucial to estimate the true scope of impact in terms of fatalities and damage as quickly as possible for efficient… (more)

Subjects/Keywords: Earthquake fatality estimation; Bayesian updating; Kalman filtering

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APA (6th Edition):

Engler, D. (2019). Efficient stochastic computational framework for estimating and updating earthquake fatalities, An. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/173071

Chicago Manual of Style (16th Edition):

Engler, Davis. “Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.” 2019. Masters Thesis, Colorado School of Mines. Accessed December 01, 2020. http://hdl.handle.net/11124/173071.

MLA Handbook (7th Edition):

Engler, Davis. “Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.” 2019. Web. 01 Dec 2020.

Vancouver:

Engler D. Efficient stochastic computational framework for estimating and updating earthquake fatalities, An. [Internet] [Masters thesis]. Colorado School of Mines; 2019. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/11124/173071.

Council of Science Editors:

Engler D. Efficient stochastic computational framework for estimating and updating earthquake fatalities, An. [Masters Thesis]. Colorado School of Mines; 2019. Available from: http://hdl.handle.net/11124/173071


University of Missouri – Columbia

21. Al-Naseri, Ahmed. Estimation of model states for a hydraulic valve system using an extended Kalman filter.

Degree: 2017, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Pilot valves are considered as one of most common types of valves in the… (more)

Subjects/Keywords: Automobiles – Motors – Valves; Hydraulic engineering; Kalman filtering

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APA (6th Edition):

Al-Naseri, A. (2017). Estimation of model states for a hydraulic valve system using an extended Kalman filter. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/62013

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):

Al-Naseri, Ahmed. “Estimation of model states for a hydraulic valve system using an extended Kalman filter.” 2017. Thesis, University of Missouri – Columbia. Accessed December 01, 2020. http://hdl.handle.net/10355/62013.

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

MLA Handbook (7th Edition):

Al-Naseri, Ahmed. “Estimation of model states for a hydraulic valve system using an extended Kalman filter.” 2017. Web. 01 Dec 2020.

Vancouver:

Al-Naseri A. Estimation of model states for a hydraulic valve system using an extended Kalman filter. [Internet] [Thesis]. University of Missouri – Columbia; 2017. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/10355/62013.

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

Council of Science Editors:

Al-Naseri A. Estimation of model states for a hydraulic valve system using an extended Kalman filter. [Thesis]. University of Missouri – Columbia; 2017. Available from: http://hdl.handle.net/10355/62013

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


George Mason University

22. Ravichandran, Suraj. Comparison of Di erent Kalman Filters for Application to Mobile Robotics .

Degree: 2014, George Mason University

 The problem of state estimation of the mobile robot's trajectory being a nonlinear one, the intent of this thesis is to go beyond the realm… (more)

Subjects/Keywords: Kalman Filtering; Nonlinear Kalman Filters; Unscented Kalman Filters; mobile robotics; Iterated Extend Kalman Filter; Extended Kalman Filter

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APA (6th Edition):

Ravichandran, S. (2014). Comparison of Di erent Kalman Filters for Application to Mobile Robotics . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/8997

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):

Ravichandran, Suraj. “Comparison of Di erent Kalman Filters for Application to Mobile Robotics .” 2014. Thesis, George Mason University. Accessed December 01, 2020. http://hdl.handle.net/1920/8997.

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

MLA Handbook (7th Edition):

Ravichandran, Suraj. “Comparison of Di erent Kalman Filters for Application to Mobile Robotics .” 2014. Web. 01 Dec 2020.

Vancouver:

Ravichandran S. Comparison of Di erent Kalman Filters for Application to Mobile Robotics . [Internet] [Thesis]. George Mason University; 2014. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1920/8997.

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

Council of Science Editors:

Ravichandran S. Comparison of Di erent Kalman Filters for Application to Mobile Robotics . [Thesis]. George Mason University; 2014. Available from: http://hdl.handle.net/1920/8997

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


Texas A&M University

23. McClenny, Levi Daniel. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.

Degree: MS, Electrical Engineering, 2016, Texas A&M University

 Recently, state space signal models have been proposed to characterize the behavior of discrete-time boolean dynamical systems. The current system model is one in which… (more)

Subjects/Keywords: Boolean; Kalman; Filtering; Colored Noise; Correlated Noise; Particle Filtering

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APA (6th Edition):

McClenny, L. D. (2016). Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157796

Chicago Manual of Style (16th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Masters Thesis, Texas A&M University. Accessed December 01, 2020. http://hdl.handle.net/1969.1/157796.

MLA Handbook (7th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Web. 01 Dec 2020.

Vancouver:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1969.1/157796.

