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You searched for subject:(Compressed sensing). Showing records 1 – 30 of 338 total matches.

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University of Toronto

1. Makhzani, Alireza. Compressed Sensing for Jointly Sparse Signals.

Degree: 2012, University of Toronto

Compressed sensing is an emerging field, which proposes that a small collection of linear projections of a sparse signal contains enough information for perfect reconstruction… (more)

Subjects/Keywords: Compressed Sensing; 0544

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APA (6th Edition):

Makhzani, A. (2012). Compressed Sensing for Jointly Sparse Signals. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/33438

Chicago Manual of Style (16th Edition):

Makhzani, Alireza. “Compressed Sensing for Jointly Sparse Signals.” 2012. Masters Thesis, University of Toronto. Accessed March 03, 2021. http://hdl.handle.net/1807/33438.

MLA Handbook (7th Edition):

Makhzani, Alireza. “Compressed Sensing for Jointly Sparse Signals.” 2012. Web. 03 Mar 2021.

Vancouver:

Makhzani A. Compressed Sensing for Jointly Sparse Signals. [Internet] [Masters thesis]. University of Toronto; 2012. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1807/33438.

Council of Science Editors:

Makhzani A. Compressed Sensing for Jointly Sparse Signals. [Masters Thesis]. University of Toronto; 2012. Available from: http://hdl.handle.net/1807/33438


Queens University

2. Abou Saleh, Ahmad. Source-Channel Mappings with Applications to Compressed Sensing .

Degree: Electrical and Computer Engineering, 2011, Queens University

 Tandem source-channel coding is proven to be optimal by Shannon given unlimited delay and complexity in the coders. Under low delay and low complexity constraints,… (more)

Subjects/Keywords: source-channel mappings ; compressed sensing

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APA (6th Edition):

Abou Saleh, A. (2011). Source-Channel Mappings with Applications to Compressed Sensing . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/6614

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):

Abou Saleh, Ahmad. “Source-Channel Mappings with Applications to Compressed Sensing .” 2011. Thesis, Queens University. Accessed March 03, 2021. http://hdl.handle.net/1974/6614.

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

MLA Handbook (7th Edition):

Abou Saleh, Ahmad. “Source-Channel Mappings with Applications to Compressed Sensing .” 2011. Web. 03 Mar 2021.

Vancouver:

Abou Saleh A. Source-Channel Mappings with Applications to Compressed Sensing . [Internet] [Thesis]. Queens University; 2011. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1974/6614.

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

Council of Science Editors:

Abou Saleh A. Source-Channel Mappings with Applications to Compressed Sensing . [Thesis]. Queens University; 2011. Available from: http://hdl.handle.net/1974/6614

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

3. Ryan Paderna. Channel Estimation and Detection for Advanced Digital Terrestrial Television System : 次世代地上デジタルテレビシステムのための伝搬路推定と復調法; ジセダイ チジョウ デジタル テレビ システム ノ タメノ デンパンロ スイテイ ト フクチョウホウ.

Degree: 博士(工学), 2018, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

Subjects/Keywords: Compressed sensing

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APA (6th Edition):

Paderna, R. (2018). Channel Estimation and Detection for Advanced Digital Terrestrial Television System : 次世代地上デジタルテレビシステムのための伝搬路推定と復調法; ジセダイ チジョウ デジタル テレビ システム ノ タメノ デンパンロ スイテイ ト フクチョウホウ. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/12512

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):

Paderna, Ryan. “Channel Estimation and Detection for Advanced Digital Terrestrial Television System : 次世代地上デジタルテレビシステムのための伝搬路推定と復調法; ジセダイ チジョウ デジタル テレビ システム ノ タメノ デンパンロ スイテイ ト フクチョウホウ.” 2018. Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed March 03, 2021. http://hdl.handle.net/10061/12512.

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

MLA Handbook (7th Edition):

Paderna, Ryan. “Channel Estimation and Detection for Advanced Digital Terrestrial Television System : 次世代地上デジタルテレビシステムのための伝搬路推定と復調法; ジセダイ チジョウ デジタル テレビ システム ノ タメノ デンパンロ スイテイ ト フクチョウホウ.” 2018. Web. 03 Mar 2021.

Vancouver:

Paderna R. Channel Estimation and Detection for Advanced Digital Terrestrial Television System : 次世代地上デジタルテレビシステムのための伝搬路推定と復調法; ジセダイ チジョウ デジタル テレビ システム ノ タメノ デンパンロ スイテイ ト フクチョウホウ. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; 2018. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/10061/12512.

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

Council of Science Editors:

Paderna R. Channel Estimation and Detection for Advanced Digital Terrestrial Television System : 次世代地上デジタルテレビシステムのための伝搬路推定と復調法; ジセダイ チジョウ デジタル テレビ システム ノ タメノ デンパンロ スイテイ ト フクチョウホウ. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; 2018. Available from: http://hdl.handle.net/10061/12512

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

4. Manoel, Antonio André Monteiro. Statistical physics for compressed sensing and information hiding.

Degree: PhD, Física, 2015, University of São Paulo

This thesis is divided into two parts. In the first part, we show how problems of statistical inference and combinatorial optimization may be approached within… (more)

Subjects/Keywords: Bayesian inference; compressed sensing; compressed sensing; esteganografia; inferência Bayesiana; steganography

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APA (6th Edition):

Manoel, A. A. M. (2015). Statistical physics for compressed sensing and information hiding. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/43/43134/tde-08102015-140952/ ;

Chicago Manual of Style (16th Edition):

Manoel, Antonio André Monteiro. “Statistical physics for compressed sensing and information hiding.” 2015. Doctoral Dissertation, University of São Paulo. Accessed March 03, 2021. http://www.teses.usp.br/teses/disponiveis/43/43134/tde-08102015-140952/ ;.

MLA Handbook (7th Edition):

Manoel, Antonio André Monteiro. “Statistical physics for compressed sensing and information hiding.” 2015. Web. 03 Mar 2021.

Vancouver:

Manoel AAM. Statistical physics for compressed sensing and information hiding. [Internet] [Doctoral dissertation]. University of São Paulo; 2015. [cited 2021 Mar 03]. Available from: http://www.teses.usp.br/teses/disponiveis/43/43134/tde-08102015-140952/ ;.

Council of Science Editors:

Manoel AAM. Statistical physics for compressed sensing and information hiding. [Doctoral Dissertation]. University of São Paulo; 2015. Available from: http://www.teses.usp.br/teses/disponiveis/43/43134/tde-08102015-140952/ ;


University of Wollongong

5. Tang, Van Ha. Compressed sensing for enhanced through-the-wall radar imaging.

Degree: PhD, 2015, University of Wollongong

  Through-the-wall radar imaging (TWRI) is an emerging technology that aims to capture scenes behind walls and other visually opaque materials. The abilities to sense… (more)

Subjects/Keywords: Through-the-wall radar imaging; compressed sensing; Bayesian compressed sensing

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APA (6th Edition):

Tang, V. H. (2015). Compressed sensing for enhanced through-the-wall radar imaging. (Doctoral Dissertation). University of Wollongong. Retrieved from ; https://ro.uow.edu.au/theses/4643

Chicago Manual of Style (16th Edition):

Tang, Van Ha. “Compressed sensing for enhanced through-the-wall radar imaging.” 2015. Doctoral Dissertation, University of Wollongong. Accessed March 03, 2021. ; https://ro.uow.edu.au/theses/4643.

MLA Handbook (7th Edition):

Tang, Van Ha. “Compressed sensing for enhanced through-the-wall radar imaging.” 2015. Web. 03 Mar 2021.

Vancouver:

Tang VH. Compressed sensing for enhanced through-the-wall radar imaging. [Internet] [Doctoral dissertation]. University of Wollongong; 2015. [cited 2021 Mar 03]. Available from: ; https://ro.uow.edu.au/theses/4643.

Council of Science Editors:

Tang VH. Compressed sensing for enhanced through-the-wall radar imaging. [Doctoral Dissertation]. University of Wollongong; 2015. Available from: ; https://ro.uow.edu.au/theses/4643


Universiteit Utrecht

6. Burgh, H.K. van der. Reducing geometric distortions of Diffusion-Weighted Imaging using Compressed Sensing.

Degree: 2014, Universiteit Utrecht

 Diffusion-weighted imaging (DWI) is a type of contrast imaging used in Magnetic Resonance Imaging (MRI) that visualizes the amount of diffusion of water molecules in… (more)

Subjects/Keywords: compressed sensing; DW-MRI; reconstruction; minimization problem

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APA (6th Edition):

Burgh, H. K. v. d. (2014). Reducing geometric distortions of Diffusion-Weighted Imaging using Compressed Sensing. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/294002

Chicago Manual of Style (16th Edition):

Burgh, H K van der. “Reducing geometric distortions of Diffusion-Weighted Imaging using Compressed Sensing.” 2014. Masters Thesis, Universiteit Utrecht. Accessed March 03, 2021. http://dspace.library.uu.nl:8080/handle/1874/294002.

MLA Handbook (7th Edition):

Burgh, H K van der. “Reducing geometric distortions of Diffusion-Weighted Imaging using Compressed Sensing.” 2014. Web. 03 Mar 2021.

Vancouver:

Burgh HKvd. Reducing geometric distortions of Diffusion-Weighted Imaging using Compressed Sensing. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2021 Mar 03]. Available from: http://dspace.library.uu.nl:8080/handle/1874/294002.

Council of Science Editors:

Burgh HKvd. Reducing geometric distortions of Diffusion-Weighted Imaging using Compressed Sensing. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/294002


University of Rochester

7. Zerom, Petros. Image reconstruction and discrimination at low light levels.

Degree: PhD, 2013, University of Rochester

 Quantum imaging is a recent and promising branch of quantum optics that exploits the quantum nature of light. Improving the limitations imposed by classical sources… (more)

Subjects/Keywords: Compressed sensing; Ghost imaging; Speckle imaging

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APA (6th Edition):

Zerom, P. (2013). Image reconstruction and discrimination at low light levels. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/27903

Chicago Manual of Style (16th Edition):

Zerom, Petros. “Image reconstruction and discrimination at low light levels.” 2013. Doctoral Dissertation, University of Rochester. Accessed March 03, 2021. http://hdl.handle.net/1802/27903.

MLA Handbook (7th Edition):

Zerom, Petros. “Image reconstruction and discrimination at low light levels.” 2013. Web. 03 Mar 2021.

Vancouver:

Zerom P. Image reconstruction and discrimination at low light levels. [Internet] [Doctoral dissertation]. University of Rochester; 2013. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1802/27903.

Council of Science Editors:

Zerom P. Image reconstruction and discrimination at low light levels. [Doctoral Dissertation]. University of Rochester; 2013. Available from: http://hdl.handle.net/1802/27903


University of Rochester

8. Hu, Yue. Novel compressed sensing algorithms with applications to magnetic resonance imaging.

Degree: PhD, 2014, University of Rochester

 Magnetic Resonance Imaging (MRI) is a widely used non-invasive clinical imaging modality. Unlike other medical imaging tools, such as X-rays or computed tomography (CT), the… (more)

Subjects/Keywords: Compressed sensing; Image processing; Magnetic resonance imaging

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APA (6th Edition):

Hu, Y. (2014). Novel compressed sensing algorithms with applications to magnetic resonance imaging. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/28286

Chicago Manual of Style (16th Edition):

Hu, Yue. “Novel compressed sensing algorithms with applications to magnetic resonance imaging.” 2014. Doctoral Dissertation, University of Rochester. Accessed March 03, 2021. http://hdl.handle.net/1802/28286.

MLA Handbook (7th Edition):

Hu, Yue. “Novel compressed sensing algorithms with applications to magnetic resonance imaging.” 2014. Web. 03 Mar 2021.

Vancouver:

Hu Y. Novel compressed sensing algorithms with applications to magnetic resonance imaging. [Internet] [Doctoral dissertation]. University of Rochester; 2014. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1802/28286.

Council of Science Editors:

Hu Y. Novel compressed sensing algorithms with applications to magnetic resonance imaging. [Doctoral Dissertation]. University of Rochester; 2014. Available from: http://hdl.handle.net/1802/28286


University of Rochester

9. Yang, Zhili (1985 - ); Jacob, Mathews. Efficient reconstruction algorithms for fast MRI.

Degree: PhD, 2014, University of Rochester

 In this dissertation, we focus on the problems of fast and accurate reconstruction of undersampled dynamic MRI data sets. Our approaches make use of the… (more)

Subjects/Keywords: Compressed sensing; Dynamic MRI; Nonlocal; NUFFT

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APA (6th Edition):

Yang, Zhili (1985 - ); Jacob, M. (2014). Efficient reconstruction algorithms for fast MRI. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/28560

Chicago Manual of Style (16th Edition):

Yang, Zhili (1985 - ); Jacob, Mathews. “Efficient reconstruction algorithms for fast MRI.” 2014. Doctoral Dissertation, University of Rochester. Accessed March 03, 2021. http://hdl.handle.net/1802/28560.

MLA Handbook (7th Edition):

Yang, Zhili (1985 - ); Jacob, Mathews. “Efficient reconstruction algorithms for fast MRI.” 2014. Web. 03 Mar 2021.

Vancouver:

Yang, Zhili (1985 - ); Jacob M. Efficient reconstruction algorithms for fast MRI. [Internet] [Doctoral dissertation]. University of Rochester; 2014. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1802/28560.

Council of Science Editors:

Yang, Zhili (1985 - ); Jacob M. Efficient reconstruction algorithms for fast MRI. [Doctoral Dissertation]. University of Rochester; 2014. Available from: http://hdl.handle.net/1802/28560


Rochester Institute of Technology

10. Dominguez, Miguel. Structure-Constrained Basis Pursuit for Compressively Sensing Speech.

Degree: MS, Electrical Engineering, 2016, Rochester Institute of Technology

Compressed Sensing (CS) exploits the sparsity of many signals to enable sampling below the Nyquist rate. If the original signal is sufficiently sparse, the… (more)

Subjects/Keywords: Basis pursuit; Compressed sensing; Speech coding

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APA (6th Edition):

Dominguez, M. (2016). Structure-Constrained Basis Pursuit for Compressively Sensing Speech. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9002

Chicago Manual of Style (16th Edition):

Dominguez, Miguel. “Structure-Constrained Basis Pursuit for Compressively Sensing Speech.” 2016. Masters Thesis, Rochester Institute of Technology. Accessed March 03, 2021. https://scholarworks.rit.edu/theses/9002.

MLA Handbook (7th Edition):

Dominguez, Miguel. “Structure-Constrained Basis Pursuit for Compressively Sensing Speech.” 2016. Web. 03 Mar 2021.

Vancouver:

Dominguez M. Structure-Constrained Basis Pursuit for Compressively Sensing Speech. [Internet] [Masters thesis]. Rochester Institute of Technology; 2016. [cited 2021 Mar 03]. Available from: https://scholarworks.rit.edu/theses/9002.

Council of Science Editors:

Dominguez M. Structure-Constrained Basis Pursuit for Compressively Sensing Speech. [Masters Thesis]. Rochester Institute of Technology; 2016. Available from: https://scholarworks.rit.edu/theses/9002


University of Alberta

11. Fang, Hao. Parallel Sampling and Reconstruction with Permutation in Multidimensional Compressed Sensing.

Degree: MS, Department of Electrical and Computer Engineering, 2013, University of Alberta

 The advent of compressed sensing provides a new way to sample and compress signals. In this thesis, a parallel compressed sensing architecture is proposed, which… (more)

Subjects/Keywords: multidimensional signal processing; permutation; compressed sensing

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APA (6th Edition):

Fang, H. (2013). Parallel Sampling and Reconstruction with Permutation in Multidimensional Compressed Sensing. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/s4655h990

Chicago Manual of Style (16th Edition):

Fang, Hao. “Parallel Sampling and Reconstruction with Permutation in Multidimensional Compressed Sensing.” 2013. Masters Thesis, University of Alberta. Accessed March 03, 2021. https://era.library.ualberta.ca/files/s4655h990.

MLA Handbook (7th Edition):

Fang, Hao. “Parallel Sampling and Reconstruction with Permutation in Multidimensional Compressed Sensing.” 2013. Web. 03 Mar 2021.

Vancouver:

Fang H. Parallel Sampling and Reconstruction with Permutation in Multidimensional Compressed Sensing. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2021 Mar 03]. Available from: https://era.library.ualberta.ca/files/s4655h990.

Council of Science Editors:

Fang H. Parallel Sampling and Reconstruction with Permutation in Multidimensional Compressed Sensing. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/s4655h990


University of Alberta

12. Lu, Ran. The Strong Restricted Isometry Property of Sub-Gaussian Matrices and the Erasure Robustness Property of Gaussian Random Frames.

Degree: MS, Department of Mathematical and Statistical Sciences, 2016, University of Alberta

 In this thesis we will study the robustness property of sub-gaussian random matrices. We first show that the nearly isometry property will still hold with… (more)

Subjects/Keywords: restricted isometry property; random matrix; compressed sensing

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APA (6th Edition):

Lu, R. (2016). The Strong Restricted Isometry Property of Sub-Gaussian Matrices and the Erasure Robustness Property of Gaussian Random Frames. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cj9602064j

Chicago Manual of Style (16th Edition):

Lu, Ran. “The Strong Restricted Isometry Property of Sub-Gaussian Matrices and the Erasure Robustness Property of Gaussian Random Frames.” 2016. Masters Thesis, University of Alberta. Accessed March 03, 2021. https://era.library.ualberta.ca/files/cj9602064j.

MLA Handbook (7th Edition):

Lu, Ran. “The Strong Restricted Isometry Property of Sub-Gaussian Matrices and the Erasure Robustness Property of Gaussian Random Frames.” 2016. Web. 03 Mar 2021.

Vancouver:

Lu R. The Strong Restricted Isometry Property of Sub-Gaussian Matrices and the Erasure Robustness Property of Gaussian Random Frames. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2021 Mar 03]. Available from: https://era.library.ualberta.ca/files/cj9602064j.

Council of Science Editors:

Lu R. The Strong Restricted Isometry Property of Sub-Gaussian Matrices and the Erasure Robustness Property of Gaussian Random Frames. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/cj9602064j


Hong Kong University of Science and Technology

13. Lian, Lixiang ECE. Compressive sensing algorithms with applications to massive MIMO systems.

Degree: 2020, Hong Kong University of Science and Technology

 Compressive sensing (CS) has attracted significant attention as a technique that under-samples high dimensional signals and accurately recovers them exploiting the sparsity of these signals.… (more)

Subjects/Keywords: MIMO systems ; Compressed sensing (Telecommunication) ; Signal processing

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APA (6th Edition):

Lian, L. E. (2020). Compressive sensing algorithms with applications to massive MIMO systems. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-103991 ; https://doi.org/10.14711/thesis-991012786269503412 ; http://repository.ust.hk/ir/bitstream/1783.1-103991/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Lian, Lixiang ECE. “Compressive sensing algorithms with applications to massive MIMO systems.” 2020. Thesis, Hong Kong University of Science and Technology. Accessed March 03, 2021. http://repository.ust.hk/ir/Record/1783.1-103991 ; https://doi.org/10.14711/thesis-991012786269503412 ; http://repository.ust.hk/ir/bitstream/1783.1-103991/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Lian, Lixiang ECE. “Compressive sensing algorithms with applications to massive MIMO systems.” 2020. Web. 03 Mar 2021.

Vancouver:

Lian LE. Compressive sensing algorithms with applications to massive MIMO systems. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2020. [cited 2021 Mar 03]. Available from: http://repository.ust.hk/ir/Record/1783.1-103991 ; https://doi.org/10.14711/thesis-991012786269503412 ; http://repository.ust.hk/ir/bitstream/1783.1-103991/1/th_redirect.html.

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

Council of Science Editors:

Lian LE. Compressive sensing algorithms with applications to massive MIMO systems. [Thesis]. Hong Kong University of Science and Technology; 2020. Available from: http://repository.ust.hk/ir/Record/1783.1-103991 ; https://doi.org/10.14711/thesis-991012786269503412 ; http://repository.ust.hk/ir/bitstream/1783.1-103991/1/th_redirect.html

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


Penn State University

14. Cao, Zhipeng. Advances In Simulation And Thermography For high Field Mri.

Degree: 2013, Penn State University

 High field MRI systems can benefit from increased signal-to-noise ratio (SNR) but face challenges of decreased homogeneity in signal intensity across images and increased patient… (more)

Subjects/Keywords: MRI; FDTD; Simulation; Hyperthermia; Reconstruction; Compressed Sensing

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APA (6th Edition):

Cao, Z. (2013). Advances In Simulation And Thermography For high Field Mri. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/18817

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):

Cao, Zhipeng. “Advances In Simulation And Thermography For high Field Mri.” 2013. Thesis, Penn State University. Accessed March 03, 2021. https://submit-etda.libraries.psu.edu/catalog/18817.

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

MLA Handbook (7th Edition):

Cao, Zhipeng. “Advances In Simulation And Thermography For high Field Mri.” 2013. Web. 03 Mar 2021.

Vancouver:

Cao Z. Advances In Simulation And Thermography For high Field Mri. [Internet] [Thesis]. Penn State University; 2013. [cited 2021 Mar 03]. Available from: https://submit-etda.libraries.psu.edu/catalog/18817.

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

Council of Science Editors:

Cao Z. Advances In Simulation And Thermography For high Field Mri. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/18817

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

15. Carpentier, Alexandra. De l'échantillonage optimal en grande et petite dimension : On optimal sampling in high and low dimension.

Degree: Docteur es, Informatique, 2012, Université Lille I – Sciences et Technologies

Pendant ma thèse, j’ai eu la chance d’apprendre et de travailler sous la supervision de mon directeur de thèse Rémi, et ce dans deux domaines… (more)

Subjects/Keywords: Théorie des bandits stochastiques; Compressed sensing; 006.31

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APA (6th Edition):

Carpentier, A. (2012). De l'échantillonage optimal en grande et petite dimension : On optimal sampling in high and low dimension. (Doctoral Dissertation). Université Lille I – Sciences et Technologies. Retrieved from http://www.theses.fr/2012LIL10041

Chicago Manual of Style (16th Edition):

Carpentier, Alexandra. “De l'échantillonage optimal en grande et petite dimension : On optimal sampling in high and low dimension.” 2012. Doctoral Dissertation, Université Lille I – Sciences et Technologies. Accessed March 03, 2021. http://www.theses.fr/2012LIL10041.

MLA Handbook (7th Edition):

Carpentier, Alexandra. “De l'échantillonage optimal en grande et petite dimension : On optimal sampling in high and low dimension.” 2012. Web. 03 Mar 2021.

Vancouver:

Carpentier A. De l'échantillonage optimal en grande et petite dimension : On optimal sampling in high and low dimension. [Internet] [Doctoral dissertation]. Université Lille I – Sciences et Technologies; 2012. [cited 2021 Mar 03]. Available from: http://www.theses.fr/2012LIL10041.

Council of Science Editors:

Carpentier A. De l'échantillonage optimal en grande et petite dimension : On optimal sampling in high and low dimension. [Doctoral Dissertation]. Université Lille I – Sciences et Technologies; 2012. Available from: http://www.theses.fr/2012LIL10041


Harvard University

16. Markovich, Thomas. Towards Realistic Correlated Electronic Dynamics: New Developments in the Modeling of Harmonic Bath Models and Many Body Dispersion Interactions.

Degree: PhD, 2017, Harvard University

In this work we develop and characterize tools to compute realistic environmental models and accurate molecular structures, with the ultimate goal of enabling accurate correlated… (more)

Subjects/Keywords: Many Body Dispersion; Compressed Sensing; Dispersion

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APA (6th Edition):

Markovich, T. (2017). Towards Realistic Correlated Electronic Dynamics: New Developments in the Modeling of Harmonic Bath Models and Many Body Dispersion Interactions. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:41142045

Chicago Manual of Style (16th Edition):

Markovich, Thomas. “Towards Realistic Correlated Electronic Dynamics: New Developments in the Modeling of Harmonic Bath Models and Many Body Dispersion Interactions.” 2017. Doctoral Dissertation, Harvard University. Accessed March 03, 2021. http://nrs.harvard.edu/urn-3:HUL.InstRepos:41142045.

MLA Handbook (7th Edition):

Markovich, Thomas. “Towards Realistic Correlated Electronic Dynamics: New Developments in the Modeling of Harmonic Bath Models and Many Body Dispersion Interactions.” 2017. Web. 03 Mar 2021.

Vancouver:

Markovich T. Towards Realistic Correlated Electronic Dynamics: New Developments in the Modeling of Harmonic Bath Models and Many Body Dispersion Interactions. [Internet] [Doctoral dissertation]. Harvard University; 2017. [cited 2021 Mar 03]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:41142045.

Council of Science Editors:

Markovich T. Towards Realistic Correlated Electronic Dynamics: New Developments in the Modeling of Harmonic Bath Models and Many Body Dispersion Interactions. [Doctoral Dissertation]. Harvard University; 2017. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:41142045


University of Victoria

17. Li, Wanbo. Wireless ECG system with bluetooth low energy and compressed sensing.

Degree: Department of Electrical and Computer Engineering, 2016, University of Victoria

 Electrocardiogram (ECG) is a noninvasive technology widely used in health care systems for diagnosis of heart diseases, and a wearable ECG sensor with long-term monitoring… (more)

Subjects/Keywords: Bluetooth Low Energy; Compressed Sensing; ECG compression

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APA (6th Edition):

Li, W. (2016). Wireless ECG system with bluetooth low energy and compressed sensing. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7398

Chicago Manual of Style (16th Edition):

Li, Wanbo. “Wireless ECG system with bluetooth low energy and compressed sensing.” 2016. Masters Thesis, University of Victoria. Accessed March 03, 2021. http://hdl.handle.net/1828/7398.

MLA Handbook (7th Edition):

Li, Wanbo. “Wireless ECG system with bluetooth low energy and compressed sensing.” 2016. Web. 03 Mar 2021.

Vancouver:

Li W. Wireless ECG system with bluetooth low energy and compressed sensing. [Internet] [Masters thesis]. University of Victoria; 2016. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1828/7398.

Council of Science Editors:

Li W. Wireless ECG system with bluetooth low energy and compressed sensing. [Masters Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7398


University of Southern California

18. Tehrani, Arash Saber. Neighbor discovery in device-to-device communication.

Degree: PhD, Electrical Engineering, 2015, University of Southern California

 The neighbor discovery in wireless networks is the problem of devices identifying other devices which they can communicate to effectively, i.e., those whose signal can… (more)

Subjects/Keywords: neighbor discovery; peer discovery; compressed sensing; D2D

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APA (6th Edition):

Tehrani, A. S. (2015). Neighbor discovery in device-to-device communication. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/625930/rec/4357

Chicago Manual of Style (16th Edition):

Tehrani, Arash Saber. “Neighbor discovery in device-to-device communication.” 2015. Doctoral Dissertation, University of Southern California. Accessed March 03, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/625930/rec/4357.

MLA Handbook (7th Edition):

Tehrani, Arash Saber. “Neighbor discovery in device-to-device communication.” 2015. Web. 03 Mar 2021.

Vancouver:

Tehrani AS. Neighbor discovery in device-to-device communication. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2021 Mar 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/625930/rec/4357.

Council of Science Editors:

Tehrani AS. Neighbor discovery in device-to-device communication. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/625930/rec/4357

19. Cui, Xuelin. Joint CT-MRI Image Reconstruction.

Degree: PhD, Electrical Engineering, 2018, Virginia Tech

 Medical imaging techniques play a central role in modern clinical diagnoses and treatments. Consequently, there is a constant demand to increase the overall quality of… (more)

Subjects/Keywords: Medical Imaging; Image Reconstruction; Compressed Sensing

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APA (6th Edition):

Cui, X. (2018). Joint CT-MRI Image Reconstruction. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86177

Chicago Manual of Style (16th Edition):

Cui, Xuelin. “Joint CT-MRI Image Reconstruction.” 2018. Doctoral Dissertation, Virginia Tech. Accessed March 03, 2021. http://hdl.handle.net/10919/86177.

MLA Handbook (7th Edition):

Cui, Xuelin. “Joint CT-MRI Image Reconstruction.” 2018. Web. 03 Mar 2021.

Vancouver:

Cui X. Joint CT-MRI Image Reconstruction. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/10919/86177.

Council of Science Editors:

Cui X. Joint CT-MRI Image Reconstruction. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/86177


Universiteit Utrecht

20. Zwaan, I.N. Compressed Sensing accelerated radial acquisitions for dynamic Magnetic Resonance Imaging.

Degree: 2013, Universiteit Utrecht

 We present a flexible method dubbed Accelerated Radial Compressed Sensing (ARCS) which uses Compressed Sensing to reconstruct 2D and 3D radial data. Our tests on… (more)

Subjects/Keywords: Compressed Sensing; CS; Magnetic Resonance Imaging; MRI; Accelerated Radial Compressed Sensing; ARCS

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APA (6th Edition):

Zwaan, I. N. (2013). Compressed Sensing accelerated radial acquisitions for dynamic Magnetic Resonance Imaging. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/262831

Chicago Manual of Style (16th Edition):

Zwaan, I N. “Compressed Sensing accelerated radial acquisitions for dynamic Magnetic Resonance Imaging.” 2013. Masters Thesis, Universiteit Utrecht. Accessed March 03, 2021. http://dspace.library.uu.nl:8080/handle/1874/262831.

MLA Handbook (7th Edition):

Zwaan, I N. “Compressed Sensing accelerated radial acquisitions for dynamic Magnetic Resonance Imaging.” 2013. Web. 03 Mar 2021.

Vancouver:

Zwaan IN. Compressed Sensing accelerated radial acquisitions for dynamic Magnetic Resonance Imaging. [Internet] [Masters thesis]. Universiteit Utrecht; 2013. [cited 2021 Mar 03]. Available from: http://dspace.library.uu.nl:8080/handle/1874/262831.

Council of Science Editors:

Zwaan IN. Compressed Sensing accelerated radial acquisitions for dynamic Magnetic Resonance Imaging. [Masters Thesis]. Universiteit Utrecht; 2013. Available from: http://dspace.library.uu.nl:8080/handle/1874/262831


UCLA

21. Barekat, Farzin. Applications of Stochastic Simulation and Compressed Sensing to Large Systems.

Degree: Mathematics, 2014, UCLA

 In this dissertation, three new algorithms for three distinct problems are proposed. The three distinct problems considered here have applications to stochastic modeling, compressive sensing,… (more)

Subjects/Keywords: Mathematics; Compressed Modes; Compressed Plane Waves; Compressive Sensing; Shift Orthogonal Basis Functions; Stochastic Modeling

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APA (6th Edition):

Barekat, F. (2014). Applications of Stochastic Simulation and Compressed Sensing to Large Systems. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/57j3m7fr

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):

Barekat, Farzin. “Applications of Stochastic Simulation and Compressed Sensing to Large Systems.” 2014. Thesis, UCLA. Accessed March 03, 2021. http://www.escholarship.org/uc/item/57j3m7fr.

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

MLA Handbook (7th Edition):

Barekat, Farzin. “Applications of Stochastic Simulation and Compressed Sensing to Large Systems.” 2014. Web. 03 Mar 2021.

Vancouver:

Barekat F. Applications of Stochastic Simulation and Compressed Sensing to Large Systems. [Internet] [Thesis]. UCLA; 2014. [cited 2021 Mar 03]. Available from: http://www.escholarship.org/uc/item/57j3m7fr.

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

Council of Science Editors:

Barekat F. Applications of Stochastic Simulation and Compressed Sensing to Large Systems. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/57j3m7fr

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


University of Oxford

22. Mendoza-Smith, Rodrigo. Numerical algorithms for the mathematics of information.

Degree: PhD, 2017, University of Oxford

 This thesis presents a series of algorithmic innovations in Combinatorial Compressed Sensing and Persistent Homology. The unifying strategy across these contributions is in translating structural… (more)

Subjects/Keywords: 514; Topological Data Analysis; Computational Algebraic Topology; Compressed sensing (Telecommunication); Numerical Analysis; Persistent Homology; Parallel Algorithms; Compressed sensing; Combinatorial compressed sensing; Expander graphs

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APA (6th Edition):

Mendoza-Smith, R. (2017). Numerical algorithms for the mathematics of information. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:451a418b-eca0-454f-8b54-7b6476056969 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757711

Chicago Manual of Style (16th Edition):

Mendoza-Smith, Rodrigo. “Numerical algorithms for the mathematics of information.” 2017. Doctoral Dissertation, University of Oxford. Accessed March 03, 2021. http://ora.ox.ac.uk/objects/uuid:451a418b-eca0-454f-8b54-7b6476056969 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757711.

MLA Handbook (7th Edition):

Mendoza-Smith, Rodrigo. “Numerical algorithms for the mathematics of information.” 2017. Web. 03 Mar 2021.

Vancouver:

Mendoza-Smith R. Numerical algorithms for the mathematics of information. [Internet] [Doctoral dissertation]. University of Oxford; 2017. [cited 2021 Mar 03]. Available from: http://ora.ox.ac.uk/objects/uuid:451a418b-eca0-454f-8b54-7b6476056969 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757711.

Council of Science Editors:

Mendoza-Smith R. Numerical algorithms for the mathematics of information. [Doctoral Dissertation]. University of Oxford; 2017. Available from: http://ora.ox.ac.uk/objects/uuid:451a418b-eca0-454f-8b54-7b6476056969 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757711

23. Sampaio, Phillipe Rodrigues. Teoria, métodos e aplicações de otimização multiobjetivo.

Degree: Mestrado, Ciência da Computação, 2011, University of São Paulo

Problemas com múltiplos objetivos são muito frequentes nas áreas de Otimização, Economia, Finanças, Transportes, Engenharia e várias outras. Como os objetivos são, geralmente, conflitantes, faz-se… (more)

Subjects/Keywords: compressed sensing; compressed sensing; multiobjective optimization; nonlinear programming; otimização de portfolio; otimização multiobjetivo; portfolio optimization; programação não-linear

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APA (6th Edition):

Sampaio, P. R. (2011). Teoria, métodos e aplicações de otimização multiobjetivo. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45134/tde-25042011-122013/ ;

Chicago Manual of Style (16th Edition):

Sampaio, Phillipe Rodrigues. “Teoria, métodos e aplicações de otimização multiobjetivo.” 2011. Masters Thesis, University of São Paulo. Accessed March 03, 2021. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-25042011-122013/ ;.

MLA Handbook (7th Edition):

Sampaio, Phillipe Rodrigues. “Teoria, métodos e aplicações de otimização multiobjetivo.” 2011. Web. 03 Mar 2021.

Vancouver:

Sampaio PR. Teoria, métodos e aplicações de otimização multiobjetivo. [Internet] [Masters thesis]. University of São Paulo; 2011. [cited 2021 Mar 03]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-25042011-122013/ ;.

Council of Science Editors:

Sampaio PR. Teoria, métodos e aplicações de otimização multiobjetivo. [Masters Thesis]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-25042011-122013/ ;

24. Lazarus, Carole. L'échantillonnage compressif en IRM : conception optimisée de trajectoires d’échantillonnage pour accélérer l’IRM : Compressed Sensing in MRI : optimization-based design of k-space filling curves for accelerated MRI.

Degree: Docteur es, Imagerie et physique médicale, 2018, Université Paris-Saclay (ComUE)

 L'imagerie par résonance magnétique (IRM) est l'une des modalités d'imagerie les plus puissantes et les plus sures pour examiner le corps humain. L'IRM de haute… (more)

Subjects/Keywords: IRM; Imagerie par résonance magnétique; Compressed sensing; Accélération; SPARKLING; MRI; Magnétic resonance imaging; Compressed sensing; Accélération; SPARKLING; K-space-trajectories

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APA (6th Edition):

Lazarus, C. (2018). L'échantillonnage compressif en IRM : conception optimisée de trajectoires d’échantillonnage pour accélérer l’IRM : Compressed Sensing in MRI : optimization-based design of k-space filling curves for accelerated MRI. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2018SACLS309

Chicago Manual of Style (16th Edition):

Lazarus, Carole. “L'échantillonnage compressif en IRM : conception optimisée de trajectoires d’échantillonnage pour accélérer l’IRM : Compressed Sensing in MRI : optimization-based design of k-space filling curves for accelerated MRI.” 2018. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed March 03, 2021. http://www.theses.fr/2018SACLS309.

MLA Handbook (7th Edition):

Lazarus, Carole. “L'échantillonnage compressif en IRM : conception optimisée de trajectoires d’échantillonnage pour accélérer l’IRM : Compressed Sensing in MRI : optimization-based design of k-space filling curves for accelerated MRI.” 2018. Web. 03 Mar 2021.

Vancouver:

Lazarus C. L'échantillonnage compressif en IRM : conception optimisée de trajectoires d’échantillonnage pour accélérer l’IRM : Compressed Sensing in MRI : optimization-based design of k-space filling curves for accelerated MRI. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2018. [cited 2021 Mar 03]. Available from: http://www.theses.fr/2018SACLS309.

Council of Science Editors:

Lazarus C. L'échantillonnage compressif en IRM : conception optimisée de trajectoires d’échantillonnage pour accélérer l’IRM : Compressed Sensing in MRI : optimization-based design of k-space filling curves for accelerated MRI. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2018. Available from: http://www.theses.fr/2018SACLS309


University of New South Wales

25. Movahed, Amin. Iterative Receiver Techniques for Source/Channel Decoding Using Compressed Sensing.

Degree: Engineering & Information Technology, 2016, University of New South Wales

 This thesis addresses the signal reconstruction problem in the quantised compressed sensing (CS) framework. In particular, signal reconstructionalgorithms for the scenario where the CS measurements… (more)

Subjects/Keywords: Iterative decoding; Compressed sensing; Turbo decoding; 1-bit compressed sensing; Soft-in soft-out decoding; Message passing methods

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APA (6th Edition):

Movahed, A. (2016). Iterative Receiver Techniques for Source/Channel Decoding Using Compressed Sensing. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/56996 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42259/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Movahed, Amin. “Iterative Receiver Techniques for Source/Channel Decoding Using Compressed Sensing.” 2016. Doctoral Dissertation, University of New South Wales. Accessed March 03, 2021. http://handle.unsw.edu.au/1959.4/56996 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42259/SOURCE02?view=true.

MLA Handbook (7th Edition):

Movahed, Amin. “Iterative Receiver Techniques for Source/Channel Decoding Using Compressed Sensing.” 2016. Web. 03 Mar 2021.

Vancouver:

Movahed A. Iterative Receiver Techniques for Source/Channel Decoding Using Compressed Sensing. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2021 Mar 03]. Available from: http://handle.unsw.edu.au/1959.4/56996 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42259/SOURCE02?view=true.

Council of Science Editors:

Movahed A. Iterative Receiver Techniques for Source/Channel Decoding Using Compressed Sensing. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/56996 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42259/SOURCE02?view=true


University of Toronto

26. Goukhshtein, Maxim. Distributed Coding of Compressively Sensed Sources.

Degree: 2017, University of Toronto

In this work we propose a new method for compressing multiple correlated sources with a very low-complexity encoder in the presence of side information. Our… (more)

Subjects/Keywords: Compressed sensing; Data compression; Distributed source coding; Multispectral image compression; Remote sensing; 0544

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APA (6th Edition):

Goukhshtein, M. (2017). Distributed Coding of Compressively Sensed Sources. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/79233

Chicago Manual of Style (16th Edition):

Goukhshtein, Maxim. “Distributed Coding of Compressively Sensed Sources.” 2017. Masters Thesis, University of Toronto. Accessed March 03, 2021. http://hdl.handle.net/1807/79233.

MLA Handbook (7th Edition):

Goukhshtein, Maxim. “Distributed Coding of Compressively Sensed Sources.” 2017. Web. 03 Mar 2021.

Vancouver:

Goukhshtein M. Distributed Coding of Compressively Sensed Sources. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1807/79233.

Council of Science Editors:

Goukhshtein M. Distributed Coding of Compressively Sensed Sources. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/79233


Delft University of Technology

27. Das, Bishwadeep (author). Active Semi-Supervised Learning For Diffusions on Graphs.

Degree: 2019, Delft University of Technology

In statistical learning over large data-sets, labeling all points is expensive and time-consuming. Semi-supervised classification allows learning with very few labels. Naturally, selecting a few… (more)

Subjects/Keywords: active learning; semi-supervised learning; diffusion on graphs; sparse sensing; compressed sensing

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APA (6th Edition):

Das, B. (. (2019). Active Semi-Supervised Learning For Diffusions on Graphs. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ae389541-9316-47dd-8fbc-b96c92da3c3b

Chicago Manual of Style (16th Edition):

Das, Bishwadeep (author). “Active Semi-Supervised Learning For Diffusions on Graphs.” 2019. Masters Thesis, Delft University of Technology. Accessed March 03, 2021. http://resolver.tudelft.nl/uuid:ae389541-9316-47dd-8fbc-b96c92da3c3b.

MLA Handbook (7th Edition):

Das, Bishwadeep (author). “Active Semi-Supervised Learning For Diffusions on Graphs.” 2019. Web. 03 Mar 2021.

Vancouver:

Das B(. Active Semi-Supervised Learning For Diffusions on Graphs. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 03]. Available from: http://resolver.tudelft.nl/uuid:ae389541-9316-47dd-8fbc-b96c92da3c3b.

Council of Science Editors:

Das B(. Active Semi-Supervised Learning For Diffusions on Graphs. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:ae389541-9316-47dd-8fbc-b96c92da3c3b


University of Notre Dame

28. Zhanwei Sun. Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing</h1>.

Degree: Electrical Engineering, 2013, University of Notre Dame

  This dissertation studies the problem of wideband spectrum sensing for cognitive radio by partitioning into four fundamental elements: system modeling, performance metrics, sampling schemes,… (more)

Subjects/Keywords: sub-Nyquist sampling; wideband spectrum sensing; dynamic spectrum access; compressed sensing; cognitive radio

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APA (6th Edition):

Sun, Z. (2013). Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/td96k071s1s

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):

Sun, Zhanwei. “Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing</h1>.” 2013. Thesis, University of Notre Dame. Accessed March 03, 2021. https://curate.nd.edu/show/td96k071s1s.

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

MLA Handbook (7th Edition):

Sun, Zhanwei. “Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing</h1>.” 2013. Web. 03 Mar 2021.

Vancouver:

Sun Z. Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing</h1>. [Internet] [Thesis]. University of Notre Dame; 2013. [cited 2021 Mar 03]. Available from: https://curate.nd.edu/show/td96k071s1s.

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

Council of Science Editors:

Sun Z. Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing</h1>. [Thesis]. University of Notre Dame; 2013. Available from: https://curate.nd.edu/show/td96k071s1s

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


University of Utah

29. Chen, Liyong. Image reconstruction in dynamic contrast enhanced magnetic resonance imaging.

Degree: PhD, