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You searched for subject:(Sparse estimation). Showing records 1 – 30 of 74 total matches.

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Northeastern University

1. Tadayon, Amir. Channel estimation for OFDM systems.

Degree: MS, Department of Electrical and Computer Engineering, 2016, Northeastern University

 This thesis focuses on advanced signal processing techniques for multicarrier modulation, in partic- ular, orthogonal frequency division multiplexing (OFDM). OFDM promises a substantial increase in… (more)

Subjects/Keywords: channel estimation; OFDM; sparse identification

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APA (6th Edition):

Tadayon, A. (2016). Channel estimation for OFDM systems. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20239551

Chicago Manual of Style (16th Edition):

Tadayon, Amir. “Channel estimation for OFDM systems.” 2016. Masters Thesis, Northeastern University. Accessed September 30, 2020. http://hdl.handle.net/2047/D20239551.

MLA Handbook (7th Edition):

Tadayon, Amir. “Channel estimation for OFDM systems.” 2016. Web. 30 Sep 2020.

Vancouver:

Tadayon A. Channel estimation for OFDM systems. [Internet] [Masters thesis]. Northeastern University; 2016. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/2047/D20239551.

Council of Science Editors:

Tadayon A. Channel estimation for OFDM systems. [Masters Thesis]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20239551


Cornell University

2. Sharp, Matthew. Pilot Signal Design For Estimation Of Sparse Channels With Application To Cooperative Systems.

Degree: PhD, Electrical Engineering, 2011, Cornell University

 In recent years, there has been a resurgence in the interest of using HF radio band (3-30 MHz) for military, government, and emergency applications. In… (more)

Subjects/Keywords: Channel Estimation; Cooperative Communication; Sparse Signal Recovery

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APA (6th Edition):

Sharp, M. (2011). Pilot Signal Design For Estimation Of Sparse Channels With Application To Cooperative Systems. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/33575

Chicago Manual of Style (16th Edition):

Sharp, Matthew. “Pilot Signal Design For Estimation Of Sparse Channels With Application To Cooperative Systems.” 2011. Doctoral Dissertation, Cornell University. Accessed September 30, 2020. http://hdl.handle.net/1813/33575.

MLA Handbook (7th Edition):

Sharp, Matthew. “Pilot Signal Design For Estimation Of Sparse Channels With Application To Cooperative Systems.” 2011. Web. 30 Sep 2020.

Vancouver:

Sharp M. Pilot Signal Design For Estimation Of Sparse Channels With Application To Cooperative Systems. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/1813/33575.

Council of Science Editors:

Sharp M. Pilot Signal Design For Estimation Of Sparse Channels With Application To Cooperative Systems. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/33575


Virginia Tech

3. Kang, Xiaoning. Contributions to Large Covariance and Inverse Covariance Matrices Estimation.

Degree: PhD, Statistics, 2016, Virginia Tech

Estimation of covariance matrix and its inverse is of great importance in multivariate statistics with broad applications such as dimension reduction, portfolio optimization, linear discriminant… (more)

Subjects/Keywords: Covariance matrix; modified Cholesky decomposition; sparse estimation

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APA (6th Edition):

Kang, X. (2016). Contributions to Large Covariance and Inverse Covariance Matrices Estimation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82150

Chicago Manual of Style (16th Edition):

Kang, Xiaoning. “Contributions to Large Covariance and Inverse Covariance Matrices Estimation.” 2016. Doctoral Dissertation, Virginia Tech. Accessed September 30, 2020. http://hdl.handle.net/10919/82150.

MLA Handbook (7th Edition):

Kang, Xiaoning. “Contributions to Large Covariance and Inverse Covariance Matrices Estimation.” 2016. Web. 30 Sep 2020.

Vancouver:

Kang X. Contributions to Large Covariance and Inverse Covariance Matrices Estimation. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10919/82150.

Council of Science Editors:

Kang X. Contributions to Large Covariance and Inverse Covariance Matrices Estimation. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/82150


INP Toulouse

4. Lesouple, Julien. Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS.

Degree: Docteur es, Informatique et Télécommunication, 2019, INP Toulouse

L’évolution des technologies électroniques (miniaturisation, diminution des coûts) a permis aux GNSS (systèmes de navigation par satellites) d’être de plus en plus accessibles et doncutilisés… (more)

Subjects/Keywords: Gnss; Navigation; Estimation parcimonieuse; Estimation bayésienne; Multitrajets; Gnss; Navigation; Sparse estimation; Bayesian estimation; Multipth

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APA (6th Edition):

Lesouple, J. (2019). Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2019INPT0020

Chicago Manual of Style (16th Edition):

Lesouple, Julien. “Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS.” 2019. Doctoral Dissertation, INP Toulouse. Accessed September 30, 2020. http://www.theses.fr/2019INPT0020.

MLA Handbook (7th Edition):

Lesouple, Julien. “Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS.” 2019. Web. 30 Sep 2020.

Vancouver:

Lesouple J. Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS. [Internet] [Doctoral dissertation]. INP Toulouse; 2019. [cited 2020 Sep 30]. Available from: http://www.theses.fr/2019INPT0020.

Council of Science Editors:

Lesouple J. Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS. [Doctoral Dissertation]. INP Toulouse; 2019. Available from: http://www.theses.fr/2019INPT0020


Oklahoma State University

5. Mamun, S. M. Abdullah Al. Data-driven sparse estimation of nonlinear fluid flows.

Degree: Mechanical and Aerospace Engineering, 2020, Oklahoma State University

Estimation of full state fluid flow from limited observations is central for many practical applications in physics and engineering science. Fluid flows are manifestations of… (more)

Subjects/Keywords: deep neural network; latin hypercube sampling; linear estimation; nonlinear estimation; pod; sparse estimation

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APA (6th Edition):

Mamun, S. M. A. A. (2020). Data-driven sparse estimation of nonlinear fluid flows. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/325505

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):

Mamun, S M Abdullah Al. “Data-driven sparse estimation of nonlinear fluid flows.” 2020. Thesis, Oklahoma State University. Accessed September 30, 2020. http://hdl.handle.net/11244/325505.

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

MLA Handbook (7th Edition):

Mamun, S M Abdullah Al. “Data-driven sparse estimation of nonlinear fluid flows.” 2020. Web. 30 Sep 2020.

Vancouver:

Mamun SMAA. Data-driven sparse estimation of nonlinear fluid flows. [Internet] [Thesis]. Oklahoma State University; 2020. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/11244/325505.

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

Council of Science Editors:

Mamun SMAA. Data-driven sparse estimation of nonlinear fluid flows. [Thesis]. Oklahoma State University; 2020. Available from: http://hdl.handle.net/11244/325505

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

6. Crespo Marques, Elaine. Sparse channels estimation applied in software defined radio : Estimation de canaux parcimonieux pour la radio logicielle.

Degree: Docteur es, Information, communications, électronique, 2019, Institut polytechnique de Paris

Les canaux de communication sont utilisés pour transmettre des signaux d'information. Cependant, ces canaux peuvent causer plusieurs distorsions sur le signal à transmettre, telles que… (more)

Subjects/Keywords: Acquisition comprimée; Réseau neuronal; Estimation des canaux parcimonieux; Compressive sensing; Neural network; Sparse channel estimation

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APA (6th Edition):

Crespo Marques, E. (2019). Sparse channels estimation applied in software defined radio : Estimation de canaux parcimonieux pour la radio logicielle. (Doctoral Dissertation). Institut polytechnique de Paris. Retrieved from http://www.theses.fr/2019IPPAT004

Chicago Manual of Style (16th Edition):

Crespo Marques, Elaine. “Sparse channels estimation applied in software defined radio : Estimation de canaux parcimonieux pour la radio logicielle.” 2019. Doctoral Dissertation, Institut polytechnique de Paris. Accessed September 30, 2020. http://www.theses.fr/2019IPPAT004.

MLA Handbook (7th Edition):

Crespo Marques, Elaine. “Sparse channels estimation applied in software defined radio : Estimation de canaux parcimonieux pour la radio logicielle.” 2019. Web. 30 Sep 2020.

Vancouver:

Crespo Marques E. Sparse channels estimation applied in software defined radio : Estimation de canaux parcimonieux pour la radio logicielle. [Internet] [Doctoral dissertation]. Institut polytechnique de Paris; 2019. [cited 2020 Sep 30]. Available from: http://www.theses.fr/2019IPPAT004.

Council of Science Editors:

Crespo Marques E. Sparse channels estimation applied in software defined radio : Estimation de canaux parcimonieux pour la radio logicielle. [Doctoral Dissertation]. Institut polytechnique de Paris; 2019. Available from: http://www.theses.fr/2019IPPAT004


Mississippi State University

7. Jia, Bin. THE SPARSE-GRID BASED NONLINEAR FILTER: THEORY AND APPLICATIONS.

Degree: PhD, Aerospace Engineering, 2012, Mississippi State University

  Filtering or estimation is of great importance to virtually all disciplines of engineering and science that need inference, learning, information fusion, and knowledge discovery… (more)

Subjects/Keywords: Numerical Integral; Estimation; Navigation; Bayesian nonlinear filtering; Sparse-grid

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APA (6th Edition):

Jia, B. (2012). THE SPARSE-GRID BASED NONLINEAR FILTER: THEORY AND APPLICATIONS. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-03012012-152723/ ;

Chicago Manual of Style (16th Edition):

Jia, Bin. “THE SPARSE-GRID BASED NONLINEAR FILTER: THEORY AND APPLICATIONS.” 2012. Doctoral Dissertation, Mississippi State University. Accessed September 30, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-03012012-152723/ ;.

MLA Handbook (7th Edition):

Jia, Bin. “THE SPARSE-GRID BASED NONLINEAR FILTER: THEORY AND APPLICATIONS.” 2012. Web. 30 Sep 2020.

Vancouver:

Jia B. THE SPARSE-GRID BASED NONLINEAR FILTER: THEORY AND APPLICATIONS. [Internet] [Doctoral dissertation]. Mississippi State University; 2012. [cited 2020 Sep 30]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03012012-152723/ ;.

Council of Science Editors:

Jia B. THE SPARSE-GRID BASED NONLINEAR FILTER: THEORY AND APPLICATIONS. [Doctoral Dissertation]. Mississippi State University; 2012. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03012012-152723/ ;

8. Bengtsson, Morgan. Indoor 3D Mapping using Kinect.

Degree: The Institute of Technology, 2014, Linköping UniversityLinköping University

In recent years several depth cameras have emerged on the consumer market, creating many interesting possibilities forboth professional and recreational usage. One example of… (more)

Subjects/Keywords: Kinect; mapping; sparse voxel octree; signed distance function; pose estimation

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APA (6th Edition):

Bengtsson, M. (2014). Indoor 3D Mapping using Kinect. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-106145

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):

Bengtsson, Morgan. “Indoor 3D Mapping using Kinect.” 2014. Thesis, Linköping UniversityLinköping University. Accessed September 30, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-106145.

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

MLA Handbook (7th Edition):

Bengtsson, Morgan. “Indoor 3D Mapping using Kinect.” 2014. Web. 30 Sep 2020.

Vancouver:

Bengtsson M. Indoor 3D Mapping using Kinect. [Internet] [Thesis]. Linköping UniversityLinköping University; 2014. [cited 2020 Sep 30]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-106145.

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

Council of Science Editors:

Bengtsson M. Indoor 3D Mapping using Kinect. [Thesis]. Linköping UniversityLinköping University; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-106145

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


Colorado State University

9. Zahedi, Ramin. Compressive measurement design for detection and estimation of sparse signals.

Degree: PhD, Electrical and Computer Engineering, 2013, Colorado State University

 We study the problem of designing compressive measurement matrices for two sets of problems. In the first set, we consider the problem of adaptively designing… (more)

Subjects/Keywords: compressed sensing; dynamic programming; partially observable markov decision processes; Q-learning; sparse signal detection; sparse signal estimation

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APA (6th Edition):

Zahedi, R. (2013). Compressive measurement design for detection and estimation of sparse signals. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/80995

Chicago Manual of Style (16th Edition):

Zahedi, Ramin. “Compressive measurement design for detection and estimation of sparse signals.” 2013. Doctoral Dissertation, Colorado State University. Accessed September 30, 2020. http://hdl.handle.net/10217/80995.

MLA Handbook (7th Edition):

Zahedi, Ramin. “Compressive measurement design for detection and estimation of sparse signals.” 2013. Web. 30 Sep 2020.

Vancouver:

Zahedi R. Compressive measurement design for detection and estimation of sparse signals. [Internet] [Doctoral dissertation]. Colorado State University; 2013. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10217/80995.

Council of Science Editors:

Zahedi R. Compressive measurement design for detection and estimation of sparse signals. [Doctoral Dissertation]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/80995


University of California – Irvine

10. Long, Xiaolong. Constructing sparse and fast mean reverting portfolios.

Degree: Mathematics, 2014, University of California – Irvine

 We study the problem of constructing sparse and fast mean reverting portfolios based on a set of financial data arising in convergence trading. The problem… (more)

Subjects/Keywords: Applied mathematics; Finance; Convergence trading; l_1 and l_2 norms; Mean Reversion; Sparse estimation

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APA (6th Edition):

Long, X. (2014). Constructing sparse and fast mean reverting portfolios. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/66t0n3qj

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):

Long, Xiaolong. “Constructing sparse and fast mean reverting portfolios.” 2014. Thesis, University of California – Irvine. Accessed September 30, 2020. http://www.escholarship.org/uc/item/66t0n3qj.

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

MLA Handbook (7th Edition):

Long, Xiaolong. “Constructing sparse and fast mean reverting portfolios.” 2014. Web. 30 Sep 2020.

Vancouver:

Long X. Constructing sparse and fast mean reverting portfolios. [Internet] [Thesis]. University of California – Irvine; 2014. [cited 2020 Sep 30]. Available from: http://www.escholarship.org/uc/item/66t0n3qj.

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

Council of Science Editors:

Long X. Constructing sparse and fast mean reverting portfolios. [Thesis]. University of California – Irvine; 2014. Available from: http://www.escholarship.org/uc/item/66t0n3qj

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


Penn State University

11. Kolli, Purna Chand. Post-earthquake collapse prognostication of structural systems using sparse response data.

Degree: 2015, Penn State University

 In order to reduce the impact of major earthquakes on communities, a rapid assessment of the state of structural systems for the purpose of re-occupancy… (more)

Subjects/Keywords: Collapse prognostication; sparse response data; genetic algorithms; parameter estimation; nonlinear structural systems

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APA (6th Edition):

Kolli, P. C. (2015). Post-earthquake collapse prognostication of structural systems using sparse response data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/27407

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):

Kolli, Purna Chand. “Post-earthquake collapse prognostication of structural systems using sparse response data.” 2015. Thesis, Penn State University. Accessed September 30, 2020. https://submit-etda.libraries.psu.edu/catalog/27407.

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

MLA Handbook (7th Edition):

Kolli, Purna Chand. “Post-earthquake collapse prognostication of structural systems using sparse response data.” 2015. Web. 30 Sep 2020.

Vancouver:

Kolli PC. Post-earthquake collapse prognostication of structural systems using sparse response data. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Sep 30]. Available from: https://submit-etda.libraries.psu.edu/catalog/27407.

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

Council of Science Editors:

Kolli PC. Post-earthquake collapse prognostication of structural systems using sparse response data. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/27407

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


University of Sydney

12. Thompson, Paul Robert. A novel augmented graph approach for estimation in localisation and mapping .

Degree: 2009, University of Sydney

 This thesis proposes the use of the augmented system form - a generalisation of the information form representing both observations and states. In conjunction with… (more)

Subjects/Keywords: Mapping; Localisation; Estimation; Graph; Sparse Systems

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APA (6th Edition):

Thompson, P. R. (2009). A novel augmented graph approach for estimation in localisation and mapping . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/5762

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):

Thompson, Paul Robert. “A novel augmented graph approach for estimation in localisation and mapping .” 2009. Thesis, University of Sydney. Accessed September 30, 2020. http://hdl.handle.net/2123/5762.

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

MLA Handbook (7th Edition):

Thompson, Paul Robert. “A novel augmented graph approach for estimation in localisation and mapping .” 2009. Web. 30 Sep 2020.

Vancouver:

Thompson PR. A novel augmented graph approach for estimation in localisation and mapping . [Internet] [Thesis]. University of Sydney; 2009. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/2123/5762.

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

Council of Science Editors:

Thompson PR. A novel augmented graph approach for estimation in localisation and mapping . [Thesis]. University of Sydney; 2009. Available from: http://hdl.handle.net/2123/5762

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


University of Minnesota

13. Yang, Jie. Adaptive filter design for sparse signal estimation.

Degree: PhD, Electrical Engineering, 2011, University of Minnesota

 Recently, sparse signal estimation has become an increasingly important research area in signal processing due to its wide range of applications. Efficient adaptive algorithms have… (more)

Subjects/Keywords: Adaptive filter; Digital pre-distortion; Echo cancellation; Signal processing; Sparse signal estimation; Electrical Engineering

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APA (6th Edition):

Yang, J. (2011). Adaptive filter design for sparse signal estimation. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/120069

Chicago Manual of Style (16th Edition):

Yang, Jie. “Adaptive filter design for sparse signal estimation.” 2011. Doctoral Dissertation, University of Minnesota. Accessed September 30, 2020. http://purl.umn.edu/120069.

MLA Handbook (7th Edition):

Yang, Jie. “Adaptive filter design for sparse signal estimation.” 2011. Web. 30 Sep 2020.

Vancouver:

Yang J. Adaptive filter design for sparse signal estimation. [Internet] [Doctoral dissertation]. University of Minnesota; 2011. [cited 2020 Sep 30]. Available from: http://purl.umn.edu/120069.

Council of Science Editors:

Yang J. Adaptive filter design for sparse signal estimation. [Doctoral Dissertation]. University of Minnesota; 2011. Available from: http://purl.umn.edu/120069


University of California – Irvine

14. Keator, David Bryant. Probabilistic Models for Brain Image Collection, Classication, and Functional Connectivity.

Degree: Computer Science, 2015, University of California – Irvine

 The use of functional neuroimaging to evaluate brain disorders has become pervasive in the scientific community. The technique provides researchers with a means to evaluate… (more)

Subjects/Keywords: Computer science; Medical imaging and radiology; classification; functional connectivity; molecular imaging; position profile estimation; probabilistic graphical models; Sparse inverse covariance estimation

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APA (6th Edition):

Keator, D. B. (2015). Probabilistic Models for Brain Image Collection, Classication, and Functional Connectivity. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/0k23r2j9

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):

Keator, David Bryant. “Probabilistic Models for Brain Image Collection, Classication, and Functional Connectivity.” 2015. Thesis, University of California – Irvine. Accessed September 30, 2020. http://www.escholarship.org/uc/item/0k23r2j9.

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

MLA Handbook (7th Edition):

Keator, David Bryant. “Probabilistic Models for Brain Image Collection, Classication, and Functional Connectivity.” 2015. Web. 30 Sep 2020.

Vancouver:

Keator DB. Probabilistic Models for Brain Image Collection, Classication, and Functional Connectivity. [Internet] [Thesis]. University of California – Irvine; 2015. [cited 2020 Sep 30]. Available from: http://www.escholarship.org/uc/item/0k23r2j9.

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

Council of Science Editors:

Keator DB. Probabilistic Models for Brain Image Collection, Classication, and Functional Connectivity. [Thesis]. University of California – Irvine; 2015. Available from: http://www.escholarship.org/uc/item/0k23r2j9

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


University of Arkansas

15. Wang, Zuoen. Energy-aware Sparse Sensing of Spatial-temporally Correlated Random Fields.

Degree: PhD, 2017, University of Arkansas

  This dissertation focuses on the development of theories and practices of energy aware sparse sensing schemes of random fields that are correlated in the… (more)

Subjects/Keywords: Distributed Estimation; Gaussian Process; Greedy Algorithms; Level Set Estimation; Sparse Sensing; Wireless Sensor Networks; Electrical and Electronics

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APA (6th Edition):

Wang, Z. (2017). Energy-aware Sparse Sensing of Spatial-temporally Correlated Random Fields. (Doctoral Dissertation). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/2586

Chicago Manual of Style (16th Edition):

Wang, Zuoen. “Energy-aware Sparse Sensing of Spatial-temporally Correlated Random Fields.” 2017. Doctoral Dissertation, University of Arkansas. Accessed September 30, 2020. https://scholarworks.uark.edu/etd/2586.

MLA Handbook (7th Edition):

Wang, Zuoen. “Energy-aware Sparse Sensing of Spatial-temporally Correlated Random Fields.” 2017. Web. 30 Sep 2020.

Vancouver:

Wang Z. Energy-aware Sparse Sensing of Spatial-temporally Correlated Random Fields. [Internet] [Doctoral dissertation]. University of Arkansas; 2017. [cited 2020 Sep 30]. Available from: https://scholarworks.uark.edu/etd/2586.

Council of Science Editors:

Wang Z. Energy-aware Sparse Sensing of Spatial-temporally Correlated Random Fields. [Doctoral Dissertation]. University of Arkansas; 2017. Available from: https://scholarworks.uark.edu/etd/2586

16. Zalmai, Nour. A State Space World for Detecting and Estimating Events and Learning Sparse Signal Decompositions.

Degree: 2017, ETH Zürich

 Many signals can be labeled with a small set of events such that each event is categorized according to its surrounding signal shapes. In this… (more)

Subjects/Keywords: linear state space models; event detection and estimation; learning sparse signal decompositions; sparse Bayesian learning; unsupervised feature extraction; info:eu-repo/classification/ddc/621.3; Electric engineering

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

APA (6th Edition):

Zalmai, N. (2017). A State Space World for Detecting and Estimating Events and Learning Sparse Signal Decompositions. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/176652

Chicago Manual of Style (16th Edition):

Zalmai, Nour. “A State Space World for Detecting and Estimating Events and Learning Sparse Signal Decompositions.” 2017. Doctoral Dissertation, ETH Zürich. Accessed September 30, 2020. http://hdl.handle.net/20.500.11850/176652.

MLA Handbook (7th Edition):

Zalmai, Nour. “A State Space World for Detecting and Estimating Events and Learning Sparse Signal Decompositions.” 2017. Web. 30 Sep 2020.

Vancouver:

Zalmai N. A State Space World for Detecting and Estimating Events and Learning Sparse Signal Decompositions. [Internet] [Doctoral dissertation]. ETH Zürich; 2017. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/20.500.11850/176652.

Council of Science Editors:

Zalmai N. A State Space World for Detecting and Estimating Events and Learning Sparse Signal Decompositions. [Doctoral Dissertation]. ETH Zürich; 2017. Available from: http://hdl.handle.net/20.500.11850/176652


Indian Institute of Science

17. Prasad, Ranjitha. Sparse Bayesian Learning For Joint Channel Estimation Data Detection In OFDM Systems.

Degree: PhD, Faculty of Engineering, 2018, Indian Institute of Science

 Bayesian approaches for sparse signal recovery have enjoyed a long-standing history in signal processing and machine learning literature. Among the Bayesian techniques, the expectation maximization… (more)

Subjects/Keywords: Sparse Bayesian Learning; Signal Processing; Machine Learning; Wireless Communication; MIMO-OFDM Systems; Data Detection; Channel Estimation; Multiple Input Multiple Output (MIMO) Communication; Fading Channels; Sparse Wireless Channel Estimation; Orthogonal Frequency Division Multiplexing (OFDM); Kalman Filters; Autoregressive Processes; Bayesian Learning; Joint Channel Estimation; Communication Engineering

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

APA (6th Edition):

Prasad, R. (2018). Sparse Bayesian Learning For Joint Channel Estimation Data Detection In OFDM Systems. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/4008

Chicago Manual of Style (16th Edition):

Prasad, Ranjitha. “Sparse Bayesian Learning For Joint Channel Estimation Data Detection In OFDM Systems.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed September 30, 2020. http://etd.iisc.ac.in/handle/2005/4008.

MLA Handbook (7th Edition):

Prasad, Ranjitha. “Sparse Bayesian Learning For Joint Channel Estimation Data Detection In OFDM Systems.” 2018. Web. 30 Sep 2020.

Vancouver:

Prasad R. Sparse Bayesian Learning For Joint Channel Estimation Data Detection In OFDM Systems. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2020 Sep 30]. Available from: http://etd.iisc.ac.in/handle/2005/4008.

Council of Science Editors:

Prasad R. Sparse Bayesian Learning For Joint Channel Estimation Data Detection In OFDM Systems. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/4008


University of California – San Diego

18. Liu, Lee-Kang. From Image to Video, Depth Data Reconstruction from a Subset of Samples: Representations, Algorithms, and Sampling Strategies.

Degree: Electrical Engineering (Signal and Image Proc), 2015, University of California – San Diego

 Depth data acquisition has drawn considerable interest in recent years as a result of the rapid development of 3D technology. A large number of acquisition… (more)

Subjects/Keywords: Engineering; Alternating Direction Method of Multipliers; Dense Depth Estimation; Depth Enhancement; Image and Video Processing; Sparse Reconstruction

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APA (6th Edition):

Liu, L. (2015). From Image to Video, Depth Data Reconstruction from a Subset of Samples: Representations, Algorithms, and Sampling Strategies. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/98f001p4

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, Lee-Kang. “From Image to Video, Depth Data Reconstruction from a Subset of Samples: Representations, Algorithms, and Sampling Strategies.” 2015. Thesis, University of California – San Diego. Accessed September 30, 2020. http://www.escholarship.org/uc/item/98f001p4.

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

MLA Handbook (7th Edition):

Liu, Lee-Kang. “From Image to Video, Depth Data Reconstruction from a Subset of Samples: Representations, Algorithms, and Sampling Strategies.” 2015. Web. 30 Sep 2020.

Vancouver:

Liu L. From Image to Video, Depth Data Reconstruction from a Subset of Samples: Representations, Algorithms, and Sampling Strategies. [Internet] [Thesis]. University of California – San Diego; 2015. [cited 2020 Sep 30]. Available from: http://www.escholarship.org/uc/item/98f001p4.

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

Council of Science Editors:

Liu L. From Image to Video, Depth Data Reconstruction from a Subset of Samples: Representations, Algorithms, and Sampling Strategies. [Thesis]. University of California – San Diego; 2015. Available from: http://www.escholarship.org/uc/item/98f001p4

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


University of Michigan

19. Deng, Yanzhen. Group Sparsity in Regression and PCA.

Degree: PhD, Statistics, 2019, University of Michigan

 In the field of high-dimensional statistics, it is commonly assumed that only a small subset of the variables are relevant and sparse estimators are pursued… (more)

Subjects/Keywords: Sparse estimation; Principal component analysis; Sliced inverse regression; Group Lasso; High dimensional data; Non-asymptotic theory; Statistics and Numeric Data; Science

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

APA (6th Edition):

Deng, Y. (2019). Group Sparsity in Regression and PCA. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/151380

Chicago Manual of Style (16th Edition):

Deng, Yanzhen. “Group Sparsity in Regression and PCA.” 2019. Doctoral Dissertation, University of Michigan. Accessed September 30, 2020. http://hdl.handle.net/2027.42/151380.

MLA Handbook (7th Edition):

Deng, Yanzhen. “Group Sparsity in Regression and PCA.” 2019. Web. 30 Sep 2020.

Vancouver:

Deng Y. Group Sparsity in Regression and PCA. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/2027.42/151380.

Council of Science Editors:

Deng Y. Group Sparsity in Regression and PCA. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/151380

20. Ouzir, Nora Leïla. Cardiac motion estimation in ultrasound images using a sparse representation and dictionary learning : Estimation du mouvement cardiaque en imagerie ultrasonore par représentation parcimonieuse et apprentissage de dictionnaire.

Degree: Docteur es, Signal, Image, Acoustique et Optimisation, 2018, Université Toulouse III – Paul Sabatier

 Les maladies cardiovasculaires sont de nos jours un problème de santé majeur. L'amélioration des méthodes liées au diagnostic de ces maladies représente donc un réel… (more)

Subjects/Keywords: Estimation du mouvement; Echocardiographie; Représentations parcimonieuses; Apprentissage de dictionnaires; Motion estimatio; Echocardiography; Sparse representations; Dictionary learning

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

APA (6th Edition):

Ouzir, N. L. (2018). Cardiac motion estimation in ultrasound images using a sparse representation and dictionary learning : Estimation du mouvement cardiaque en imagerie ultrasonore par représentation parcimonieuse et apprentissage de dictionnaire. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2018TOU30149

Chicago Manual of Style (16th Edition):

Ouzir, Nora Leïla. “Cardiac motion estimation in ultrasound images using a sparse representation and dictionary learning : Estimation du mouvement cardiaque en imagerie ultrasonore par représentation parcimonieuse et apprentissage de dictionnaire.” 2018. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed September 30, 2020. http://www.theses.fr/2018TOU30149.

MLA Handbook (7th Edition):

Ouzir, Nora Leïla. “Cardiac motion estimation in ultrasound images using a sparse representation and dictionary learning : Estimation du mouvement cardiaque en imagerie ultrasonore par représentation parcimonieuse et apprentissage de dictionnaire.” 2018. Web. 30 Sep 2020.

Vancouver:

Ouzir NL. Cardiac motion estimation in ultrasound images using a sparse representation and dictionary learning : Estimation du mouvement cardiaque en imagerie ultrasonore par représentation parcimonieuse et apprentissage de dictionnaire. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2018. [cited 2020 Sep 30]. Available from: http://www.theses.fr/2018TOU30149.

Council of Science Editors:

Ouzir NL. Cardiac motion estimation in ultrasound images using a sparse representation and dictionary learning : Estimation du mouvement cardiaque en imagerie ultrasonore par représentation parcimonieuse et apprentissage de dictionnaire. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2018. Available from: http://www.theses.fr/2018TOU30149


University of Minnesota

21. Lee, Donghoon. Data-driven Channel Learning for Next-generation Communication Systems.

Degree: PhD, Electrical/Computer Engineering, 2019, University of Minnesota

 The turn of the decade has trademarked the `global society' as an information society, where the creation, distribution, integration, and manipulation of information have significant… (more)

Subjects/Keywords: Active Learning; Bayesian inference; Channel-gain estimation; Cognitive radio; Low-rank and sparse model; Radio Tomography

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APA (6th Edition):

Lee, D. (2019). Data-driven Channel Learning for Next-generation Communication Systems. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/209193

Chicago Manual of Style (16th Edition):

Lee, Donghoon. “Data-driven Channel Learning for Next-generation Communication Systems.” 2019. Doctoral Dissertation, University of Minnesota. Accessed September 30, 2020. http://hdl.handle.net/11299/209193.

MLA Handbook (7th Edition):

Lee, Donghoon. “Data-driven Channel Learning for Next-generation Communication Systems.” 2019. Web. 30 Sep 2020.

Vancouver:

Lee D. Data-driven Channel Learning for Next-generation Communication Systems. [Internet] [Doctoral dissertation]. University of Minnesota; 2019. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/11299/209193.

Council of Science Editors:

Lee D. Data-driven Channel Learning for Next-generation Communication Systems. [Doctoral Dissertation]. University of Minnesota; 2019. Available from: http://hdl.handle.net/11299/209193


Washington University in St. Louis

22. Wang, Mianzhi. Statistical Performance Analysis of Sparse Linear Arrays.

Degree: PhD, Electrical & Systems Engineering, 2018, Washington University in St. Louis

  Direction-of-arrival (DOA) estimation remains an important topic in array signal processing. With uniform linear arrays (ULAs), traditional subspace-based methods can resolve only up to… (more)

Subjects/Keywords: array signal processing; Cramér-Rao bound; direction-of-arrival estimation; performance analysis; sparse linear arrays; Electrical and Electronics

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APA (6th Edition):

Wang, M. (2018). Statistical Performance Analysis of Sparse Linear Arrays. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/eng_etds/381

Chicago Manual of Style (16th Edition):

Wang, Mianzhi. “Statistical Performance Analysis of Sparse Linear Arrays.” 2018. Doctoral Dissertation, Washington University in St. Louis. Accessed September 30, 2020. https://openscholarship.wustl.edu/eng_etds/381.

MLA Handbook (7th Edition):

Wang, Mianzhi. “Statistical Performance Analysis of Sparse Linear Arrays.” 2018. Web. 30 Sep 2020.

Vancouver:

Wang M. Statistical Performance Analysis of Sparse Linear Arrays. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2018. [cited 2020 Sep 30]. Available from: https://openscholarship.wustl.edu/eng_etds/381.

Council of Science Editors:

Wang M. Statistical Performance Analysis of Sparse Linear Arrays. [Doctoral Dissertation]. Washington University in St. Louis; 2018. Available from: https://openscholarship.wustl.edu/eng_etds/381

23. Shin, Bonghun. Development of a Feasible Elastography Framework for Portable Ultrasound.

Degree: 2017, University of Waterloo

 Portable wireless ultrasound is emerging as a new ultrasound device due to the advantages such as small size, lightweight and affordable price. Its high portability… (more)

Subjects/Keywords: Elastography; Strain Imaging; Ultrasound; Telemedicine; Time-Delay Strain Estimation; Portable Ultrasound Devices; Phase-Based Strain Estimation; Compressive Sensing; Sparse Bayesian Learning; L1 Minimization; Optimization

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APA (6th Edition):

Shin, B. (2017). Development of a Feasible Elastography Framework for Portable Ultrasound. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/12534

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):

Shin, Bonghun. “Development of a Feasible Elastography Framework for Portable Ultrasound.” 2017. Thesis, University of Waterloo. Accessed September 30, 2020. http://hdl.handle.net/10012/12534.

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

MLA Handbook (7th Edition):

Shin, Bonghun. “Development of a Feasible Elastography Framework for Portable Ultrasound.” 2017. Web. 30 Sep 2020.

Vancouver:

Shin B. Development of a Feasible Elastography Framework for Portable Ultrasound. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10012/12534.

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

Council of Science Editors:

Shin B. Development of a Feasible Elastography Framework for Portable Ultrasound. [Thesis]. University of Waterloo; 2017. Available from: http://hdl.handle.net/10012/12534

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

24. Boudineau, Mégane. Vers la résolution "optimale" de problèmes inverses non linéaires parcimonieux grâce à l'exploitation de variables binaires sur dictionnaires continus : applications en astrophysique : Towards an "optimal" solution for nonlinear sparse inverse problems using binary variables on continuous dictionaries : applications in Astrophysics.

Degree: Docteur es, Informatique et télécommunications, 2019, Université Toulouse III – Paul Sabatier

 Cette thèse s'intéresse à la résolution de problèmes inverses non linéaires exploitant un a priori de parcimonie ; plus particulièrement, des problèmes où les données… (more)

Subjects/Keywords: Problèmes inverses; Approximations parcimonieuses; Variables binaires; Dictionnaire continu; Modèle Bernoulli-Gaussien; Estimation; Inverse problems; Sparse Approximations; Binary variables; Continuous dictionary; Bernoulli-Gaussian model; Estimation

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APA (6th Edition):

Boudineau, M. (2019). Vers la résolution "optimale" de problèmes inverses non linéaires parcimonieux grâce à l'exploitation de variables binaires sur dictionnaires continus : applications en astrophysique : Towards an "optimal" solution for nonlinear sparse inverse problems using binary variables on continuous dictionaries : applications in Astrophysics. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2019TOU30020

Chicago Manual of Style (16th Edition):

Boudineau, Mégane. “Vers la résolution "optimale" de problèmes inverses non linéaires parcimonieux grâce à l'exploitation de variables binaires sur dictionnaires continus : applications en astrophysique : Towards an "optimal" solution for nonlinear sparse inverse problems using binary variables on continuous dictionaries : applications in Astrophysics.” 2019. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed September 30, 2020. http://www.theses.fr/2019TOU30020.

MLA Handbook (7th Edition):

Boudineau, Mégane. “Vers la résolution "optimale" de problèmes inverses non linéaires parcimonieux grâce à l'exploitation de variables binaires sur dictionnaires continus : applications en astrophysique : Towards an "optimal" solution for nonlinear sparse inverse problems using binary variables on continuous dictionaries : applications in Astrophysics.” 2019. Web. 30 Sep 2020.

Vancouver:

Boudineau M. Vers la résolution "optimale" de problèmes inverses non linéaires parcimonieux grâce à l'exploitation de variables binaires sur dictionnaires continus : applications en astrophysique : Towards an "optimal" solution for nonlinear sparse inverse problems using binary variables on continuous dictionaries : applications in Astrophysics. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2019. [cited 2020 Sep 30]. Available from: http://www.theses.fr/2019TOU30020.

Council of Science Editors:

Boudineau M. Vers la résolution "optimale" de problèmes inverses non linéaires parcimonieux grâce à l'exploitation de variables binaires sur dictionnaires continus : applications en astrophysique : Towards an "optimal" solution for nonlinear sparse inverse problems using binary variables on continuous dictionaries : applications in Astrophysics. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2019. Available from: http://www.theses.fr/2019TOU30020

25. Doh, Yann. Nouveaux modèles d'estimation monophone de distance et d'analyse parcimonieuse : Applications sur signaux transitoires et stationnaires bioacoustiques à l’échelle : New models for distance estimation monophone data and sparse analysis : Application to transient signals and stationary signals on large scale bioacoustic data.

Degree: Docteur es, Informatique, 2014, Toulon

Les ondes acoustiques subissent peu de dispersion dans le milieu marin, comparé au milieu aérien. Certaines espèces de cétacés communiquent ainsi à grande distance, d'autres… (more)

Subjects/Keywords: Estimation de distance source-récepteur; Codage parcimonieux; Atténuation fréquentielle; Signaux transitoires; Signaux stationnaires; Source-receiver range estimation; Sparse coding; Frequency attenuation; Transient signals; Stationary signals

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APA (6th Edition):

Doh, Y. (2014). Nouveaux modèles d'estimation monophone de distance et d'analyse parcimonieuse : Applications sur signaux transitoires et stationnaires bioacoustiques à l’échelle : New models for distance estimation monophone data and sparse analysis : Application to transient signals and stationary signals on large scale bioacoustic data. (Doctoral Dissertation). Toulon. Retrieved from http://www.theses.fr/2014TOUL0020

Chicago Manual of Style (16th Edition):

Doh, Yann. “Nouveaux modèles d'estimation monophone de distance et d'analyse parcimonieuse : Applications sur signaux transitoires et stationnaires bioacoustiques à l’échelle : New models for distance estimation monophone data and sparse analysis : Application to transient signals and stationary signals on large scale bioacoustic data.” 2014. Doctoral Dissertation, Toulon. Accessed September 30, 2020. http://www.theses.fr/2014TOUL0020.

MLA Handbook (7th Edition):

Doh, Yann. “Nouveaux modèles d'estimation monophone de distance et d'analyse parcimonieuse : Applications sur signaux transitoires et stationnaires bioacoustiques à l’échelle : New models for distance estimation monophone data and sparse analysis : Application to transient signals and stationary signals on large scale bioacoustic data.” 2014. Web. 30 Sep 2020.

Vancouver:

Doh Y. Nouveaux modèles d'estimation monophone de distance et d'analyse parcimonieuse : Applications sur signaux transitoires et stationnaires bioacoustiques à l’échelle : New models for distance estimation monophone data and sparse analysis : Application to transient signals and stationary signals on large scale bioacoustic data. [Internet] [Doctoral dissertation]. Toulon; 2014. [cited 2020 Sep 30]. Available from: http://www.theses.fr/2014TOUL0020.

Council of Science Editors:

Doh Y. Nouveaux modèles d'estimation monophone de distance et d'analyse parcimonieuse : Applications sur signaux transitoires et stationnaires bioacoustiques à l’échelle : New models for distance estimation monophone data and sparse analysis : Application to transient signals and stationary signals on large scale bioacoustic data. [Doctoral Dissertation]. Toulon; 2014. Available from: http://www.theses.fr/2014TOUL0020


Northeastern University

26. Feng, Guangyu. Fault location using wide-area measurements and sparse estimation.

Degree: MS, Department of Electrical and Computer Engineering, 2016, Northeastern University

 This thesis describes a fault location method which relies on scattered wide-area synchronized phasor measurements and usage of sparse estimation techniques. The main contribution is… (more)

Subjects/Keywords: fault location; lasso; parallel computation; sparse estimation; wide-area measurement system; Electric fault location; Mathematical models; Electric lines; Fault location (Engineering); Mathematical models; Electric circuit analysis; Estimation theory; Regression analysis

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APA (6th Edition):

Feng, G. (2016). Fault location using wide-area measurements and sparse estimation. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20200268

Chicago Manual of Style (16th Edition):

Feng, Guangyu. “Fault location using wide-area measurements and sparse estimation.” 2016. Masters Thesis, Northeastern University. Accessed September 30, 2020. http://hdl.handle.net/2047/D20200268.

MLA Handbook (7th Edition):

Feng, Guangyu. “Fault location using wide-area measurements and sparse estimation.” 2016. Web. 30 Sep 2020.

Vancouver:

Feng G. Fault location using wide-area measurements and sparse estimation. [Internet] [Masters thesis]. Northeastern University; 2016. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/2047/D20200268.

Council of Science Editors:

Feng G. Fault location using wide-area measurements and sparse estimation. [Masters Thesis]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20200268

27. Mai, Van Khanh. Méthodes avancées de traitement de la parole et de réduction de bruit pour les terminaux mobiles : Advanced methods of speech processing and noise reduction for mobile devices.

Degree: Docteur es, Sciences et Technologies de l'Information et de la Communication, 2017, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire

Cette thèse traite d'un des problèmes les plus stimulants dans le traitement de la parole concernant la prothèse auditive, où seulement un capteur est disponible… (more)

Subjects/Keywords: Enrichissement de la parole et de l'audio; Débruitage statistique; Représentation parcimonieuse; Estimation paramétrique; Combinaison de détection et estimation; Seuillage parcimonieux; Estimation non-Paramétrique; Speech and audio enhancement; Noise reduction; Spare representation; Parametric estimator; Joint detection and estimation; Sparse thresholding; Non-Parametric estimator.; 620

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

APA (6th Edition):

Mai, V. K. (2017). Méthodes avancées de traitement de la parole et de réduction de bruit pour les terminaux mobiles : Advanced methods of speech processing and noise reduction for mobile devices. (Doctoral Dissertation). Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire. Retrieved from http://www.theses.fr/2017IMTA0008

Chicago Manual of Style (16th Edition):

Mai, Van Khanh. “Méthodes avancées de traitement de la parole et de réduction de bruit pour les terminaux mobiles : Advanced methods of speech processing and noise reduction for mobile devices.” 2017. Doctoral Dissertation, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire. Accessed September 30, 2020. http://www.theses.fr/2017IMTA0008.

MLA Handbook (7th Edition):

Mai, Van Khanh. “Méthodes avancées de traitement de la parole et de réduction de bruit pour les terminaux mobiles : Advanced methods of speech processing and noise reduction for mobile devices.” 2017. Web. 30 Sep 2020.

Vancouver:

Mai VK. Méthodes avancées de traitement de la parole et de réduction de bruit pour les terminaux mobiles : Advanced methods of speech processing and noise reduction for mobile devices. [Internet] [Doctoral dissertation]. Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire; 2017. [cited 2020 Sep 30]. Available from: http://www.theses.fr/2017IMTA0008.

Council of Science Editors:

Mai VK. Méthodes avancées de traitement de la parole et de réduction de bruit pour les terminaux mobiles : Advanced methods of speech processing and noise reduction for mobile devices. [Doctoral Dissertation]. Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire; 2017. Available from: http://www.theses.fr/2017IMTA0008

28. Balmand, Samuel. Quelques contributions à l'estimation de grandes matrices de précision : Some contributions to large precision matrix estimation.

Degree: Docteur es, Mathématiques, 2016, Université Paris-Est

Sous l'hypothèse gaussienne, la relation entre indépendance conditionnelle et parcimonie permet de justifier la construction d'estimateurs de l'inverse de la matrice de covariance  – également… (more)

Subjects/Keywords: Estimation de la matrice de précision; Régression parcimonieuse; Modèles graphiques gaussiens; Estimation robuste; Analyse non-Asymptotique; Minimisation convexe; Precision matrix estimation; Sparse regression; Gaussian graphical models; Robust estimation; Nonasymptotic analysis; Convex minimization

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APA (6th Edition):

Balmand, S. (2016). Quelques contributions à l'estimation de grandes matrices de précision : Some contributions to large precision matrix estimation. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2016PESC1024

Chicago Manual of Style (16th Edition):

Balmand, Samuel. “Quelques contributions à l'estimation de grandes matrices de précision : Some contributions to large precision matrix estimation.” 2016. Doctoral Dissertation, Université Paris-Est. Accessed September 30, 2020. http://www.theses.fr/2016PESC1024.

MLA Handbook (7th Edition):

Balmand, Samuel. “Quelques contributions à l'estimation de grandes matrices de précision : Some contributions to large precision matrix estimation.” 2016. Web. 30 Sep 2020.

Vancouver:

Balmand S. Quelques contributions à l'estimation de grandes matrices de précision : Some contributions to large precision matrix estimation. [Internet] [Doctoral dissertation]. Université Paris-Est; 2016. [cited 2020 Sep 30]. Available from: http://www.theses.fr/2016PESC1024.

Council of Science Editors:

Balmand S. Quelques contributions à l'estimation de grandes matrices de précision : Some contributions to large precision matrix estimation. [Doctoral Dissertation]. Université Paris-Est; 2016. Available from: http://www.theses.fr/2016PESC1024


University of Lund

29. Swärd, Johan. Parameter Estimation - in sparsity we trust.

Degree: 2017, University of Lund

 This thesis is based on nine papers, all concerned with parameter estimation. The thesis aims at solving problems related to real-world applications such as spectroscopy,… (more)

Subjects/Keywords: Probability Theory and Statistics; Signal Processing; Parameter estimation; Sparse models; Convex optimization; Symbolic Periodicity; Alternating direction method of multipliers (ADMM); Covariance fitting; multi-pitch estimation problem; Off-grid estimation; Dictionary learning; Atomic norm; Sampling schemes

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

APA (6th Edition):

Swärd, J. (2017). Parameter Estimation - in sparsity we trust. (Doctoral Dissertation). University of Lund. Retrieved from https://lup.lub.lu.se/record/acbef526-fd79-4c67-bf70-d41d035268e5 ; https://portal.research.lu.se/ws/files/29950771/thesis_Johan_Sward.pdf

Chicago Manual of Style (16th Edition):

Swärd, Johan. “Parameter Estimation - in sparsity we trust.” 2017. Doctoral Dissertation, University of Lund. Accessed September 30, 2020. https://lup.lub.lu.se/record/acbef526-fd79-4c67-bf70-d41d035268e5 ; https://portal.research.lu.se/ws/files/29950771/thesis_Johan_Sward.pdf.

MLA Handbook (7th Edition):

Swärd, Johan. “Parameter Estimation - in sparsity we trust.” 2017. Web. 30 Sep 2020.

Vancouver:

Swärd J. Parameter Estimation - in sparsity we trust. [Internet] [Doctoral dissertation]. University of Lund; 2017. [cited 2020 Sep 30]. Available from: https://lup.lub.lu.se/record/acbef526-fd79-4c67-bf70-d41d035268e5 ; https://portal.research.lu.se/ws/files/29950771/thesis_Johan_Sward.pdf.

Council of Science Editors:

Swärd J. Parameter Estimation - in sparsity we trust. [Doctoral Dissertation]. University of Lund; 2017. Available from: https://lup.lub.lu.se/record/acbef526-fd79-4c67-bf70-d41d035268e5 ; https://portal.research.lu.se/ws/files/29950771/thesis_Johan_Sward.pdf


University of Waterloo

30. Datta Gupta, Syamantak. On MMSE Approximations of Stationary Time Series.

Degree: 2014, University of Waterloo

 In a large number of applications arising in various fields of study, time series are approximated using linear MMSE estimates. Such approximations include finite order… (more)

Subjects/Keywords: autoregressive estimates; linear estimation; Wiener filter; Granger causality; directed information; spectral density; time average variance constant; sparse recovery; cyclostationary process; wide sense stationary

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

APA (6th Edition):

Datta Gupta, S. (2014). On MMSE Approximations of Stationary Time Series. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/8143

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

Chicago Manual of Style (16th Edition):

Datta Gupta, Syamantak. “On MMSE Approximations of Stationary Time Series.” 2014. Thesis, University of Waterloo. Accessed September 30, 2020. http://hdl.handle.net/10012/8143.

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

MLA Handbook (7th Edition):

Datta Gupta, Syamantak. “On MMSE Approximations of Stationary Time Series.” 2014. Web. 30 Sep 2020.

Vancouver:

Datta Gupta S. On MMSE Approximations of Stationary Time Series. [Internet] [Thesis]. University of Waterloo; 2014. [cited 2020 Sep 30]. Available from: http://hdl.handle.net/10012/8143.

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

Council of Science Editors:

Datta Gupta S. On MMSE Approximations of Stationary Time Series. [Thesis]. University of Waterloo; 2014. Available from: http://hdl.handle.net/10012/8143

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

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