Council of Science Editors:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157796


Syracuse University

24. ZHENG, YUJIAO. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.

Degree: PhD, Electrical Engineering and Computer Science, 2014, Syracuse University

  Distributed inference arising in sensor networks has been an interesting and promising discipline in recent years. The goal of this dissertation is to investigate… (more)

Subjects/Keywords: Bayesian estimation; Kalman filtering; Particle filtering; Sensor networks; Target tracking; Engineering

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APA (6th Edition):

ZHENG, Y. (2014). Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. (Doctoral Dissertation). Syracuse University. Retrieved from https://surface.syr.edu/etd/71

Chicago Manual of Style (16th Edition):

ZHENG, YUJIAO. “Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.” 2014. Doctoral Dissertation, Syracuse University. Accessed December 01, 2020. https://surface.syr.edu/etd/71.

MLA Handbook (7th Edition):

ZHENG, YUJIAO. “Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.” 2014. Web. 01 Dec 2020.

Vancouver:

ZHENG Y. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Syracuse University; 2014. [cited 2020 Dec 01]. Available from: https://surface.syr.edu/etd/71.

Council of Science Editors:

ZHENG Y. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. [Doctoral Dissertation]. Syracuse University; 2014. Available from: https://surface.syr.edu/etd/71

25. So, Ratanak. Extended Kalman Filter Simulink Model for Nonlinear System Modeling.

Degree: MS, Electrical and Computer Engineering, 2015, Oregon State University

 The objective of the work presented herein is the development of the extended Kalman filter for nonlinear system modeling. A standard Kalman filter is a… (more)

Subjects/Keywords: Extended Kalman Filter; Kalman filtering

…The Extended Kalman Filter 4.1 Taylor Series Expansion The key to nonlinear Kalman filtering… …20 Bibliography [1] R. E. Kalman, “A new approach to linear filtering and… …Courses, 2001. [3] D. Simon, “Kalman filtering,” Embedded Systems Programming, vol. 14… …Pike, “Kalman filtering applied to statistical forecasting,” Management Science, vol. 23, no… …7, pp. 768–774, 1977. [8] D. Simon, “Using nonlinear kalman filtering to… 

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APA (6th Edition):

So, R. (2015). Extended Kalman Filter Simulink Model for Nonlinear System Modeling. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/56248

Chicago Manual of Style (16th Edition):

So, Ratanak. “Extended Kalman Filter Simulink Model for Nonlinear System Modeling.” 2015. Masters Thesis, Oregon State University. Accessed December 01, 2020. http://hdl.handle.net/1957/56248.

MLA Handbook (7th Edition):

So, Ratanak. “Extended Kalman Filter Simulink Model for Nonlinear System Modeling.” 2015. Web. 01 Dec 2020.

Vancouver:

So R. Extended Kalman Filter Simulink Model for Nonlinear System Modeling. [Internet] [Masters thesis]. Oregon State University; 2015. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1957/56248.

Council of Science Editors:

So R. Extended Kalman Filter Simulink Model for Nonlinear System Modeling. [Masters Thesis]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/56248


NSYSU

26. Liu, Ting-Wei. Wireless Location with Inertial Assisted NLOS Mitigation in UWB.

Degree: Master, Electrical Engineering, 2011, NSYSU

 The thesis is mainly focused on a hybrid location system, which processes wireless and inertial measurements by extended Kalman filtering. Inertial location system is usually… (more)

Subjects/Keywords: location and tracking; ultra-wideband; non-line of sight; Kalman filtering

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APA (6th Edition):

Liu, T. (2011). Wireless Location with Inertial Assisted NLOS Mitigation in UWB. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819111-142037

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):

Liu, Ting-Wei. “Wireless Location with Inertial Assisted NLOS Mitigation in UWB.” 2011. Thesis, NSYSU. Accessed December 01, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819111-142037.

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

MLA Handbook (7th Edition):

Liu, Ting-Wei. “Wireless Location with Inertial Assisted NLOS Mitigation in UWB.” 2011. Web. 01 Dec 2020.

Vancouver:

Liu T. Wireless Location with Inertial Assisted NLOS Mitigation in UWB. [Internet] [Thesis]. NSYSU; 2011. [cited 2020 Dec 01]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819111-142037.

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

Council of Science Editors:

Liu T. Wireless Location with Inertial Assisted NLOS Mitigation in UWB. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819111-142037

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

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

Degree: 2006, Helsinki University of Technology

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Särkkä, Simo. “Recursive Bayesian Inference on Stochastic Differential Equations.” 2006. Thesis, Helsinki University of Technology. Accessed December 01, 2020. 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. 01 Dec 2020.

Vancouver:

Särkkä S. Recursive Bayesian Inference on Stochastic Differential Equations. [Internet] [Thesis]. Helsinki University of Technology; 2006. [cited 2020 Dec 01]. 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 California – Irvine

28. SEDIGHI, SADJAD. Channel Estimation Methods by Using Prebeamforming Technique in Massive MIMO.

Degree: Electrical and Computer Engineering, 2017, University of California – Irvine

 The number of connected wireless devices is anticipated to increase heavily in the next few years. Thus, there is a need for a new system… (more)

Subjects/Keywords: Electrical engineering; Channel Estimation; Kalman Filtering; Massive MIMO; Prebeamforming

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APA (6th Edition):

SEDIGHI, S. (2017). Channel Estimation Methods by Using Prebeamforming Technique in Massive MIMO. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/0d68d2wd

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):

SEDIGHI, SADJAD. “Channel Estimation Methods by Using Prebeamforming Technique in Massive MIMO.” 2017. Thesis, University of California – Irvine. Accessed December 01, 2020. http://www.escholarship.org/uc/item/0d68d2wd.

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

MLA Handbook (7th Edition):

SEDIGHI, SADJAD. “Channel Estimation Methods by Using Prebeamforming Technique in Massive MIMO.” 2017. Web. 01 Dec 2020.

Vancouver:

SEDIGHI S. Channel Estimation Methods by Using Prebeamforming Technique in Massive MIMO. [Internet] [Thesis]. University of California – Irvine; 2017. [cited 2020 Dec 01]. Available from: http://www.escholarship.org/uc/item/0d68d2wd.

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

Council of Science Editors:

SEDIGHI S. Channel Estimation Methods by Using Prebeamforming Technique in Massive MIMO. [Thesis]. University of California – Irvine; 2017. Available from: http://www.escholarship.org/uc/item/0d68d2wd

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


University of California – San Diego

29. Huang, Chun-Chia. State estimation with imperfect communications: escape time formulation and exact quantized-innovations filtering.

Degree: Engineering Sciences (Mechanical Engineering), 2015, University of California – San Diego

 The problem of state estimation for a linear, time-varying, gaussian system from measurements which are communicated over an imperfect channel is considered from several perspectives.… (more)

Subjects/Keywords: Mechanical engineering; Bayesian filtering; Escape time; Kalman filter; packet dropping; quantization

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

APA (6th Edition):

Huang, C. (2015). State estimation with imperfect communications: escape time formulation and exact quantized-innovations filtering. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/9c82172m

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):

Huang, Chun-Chia. “State estimation with imperfect communications: escape time formulation and exact quantized-innovations filtering.” 2015. Thesis, University of California – San Diego. Accessed December 01, 2020. http://www.escholarship.org/uc/item/9c82172m.

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

MLA Handbook (7th Edition):

Huang, Chun-Chia. “State estimation with imperfect communications: escape time formulation and exact quantized-innovations filtering.” 2015. Web. 01 Dec 2020.

Vancouver:

Huang C. State estimation with imperfect communications: escape time formulation and exact quantized-innovations filtering. [Internet] [Thesis]. University of California – San Diego; 2015. [cited 2020 Dec 01]. Available from: http://www.escholarship.org/uc/item/9c82172m.

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

Council of Science Editors:

Huang C. State estimation with imperfect communications: escape time formulation and exact quantized-innovations filtering. [Thesis]. University of California – San Diego; 2015. Available from: http://www.escholarship.org/uc/item/9c82172m

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


Ryerson University

30. Rososhansky, Michael. Nonlinear Attitude and Formation Estimation Spacecraft And Multi-Agent Systems.

Degree: 2017, Ryerson University

 This dissertation examines the state and parameter estimation problem of monolithic spacecraft and multi-agent systems in conjunction with the control algorithms. Nonlinear filtering techniques are… (more)

Subjects/Keywords: Artificial satellites; Monte Carlo method; Filters (Mathematics); Navigation (Aeronautics); Kalman filtering

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

APA (6th Edition):

Rososhansky, M. (2017). Nonlinear Attitude and Formation Estimation Spacecraft And Multi-Agent Systems. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A6905

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):

Rososhansky, Michael. “Nonlinear Attitude and Formation Estimation Spacecraft And Multi-Agent Systems.” 2017. Thesis, Ryerson University. Accessed December 01, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A6905.

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

MLA Handbook (7th Edition):

Rososhansky, Michael. “Nonlinear Attitude and Formation Estimation Spacecraft And Multi-Agent Systems.” 2017. Web. 01 Dec 2020.

Vancouver:

Rososhansky M. Nonlinear Attitude and Formation Estimation Spacecraft And Multi-Agent Systems. [Internet] [Thesis]. Ryerson University; 2017. [cited 2020 Dec 01]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6905.

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

Council of Science Editors:

Rososhansky M. Nonlinear Attitude and Formation Estimation Spacecraft And Multi-Agent Systems. [Thesis]. Ryerson University; 2017. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6905

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

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