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You searched for subject:(Kalman Filter). Showing records 1 – 30 of 1182 total matches.

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Delft University of Technology

1. Kranenburg, R. Kalman filter in the Real Time URBIS model:.

Degree: 2010, Delft University of Technology

 For the Rijnmond area around Rotterdam, there is a model which simulates the concentration NOx. NOx forms the basis of smog and causes trouble for… (more)

Subjects/Keywords: Kalman filter

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APA (6th Edition):

Kranenburg, R. (2010). Kalman filter in the Real Time URBIS model:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b00ac5f6-435d-464f-8ce1-92159b186953

Chicago Manual of Style (16th Edition):

Kranenburg, R. “Kalman filter in the Real Time URBIS model:.” 2010. Masters Thesis, Delft University of Technology. Accessed June 06, 2020. http://resolver.tudelft.nl/uuid:b00ac5f6-435d-464f-8ce1-92159b186953.

MLA Handbook (7th Edition):

Kranenburg, R. “Kalman filter in the Real Time URBIS model:.” 2010. Web. 06 Jun 2020.

Vancouver:

Kranenburg R. Kalman filter in the Real Time URBIS model:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2020 Jun 06]. Available from: http://resolver.tudelft.nl/uuid:b00ac5f6-435d-464f-8ce1-92159b186953.

Council of Science Editors:

Kranenburg R. Kalman filter in the Real Time URBIS model:. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:b00ac5f6-435d-464f-8ce1-92159b186953

2. Sivo, Gaetano. Validation ciel d'une commande haute performance en optique adaptative classique et multi-objet sur le démonstrateur CANARY : On-sky validation of high performance control in classical and multi-object adaptive optics on CANARY pathfinder.

Degree: Docteur es, Physique, 2013, Paris 13

L'optique adaptative (OA), qui permet de corriger en temps-réel les déformations du front d'onde induites par la turbulence atmosphérique, connaît une limitation fondamentale : l'anisoplanétisme.… (more)

Subjects/Keywords: Filtre de Kalman; Kalman filter

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APA (6th Edition):

Sivo, G. (2013). Validation ciel d'une commande haute performance en optique adaptative classique et multi-objet sur le démonstrateur CANARY : On-sky validation of high performance control in classical and multi-object adaptive optics on CANARY pathfinder. (Doctoral Dissertation). Paris 13. Retrieved from http://www.theses.fr/2013PA132052

Chicago Manual of Style (16th Edition):

Sivo, Gaetano. “Validation ciel d'une commande haute performance en optique adaptative classique et multi-objet sur le démonstrateur CANARY : On-sky validation of high performance control in classical and multi-object adaptive optics on CANARY pathfinder.” 2013. Doctoral Dissertation, Paris 13. Accessed June 06, 2020. http://www.theses.fr/2013PA132052.

MLA Handbook (7th Edition):

Sivo, Gaetano. “Validation ciel d'une commande haute performance en optique adaptative classique et multi-objet sur le démonstrateur CANARY : On-sky validation of high performance control in classical and multi-object adaptive optics on CANARY pathfinder.” 2013. Web. 06 Jun 2020.

Vancouver:

Sivo G. Validation ciel d'une commande haute performance en optique adaptative classique et multi-objet sur le démonstrateur CANARY : On-sky validation of high performance control in classical and multi-object adaptive optics on CANARY pathfinder. [Internet] [Doctoral dissertation]. Paris 13; 2013. [cited 2020 Jun 06]. Available from: http://www.theses.fr/2013PA132052.

Council of Science Editors:

Sivo G. Validation ciel d'une commande haute performance en optique adaptative classique et multi-objet sur le démonstrateur CANARY : On-sky validation of high performance control in classical and multi-object adaptive optics on CANARY pathfinder. [Doctoral Dissertation]. Paris 13; 2013. Available from: http://www.theses.fr/2013PA132052

3. Srinivasan K. Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes;.

Degree: Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes, 2014, Anna University

PID controller and linear model predictive controller are the two newlinemost popular control schemes that have been widely implemented throughout newlinethe chemical process industries for… (more)

Subjects/Keywords: Extended Kalman filter; Fuzzy Kalman filter; Neural network based Kalman filter; Unscented Kalman filter

Page 1

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APA (6th Edition):

K, S. (2014). Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/31076

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):

K, Srinivasan. “Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes;.” 2014. Thesis, Anna University. Accessed June 06, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/31076.

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

MLA Handbook (7th Edition):

K, Srinivasan. “Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes;.” 2014. Web. 06 Jun 2020.

Vancouver:

K S. Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Jun 06]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/31076.

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

Council of Science Editors:

K S. Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/31076

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

4. Watanabe, Shingo. Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data.

Degree: 2013, Texas Digital Library

 Automatic history matching methods utilize various kinds of inverse modeling techniques. In this dissertation, we examine ensemble Kalman filter as a stochastic approach for assimilating… (more)

Subjects/Keywords: ensemble Kalman Filter

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APA (6th Edition):

Watanabe, S. (2013). Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data. (Thesis). Texas Digital Library. Retrieved from http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66557

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):

Watanabe, Shingo. “Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data.” 2013. Thesis, Texas Digital Library. Accessed June 06, 2020. http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66557.

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

MLA Handbook (7th Edition):

Watanabe, Shingo. “Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data.” 2013. Web. 06 Jun 2020.

Vancouver:

Watanabe S. Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data. [Internet] [Thesis]. Texas Digital Library; 2013. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66557.

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

Council of Science Editors:

Watanabe S. Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data. [Thesis]. Texas Digital Library; 2013. Available from: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66557

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


University of Kansas

5. Lindsey, Theodore S. On the Kalman Filter and Its Variations.

Degree: MA, Mathematics, 2014, University of Kansas

 The objective of this paper is to explore the standard Kalman filter and two non-linear variations. Additionally, we will discuss the derivation of the Kalman(more)

Subjects/Keywords: Mathematics; Kalman filter

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APA (6th Edition):

Lindsey, T. S. (2014). On the Kalman Filter and Its Variations. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/14535

Chicago Manual of Style (16th Edition):

Lindsey, Theodore S. “On the Kalman Filter and Its Variations.” 2014. Masters Thesis, University of Kansas. Accessed June 06, 2020. http://hdl.handle.net/1808/14535.

MLA Handbook (7th Edition):

Lindsey, Theodore S. “On the Kalman Filter and Its Variations.” 2014. Web. 06 Jun 2020.

Vancouver:

Lindsey TS. On the Kalman Filter and Its Variations. [Internet] [Masters thesis]. University of Kansas; 2014. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/1808/14535.

Council of Science Editors:

Lindsey TS. On the Kalman Filter and Its Variations. [Masters Thesis]. University of Kansas; 2014. Available from: http://hdl.handle.net/1808/14535


University of Hawaii – Manoa

6. Gregory, Elizabeth Dimmitt. A comparison study of state estimators for a spherical pendulum.

Degree: 2016, University of Hawaii – Manoa

M.S. University of Hawaii at Manoa 2011.

In the field of spacecraft attitude determination and control, the prevailing state estimation method is the Extended Kalman(more)

Subjects/Keywords: Extended Kalman Filter

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APA (6th Edition):

Gregory, E. D. (2016). A comparison study of state estimators for a spherical pendulum. (Thesis). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/101704

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):

Gregory, Elizabeth Dimmitt. “A comparison study of state estimators for a spherical pendulum.” 2016. Thesis, University of Hawaii – Manoa. Accessed June 06, 2020. http://hdl.handle.net/10125/101704.

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

MLA Handbook (7th Edition):

Gregory, Elizabeth Dimmitt. “A comparison study of state estimators for a spherical pendulum.” 2016. Web. 06 Jun 2020.

Vancouver:

Gregory ED. A comparison study of state estimators for a spherical pendulum. [Internet] [Thesis]. University of Hawaii – Manoa; 2016. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/10125/101704.

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

Council of Science Editors:

Gregory ED. A comparison study of state estimators for a spherical pendulum. [Thesis]. University of Hawaii – Manoa; 2016. Available from: http://hdl.handle.net/10125/101704

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


Universidad de Navarra

7. [No author]. A first approach to a Simultaneous Localisation and Mapping (SLAM) solution implementing the Extended Kalman Filter for visual odometry data.

Degree: 2015, Universidad de Navarra

 This project was a done as a nal grade project to obtain the degree in communications electronics engineering from TECNUN. It was done at Vicomtech… (more)

Subjects/Keywords: SLAM; Kalman filter

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APA (6th Edition):

author], [. (2015). A first approach to a Simultaneous Localisation and Mapping (SLAM) solution implementing the Extended Kalman Filter for visual odometry data. (Thesis). Universidad de Navarra. Retrieved from http://hdl.handle.net/10171/37574

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):

author], [No. “A first approach to a Simultaneous Localisation and Mapping (SLAM) solution implementing the Extended Kalman Filter for visual odometry data. ” 2015. Thesis, Universidad de Navarra. Accessed June 06, 2020. http://hdl.handle.net/10171/37574.

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

MLA Handbook (7th Edition):

author], [No. “A first approach to a Simultaneous Localisation and Mapping (SLAM) solution implementing the Extended Kalman Filter for visual odometry data. ” 2015. Web. 06 Jun 2020.

Vancouver:

author] [. A first approach to a Simultaneous Localisation and Mapping (SLAM) solution implementing the Extended Kalman Filter for visual odometry data. [Internet] [Thesis]. Universidad de Navarra; 2015. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/10171/37574.

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

Council of Science Editors:

author] [. A first approach to a Simultaneous Localisation and Mapping (SLAM) solution implementing the Extended Kalman Filter for visual odometry data. [Thesis]. Universidad de Navarra; 2015. Available from: http://hdl.handle.net/10171/37574

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


Oregon State University

8. Yao, Zhaoda. Multi-User Massive MIMO Channel Estimation Based on Kalman Filters.

Degree: MS, Electrical and Computer Engineering, 2016, Oregon State University

 In wireless communication, channel state information (CSI) is essential for data detection. Fast fading coefficients estimation is important in order to acquire accurate CSI. Kalman(more)

Subjects/Keywords: Kalman Filter; MIMO systems

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APA (6th Edition):

Yao, Z. (2016). Multi-User Massive MIMO Channel Estimation Based on Kalman Filters. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/59870

Chicago Manual of Style (16th Edition):

Yao, Zhaoda. “Multi-User Massive MIMO Channel Estimation Based on Kalman Filters.” 2016. Masters Thesis, Oregon State University. Accessed June 06, 2020. http://hdl.handle.net/1957/59870.

MLA Handbook (7th Edition):

Yao, Zhaoda. “Multi-User Massive MIMO Channel Estimation Based on Kalman Filters.” 2016. Web. 06 Jun 2020.

Vancouver:

Yao Z. Multi-User Massive MIMO Channel Estimation Based on Kalman Filters. [Internet] [Masters thesis]. Oregon State University; 2016. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/1957/59870.

Council of Science Editors:

Yao Z. Multi-User Massive MIMO Channel Estimation Based on Kalman Filters. [Masters Thesis]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/59870


Virginia Tech

9. Keil, Elizabeth Marie. Kalman Filter Implementation to Determine Orbit and Attitude of a Satellite in a Molniya Orbit.

Degree: MS, Aerospace and Ocean Engineering, 2014, Virginia Tech

 This thesis details the development and implementation of an attitude and orbit determining Kalman filter algorithm for a satellite in a Molniya orbit. To apply… (more)

Subjects/Keywords: Attitude; Orbit; Determination; Kalman Filter

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APA (6th Edition):

Keil, E. M. (2014). Kalman Filter Implementation to Determine Orbit and Attitude of a Satellite in a Molniya Orbit. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/49102

Chicago Manual of Style (16th Edition):

Keil, Elizabeth Marie. “Kalman Filter Implementation to Determine Orbit and Attitude of a Satellite in a Molniya Orbit.” 2014. Masters Thesis, Virginia Tech. Accessed June 06, 2020. http://hdl.handle.net/10919/49102.

MLA Handbook (7th Edition):

Keil, Elizabeth Marie. “Kalman Filter Implementation to Determine Orbit and Attitude of a Satellite in a Molniya Orbit.” 2014. Web. 06 Jun 2020.

Vancouver:

Keil EM. Kalman Filter Implementation to Determine Orbit and Attitude of a Satellite in a Molniya Orbit. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/10919/49102.

Council of Science Editors:

Keil EM. Kalman Filter Implementation to Determine Orbit and Attitude of a Satellite in a Molniya Orbit. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/49102


Kansas State University

10. Zhang, Wenji. Bias analysis in mode-based Kalman filters for stochastic hybrid systems.

Degree: PhD, Department of Electrical and Computer Engineering, 2018, Kansas State University

 Stochastic hybrid system (SHS) is a class of dynamical systems that experience interaction of both discrete mode and continuous dynamics with uncertainty. State estimation for… (more)

Subjects/Keywords: Stochastic hybrid system; Kalman filter

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APA (6th Edition):

Zhang, W. (2018). Bias analysis in mode-based Kalman filters for stochastic hybrid systems. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/39275

Chicago Manual of Style (16th Edition):

Zhang, Wenji. “Bias analysis in mode-based Kalman filters for stochastic hybrid systems.” 2018. Doctoral Dissertation, Kansas State University. Accessed June 06, 2020. http://hdl.handle.net/2097/39275.

MLA Handbook (7th Edition):

Zhang, Wenji. “Bias analysis in mode-based Kalman filters for stochastic hybrid systems.” 2018. Web. 06 Jun 2020.

Vancouver:

Zhang W. Bias analysis in mode-based Kalman filters for stochastic hybrid systems. [Internet] [Doctoral dissertation]. Kansas State University; 2018. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/2097/39275.

Council of Science Editors:

Zhang W. Bias analysis in mode-based Kalman filters for stochastic hybrid systems. [Doctoral Dissertation]. Kansas State University; 2018. Available from: http://hdl.handle.net/2097/39275


Linköping University

11. Lundgren, Pär. Using Homographies for Vehicle Motion Estimation.

Degree: Automatic Control, 2015, Linköping University

  This master’s thesis describes a way to represent vehicles when tracking them through an image sequence. Vehicles are described with a state containing their… (more)

Subjects/Keywords: Tracking; Unscented Kalman filter; homographies

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APA (6th Edition):

Lundgren, P. (2015). Using Homographies for Vehicle Motion Estimation. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120000

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):

Lundgren, Pär. “Using Homographies for Vehicle Motion Estimation.” 2015. Thesis, Linköping University. Accessed June 06, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120000.

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

MLA Handbook (7th Edition):

Lundgren, Pär. “Using Homographies for Vehicle Motion Estimation.” 2015. Web. 06 Jun 2020.

Vancouver:

Lundgren P. Using Homographies for Vehicle Motion Estimation. [Internet] [Thesis]. Linköping University; 2015. [cited 2020 Jun 06]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120000.

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

Council of Science Editors:

Lundgren P. Using Homographies for Vehicle Motion Estimation. [Thesis]. Linköping University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120000

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

12. Pettersson, Hanna. Estimation and Pre-Processing of Sensor Data in Heavy Duty Vehicle Platooning.

Degree: The Institute of Technology, 2012, Linköping UniversityLinköping University

Today, a rapid development towards fuel efficient technological aids for vehicles is in progress. One step towards this is the development of platooning systems.… (more)

Subjects/Keywords: platooning; estimation; Extended Kalman Filter

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APA (6th Edition):

Pettersson, H. (2012). Estimation and Pre-Processing of Sensor Data in Heavy Duty Vehicle Platooning. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79038

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):

Pettersson, Hanna. “Estimation and Pre-Processing of Sensor Data in Heavy Duty Vehicle Platooning.” 2012. Thesis, Linköping UniversityLinköping University. Accessed June 06, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79038.

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

MLA Handbook (7th Edition):

Pettersson, Hanna. “Estimation and Pre-Processing of Sensor Data in Heavy Duty Vehicle Platooning.” 2012. Web. 06 Jun 2020.

Vancouver:

Pettersson H. Estimation and Pre-Processing of Sensor Data in Heavy Duty Vehicle Platooning. [Internet] [Thesis]. Linköping UniversityLinköping University; 2012. [cited 2020 Jun 06]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79038.

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

Council of Science Editors:

Pettersson H. Estimation and Pre-Processing of Sensor Data in Heavy Duty Vehicle Platooning. [Thesis]. Linköping UniversityLinköping University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79038

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

13. Yan, Zuohai. Road Condition Predicting with Kalman Filter for Magneto-Rheological Damper in Suspension System.

Degree: 2012, , School of Engineering

This thesis develops a new way to predict the road roughness with Kalman filter. It suggests applying the Kalman filter to predict road condition… (more)

Subjects/Keywords: Suspention System; Prediction; Kalman Filter

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APA (6th Edition):

Yan, Z. (2012). Road Condition Predicting with Kalman Filter for Magneto-Rheological Damper in Suspension System. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2106

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):

Yan, Zuohai. “Road Condition Predicting with Kalman Filter for Magneto-Rheological Damper in Suspension System.” 2012. Thesis, , School of Engineering. Accessed June 06, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2106.

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

MLA Handbook (7th Edition):

Yan, Zuohai. “Road Condition Predicting with Kalman Filter for Magneto-Rheological Damper in Suspension System.” 2012. Web. 06 Jun 2020.

Vancouver:

Yan Z. Road Condition Predicting with Kalman Filter for Magneto-Rheological Damper in Suspension System. [Internet] [Thesis]. , School of Engineering; 2012. [cited 2020 Jun 06]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2106.

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

Council of Science Editors:

Yan Z. Road Condition Predicting with Kalman Filter for Magneto-Rheological Damper in Suspension System. [Thesis]. , School of Engineering; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2106

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


University of Minnesota

14. Le, Leonardo. Constraint-Based Networked Inertial Navigation.

Degree: PhD, Aerospace Engineering and Mechanics, 2018, University of Minnesota

 Algorithms for a personal navigation system which uses a network of IMUs are developed and evaluated. To this end, a unified framework of a state… (more)

Subjects/Keywords: constrained Kalman filter; networked INS

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APA (6th Edition):

Le, L. (2018). Constraint-Based Networked Inertial Navigation. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/201687

Chicago Manual of Style (16th Edition):

Le, Leonardo. “Constraint-Based Networked Inertial Navigation.” 2018. Doctoral Dissertation, University of Minnesota. Accessed June 06, 2020. http://hdl.handle.net/11299/201687.

MLA Handbook (7th Edition):

Le, Leonardo. “Constraint-Based Networked Inertial Navigation.” 2018. Web. 06 Jun 2020.

Vancouver:

Le L. Constraint-Based Networked Inertial Navigation. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/11299/201687.

Council of Science Editors:

Le L. Constraint-Based Networked Inertial Navigation. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/201687


University of North Texas

15. Wunnava, Sashi Prabha. Kalman Filtering Approach to Optimize OFDM Data Rate.

Degree: 2011, University of North Texas

 This study is based on applying a non-linear mapping method, here the unscented Kalman filter; to estimate and optimize data rate resulting from the arrival… (more)

Subjects/Keywords: Kalman filter; data rate; OFDM

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APA (6th Edition):

Wunnava, S. P. (2011). Kalman Filtering Approach to Optimize OFDM Data Rate. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc84303/

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):

Wunnava, Sashi Prabha. “Kalman Filtering Approach to Optimize OFDM Data Rate.” 2011. Thesis, University of North Texas. Accessed June 06, 2020. https://digital.library.unt.edu/ark:/67531/metadc84303/.

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

MLA Handbook (7th Edition):

Wunnava, Sashi Prabha. “Kalman Filtering Approach to Optimize OFDM Data Rate.” 2011. Web. 06 Jun 2020.

Vancouver:

Wunnava SP. Kalman Filtering Approach to Optimize OFDM Data Rate. [Internet] [Thesis]. University of North Texas; 2011. [cited 2020 Jun 06]. Available from: https://digital.library.unt.edu/ark:/67531/metadc84303/.

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

Council of Science Editors:

Wunnava SP. Kalman Filtering Approach to Optimize OFDM Data Rate. [Thesis]. University of North Texas; 2011. Available from: https://digital.library.unt.edu/ark:/67531/metadc84303/

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


Virginia Tech

16. Jones, Philip Andrew. Techniques in Kalman Filtering for Autonomous Vehicle Navigation.

Degree: MS, Mechanical Engineering, 2015, Virginia Tech

 This thesis examines the design and implementation of the navigation solution for an autonomous ground vehicle suited with global position system (GPS) receivers, an inertial… (more)

Subjects/Keywords: Kalman Filter; Extended Kalman Filter; Navigation; IMU; GPS

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APA (6th Edition):

Jones, P. A. (2015). Techniques in Kalman Filtering for Autonomous Vehicle Navigation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78128

Chicago Manual of Style (16th Edition):

Jones, Philip Andrew. “Techniques in Kalman Filtering for Autonomous Vehicle Navigation.” 2015. Masters Thesis, Virginia Tech. Accessed June 06, 2020. http://hdl.handle.net/10919/78128.

MLA Handbook (7th Edition):

Jones, Philip Andrew. “Techniques in Kalman Filtering for Autonomous Vehicle Navigation.” 2015. Web. 06 Jun 2020.

Vancouver:

Jones PA. Techniques in Kalman Filtering for Autonomous Vehicle Navigation. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/10919/78128.

Council of Science Editors:

Jones PA. Techniques in Kalman Filtering for Autonomous Vehicle Navigation. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/78128


University of Waterloo

17. Fernandes, Keegan Aaron. Real-Time Implementation of Time-Varying Surface Prediction and Projection.

Degree: 2019, University of Waterloo

 Spatial augmented reality makes use of projectors to transform an object into a display surface. However, for time-varying, non-rigid surfaces this can prove to be… (more)

Subjects/Keywords: Controls; Projection; Cubature Kalman Filter; Extended Kalman Filter; Deformable Surfaces

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APA (6th Edition):

Fernandes, K. A. (2019). Real-Time Implementation of Time-Varying Surface Prediction and Projection. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14553

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):

Fernandes, Keegan Aaron. “Real-Time Implementation of Time-Varying Surface Prediction and Projection.” 2019. Thesis, University of Waterloo. Accessed June 06, 2020. http://hdl.handle.net/10012/14553.

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

MLA Handbook (7th Edition):

Fernandes, Keegan Aaron. “Real-Time Implementation of Time-Varying Surface Prediction and Projection.” 2019. Web. 06 Jun 2020.

Vancouver:

Fernandes KA. Real-Time Implementation of Time-Varying Surface Prediction and Projection. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/10012/14553.

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

Council of Science Editors:

Fernandes KA. Real-Time Implementation of Time-Varying Surface Prediction and Projection. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14553

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


George Mason University

18. 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 June 06, 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. 06 Jun 2020.

Vancouver:

Ravichandran S. Comparison of Di erent Kalman Filters for Application to Mobile Robotics . [Internet] [Thesis]. George Mason University; 2014. [cited 2020 Jun 06]. 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


Dalhousie University

19. Lele, Meenal Anand. EVALUATION OF SOLID STATE ACCELEROMETER SENSOR FOR EFFECTIVE POSITION ESTIMATION.

Degree: Master of Applied Science, Department of Electrical & Computer Engineering, 2010, Dalhousie University

 Inertial sensors such as Gyroscope and Accelerometer show systematic as well as random errors in the measurement. Furthermore, double integration method shows accumulation of error… (more)

Subjects/Keywords: MOBILE ROBOTICS; KALMAN FILTER; POSITION ESTIMATION

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

APA (6th Edition):

Lele, M. A. (2010). EVALUATION OF SOLID STATE ACCELEROMETER SENSOR FOR EFFECTIVE POSITION ESTIMATION. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/13128

Chicago Manual of Style (16th Edition):

Lele, Meenal Anand. “EVALUATION OF SOLID STATE ACCELEROMETER SENSOR FOR EFFECTIVE POSITION ESTIMATION.” 2010. Masters Thesis, Dalhousie University. Accessed June 06, 2020. http://hdl.handle.net/10222/13128.

MLA Handbook (7th Edition):

Lele, Meenal Anand. “EVALUATION OF SOLID STATE ACCELEROMETER SENSOR FOR EFFECTIVE POSITION ESTIMATION.” 2010. Web. 06 Jun 2020.

Vancouver:

Lele MA. EVALUATION OF SOLID STATE ACCELEROMETER SENSOR FOR EFFECTIVE POSITION ESTIMATION. [Internet] [Masters thesis]. Dalhousie University; 2010. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/10222/13128.

Council of Science Editors:

Lele MA. EVALUATION OF SOLID STATE ACCELEROMETER SENSOR FOR EFFECTIVE POSITION ESTIMATION. [Masters Thesis]. Dalhousie University; 2010. Available from: http://hdl.handle.net/10222/13128


Penn State University

20. Mangus, Anthony Joseph. Robust Vehicle Localization using GPS, In-Vehicle Camera, Magnetic Guidance and Kalman Filtering.

Degree: MS, Mechanical Engineering, 2013, Penn State University

 This research focuses on reducing the effect of sensor faults and noise on the lateral vehicle estimation problem. The lateral estimation algorithm aims to localize… (more)

Subjects/Keywords: Kalman Filter; Vehicle Localization; Estimation; GPS

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

APA (6th Edition):

Mangus, A. J. (2013). Robust Vehicle Localization using GPS, In-Vehicle Camera, Magnetic Guidance and Kalman Filtering. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/19863

Chicago Manual of Style (16th Edition):

Mangus, Anthony Joseph. “Robust Vehicle Localization using GPS, In-Vehicle Camera, Magnetic Guidance and Kalman Filtering.” 2013. Masters Thesis, Penn State University. Accessed June 06, 2020. https://etda.libraries.psu.edu/catalog/19863.

MLA Handbook (7th Edition):

Mangus, Anthony Joseph. “Robust Vehicle Localization using GPS, In-Vehicle Camera, Magnetic Guidance and Kalman Filtering.” 2013. Web. 06 Jun 2020.

Vancouver:

Mangus AJ. Robust Vehicle Localization using GPS, In-Vehicle Camera, Magnetic Guidance and Kalman Filtering. [Internet] [Masters thesis]. Penn State University; 2013. [cited 2020 Jun 06]. Available from: https://etda.libraries.psu.edu/catalog/19863.

Council of Science Editors:

Mangus AJ. Robust Vehicle Localization using GPS, In-Vehicle Camera, Magnetic Guidance and Kalman Filtering. [Masters Thesis]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/19863


Penn State University

21. Chaves, Stephen Marc. Using Kalman Filtering to Improve a Low-Cost GPS-Based Collision Warning System for Vehicle Convoys.

Degree: MS, Mechanical Engineering, 2010, Penn State University

 This thesis addresses the concern of rear-end collisions in vehicle convoys, specifically in military applications. The goal of this thesis is to provide a framework… (more)

Subjects/Keywords: Kalman filter; collision warning; GPS; vehicle convoys

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

APA (6th Edition):

Chaves, S. M. (2010). Using Kalman Filtering to Improve a Low-Cost GPS-Based Collision Warning System for Vehicle Convoys. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10780

Chicago Manual of Style (16th Edition):

Chaves, Stephen Marc. “Using Kalman Filtering to Improve a Low-Cost GPS-Based Collision Warning System for Vehicle Convoys.” 2010. Masters Thesis, Penn State University. Accessed June 06, 2020. https://etda.libraries.psu.edu/catalog/10780.

MLA Handbook (7th Edition):

Chaves, Stephen Marc. “Using Kalman Filtering to Improve a Low-Cost GPS-Based Collision Warning System for Vehicle Convoys.” 2010. Web. 06 Jun 2020.

Vancouver:

Chaves SM. Using Kalman Filtering to Improve a Low-Cost GPS-Based Collision Warning System for Vehicle Convoys. [Internet] [Masters thesis]. Penn State University; 2010. [cited 2020 Jun 06]. Available from: https://etda.libraries.psu.edu/catalog/10780.

Council of Science Editors:

Chaves SM. Using Kalman Filtering to Improve a Low-Cost GPS-Based Collision Warning System for Vehicle Convoys. [Masters Thesis]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/10780


University of California – Berkeley

22. Corso, Nicholas Giovanni. Sensor Fusion and Online Calibration of an Ambulatory Backpack System for Indoor Mobile Mapping.

Degree: Electrical Engineering & Computer Sciences, 2016, University of California – Berkeley

 GPS-denied indoor mobile mapping has been an active area of research for many years. With applications such as historical preservation, entertainment, and augmented reality, the… (more)

Subjects/Keywords: Robotics; Engineering; Estimation; Kalman Filter; SLAM

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APA (6th Edition):

Corso, N. G. (2016). Sensor Fusion and Online Calibration of an Ambulatory Backpack System for Indoor Mobile Mapping. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/7z61d7db

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):

Corso, Nicholas Giovanni. “Sensor Fusion and Online Calibration of an Ambulatory Backpack System for Indoor Mobile Mapping.” 2016. Thesis, University of California – Berkeley. Accessed June 06, 2020. http://www.escholarship.org/uc/item/7z61d7db.

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

MLA Handbook (7th Edition):

Corso, Nicholas Giovanni. “Sensor Fusion and Online Calibration of an Ambulatory Backpack System for Indoor Mobile Mapping.” 2016. Web. 06 Jun 2020.

Vancouver:

Corso NG. Sensor Fusion and Online Calibration of an Ambulatory Backpack System for Indoor Mobile Mapping. [Internet] [Thesis]. University of California – Berkeley; 2016. [cited 2020 Jun 06]. Available from: http://www.escholarship.org/uc/item/7z61d7db.

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

Council of Science Editors:

Corso NG. Sensor Fusion and Online Calibration of an Ambulatory Backpack System for Indoor Mobile Mapping. [Thesis]. University of California – Berkeley; 2016. Available from: http://www.escholarship.org/uc/item/7z61d7db

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


University of Alberta

23. Sekhavat, Masih. Real-Time Updating of a Dynamic Fundamental Model for Froth Flotation Process.

Degree: MS, Department of Chemical and Materials Engineering, 2014, University of Alberta

 Froth flotation is one of the most common methods in the mineral industry for selective extraction of a small fraction of desired mineral from a… (more)

Subjects/Keywords: Dynamic Modelling; Extended Kalman Filter; Froth Flotation

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APA (6th Edition):

Sekhavat, M. (2014). Real-Time Updating of a Dynamic Fundamental Model for Froth Flotation Process. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/79407x444

Chicago Manual of Style (16th Edition):

Sekhavat, Masih. “Real-Time Updating of a Dynamic Fundamental Model for Froth Flotation Process.” 2014. Masters Thesis, University of Alberta. Accessed June 06, 2020. https://era.library.ualberta.ca/files/79407x444.

MLA Handbook (7th Edition):

Sekhavat, Masih. “Real-Time Updating of a Dynamic Fundamental Model for Froth Flotation Process.” 2014. Web. 06 Jun 2020.

Vancouver:

Sekhavat M. Real-Time Updating of a Dynamic Fundamental Model for Froth Flotation Process. [Internet] [Masters thesis]. University of Alberta; 2014. [cited 2020 Jun 06]. Available from: https://era.library.ualberta.ca/files/79407x444.

Council of Science Editors:

Sekhavat M. Real-Time Updating of a Dynamic Fundamental Model for Froth Flotation Process. [Masters Thesis]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/79407x444


Texas A&M University

24. Odi, Uchenna O. Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty.

Degree: 2011, Texas A&M University

 The advent of smart well technology, which is the use of down hole sensors to adjust well controls (i.e. injection rate, bottomhole pressure, etc.), has… (more)

Subjects/Keywords: Surfactant flooding; Optimization; Ensemble Kalman Filter; Uncertainty

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APA (6th Edition):

Odi, U. O. (2011). Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7569

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):

Odi, Uchenna O. “Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty.” 2011. Thesis, Texas A&M University. Accessed June 06, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7569.

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

MLA Handbook (7th Edition):

Odi, Uchenna O. “Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty.” 2011. Web. 06 Jun 2020.

Vancouver:

Odi UO. Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7569.

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

Council of Science Editors:

Odi UO. Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7569

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


Texas A&M University

25. Roh, Soojin. Robust Ensemble Kalman Filters and Localization for Multiple State Variables.

Degree: 2014, Texas A&M University

 Ensemble Kalman filters (EnKF) is a statistical technique used to estimate the state of a nonlinear spatio-temporal dynamical system. This dissertation consists of three parts.… (more)

Subjects/Keywords: Ensemble Kalman filter; Robust; Multivariate Localization

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APA (6th Edition):

Roh, S. (2014). Robust Ensemble Kalman Filters and Localization for Multiple State Variables. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153268

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):

Roh, Soojin. “Robust Ensemble Kalman Filters and Localization for Multiple State Variables.” 2014. Thesis, Texas A&M University. Accessed June 06, 2020. http://hdl.handle.net/1969.1/153268.

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

MLA Handbook (7th Edition):

Roh, Soojin. “Robust Ensemble Kalman Filters and Localization for Multiple State Variables.” 2014. Web. 06 Jun 2020.

Vancouver:

Roh S. Robust Ensemble Kalman Filters and Localization for Multiple State Variables. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/1969.1/153268.

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

Council of Science Editors:

Roh S. Robust Ensemble Kalman Filters and Localization for Multiple State Variables. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153268

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


Lehigh University

26. Liang, Wenjing. Attitude Estimation of Quadcopter through Extended Kalman Filter.

Degree: MS, Mechanical Engineering, 2017, Lehigh University

 The aim of this paper is to estimate the attitude of the quadcopter using the sensors: 3-axesaccelerometer, 3-axes gyroscope, 2-axes compass.At first I introduce some… (more)

Subjects/Keywords: Extended Kalman Filter; Quadcopter; Engineering; Mechanical Engineering

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APA (6th Edition):

Liang, W. (2017). Attitude Estimation of Quadcopter through Extended Kalman Filter. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2685

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):

Liang, Wenjing. “Attitude Estimation of Quadcopter through Extended Kalman Filter.” 2017. Thesis, Lehigh University. Accessed June 06, 2020. https://preserve.lehigh.edu/etd/2685.

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

MLA Handbook (7th Edition):

Liang, Wenjing. “Attitude Estimation of Quadcopter through Extended Kalman Filter.” 2017. Web. 06 Jun 2020.

Vancouver:

Liang W. Attitude Estimation of Quadcopter through Extended Kalman Filter. [Internet] [Thesis]. Lehigh University; 2017. [cited 2020 Jun 06]. Available from: https://preserve.lehigh.edu/etd/2685.

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

Council of Science Editors:

Liang W. Attitude Estimation of Quadcopter through Extended Kalman Filter. [Thesis]. Lehigh University; 2017. Available from: https://preserve.lehigh.edu/etd/2685

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


University of Newcastle

27. Nicklin, Steven Paul. Multiple hypothesis methods for robot self localisation.

Degree: PhD, 2014, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

The goal of the localisation system on a robot is to determine the location of that robot within… (more)

Subjects/Keywords: robotics; localisation; Kalman filter; multiple hypothesis; RoboCup

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APA (6th Edition):

Nicklin, S. P. (2014). Multiple hypothesis methods for robot self localisation. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1045196

Chicago Manual of Style (16th Edition):

Nicklin, Steven Paul. “Multiple hypothesis methods for robot self localisation.” 2014. Doctoral Dissertation, University of Newcastle. Accessed June 06, 2020. http://hdl.handle.net/1959.13/1045196.

MLA Handbook (7th Edition):

Nicklin, Steven Paul. “Multiple hypothesis methods for robot self localisation.” 2014. Web. 06 Jun 2020.

Vancouver:

Nicklin SP. Multiple hypothesis methods for robot self localisation. [Internet] [Doctoral dissertation]. University of Newcastle; 2014. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/1959.13/1045196.

Council of Science Editors:

Nicklin SP. Multiple hypothesis methods for robot self localisation. [Doctoral Dissertation]. University of Newcastle; 2014. Available from: http://hdl.handle.net/1959.13/1045196


Texas A&M University

28. Sung, Kookjin. A Real-time Motion Detection with Differential Images and Tracking with Mean-Shift and Kalman Filter.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

 The main techniques of computer vision that can be helpful to surveillance system are detection and tracking. This thesis proposes a real-time motion detection and… (more)

Subjects/Keywords: Detection; Tracking; Mean-Shift; Kalman filter

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APA (6th Edition):

Sung, K. (2017). A Real-time Motion Detection with Differential Images and Tracking with Mean-Shift and Kalman Filter. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166042

Chicago Manual of Style (16th Edition):

Sung, Kookjin. “A Real-time Motion Detection with Differential Images and Tracking with Mean-Shift and Kalman Filter.” 2017. Masters Thesis, Texas A&M University. Accessed June 06, 2020. http://hdl.handle.net/1969.1/166042.

MLA Handbook (7th Edition):

Sung, Kookjin. “A Real-time Motion Detection with Differential Images and Tracking with Mean-Shift and Kalman Filter.” 2017. Web. 06 Jun 2020.

Vancouver:

Sung K. A Real-time Motion Detection with Differential Images and Tracking with Mean-Shift and Kalman Filter. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/1969.1/166042.

Council of Science Editors:

Sung K. A Real-time Motion Detection with Differential Images and Tracking with Mean-Shift and Kalman Filter. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166042


Ruhr Universität Bochum

29. Malik, Sarmad. Bayesian learning of linear and nonlinear acoustic system models in hands-free communication.

Degree: 2012, Ruhr Universität Bochum

 In dieser Arbeit werden einkanalige und mehrkanalige Darstellungen für lineare akustische Systeme sowie pseudo- mehrkanalige und Kaskadenmodelle für die einkanalige nichtlineare akustische Echokompensation im Frequenzbereich… (more)

Subjects/Keywords: Echokompensation; Kalman-Filter; Bayes Verfahren; Variationsrechnung; Echosperre

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APA (6th Edition):

Malik, S. (2012). Bayesian learning of linear and nonlinear acoustic system models in hands-free communication. (Thesis). Ruhr Universität Bochum. Retrieved from http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-35648

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):

Malik, Sarmad. “Bayesian learning of linear and nonlinear acoustic system models in hands-free communication.” 2012. Thesis, Ruhr Universität Bochum. Accessed June 06, 2020. http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-35648.

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

MLA Handbook (7th Edition):

Malik, Sarmad. “Bayesian learning of linear and nonlinear acoustic system models in hands-free communication.” 2012. Web. 06 Jun 2020.

Vancouver:

Malik S. Bayesian learning of linear and nonlinear acoustic system models in hands-free communication. [Internet] [Thesis]. Ruhr Universität Bochum; 2012. [cited 2020 Jun 06]. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-35648.

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

Council of Science Editors:

Malik S. Bayesian learning of linear and nonlinear acoustic system models in hands-free communication. [Thesis]. Ruhr Universität Bochum; 2012. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-35648

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


NSYSU

30. Shiu, Jia-yu. Dual-IMM System for Target Tracking and Data Fusion.

Degree: Master, Electrical Engineering, 2009, NSYSU

 In solving target tracking problems, the Kalman filter (KF) is one of the most widely used estimators. Whether the state of target movement adapts to… (more)

Subjects/Keywords: data fusion; Kalman filter; target tracking; IMM

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

APA (6th Edition):

Shiu, J. (2009). Dual-IMM System for Target Tracking and Data Fusion. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830109-170446

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):

Shiu, Jia-yu. “Dual-IMM System for Target Tracking and Data Fusion.” 2009. Thesis, NSYSU. Accessed June 06, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830109-170446.

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

MLA Handbook (7th Edition):

Shiu, Jia-yu. “Dual-IMM System for Target Tracking and Data Fusion.” 2009. Web. 06 Jun 2020.

Vancouver:

Shiu J. Dual-IMM System for Target Tracking and Data Fusion. [Internet] [Thesis]. NSYSU; 2009. [cited 2020 Jun 06]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830109-170446.

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

Council of Science Editors:

Shiu J. Dual-IMM System for Target Tracking and Data Fusion. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830109-170446

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

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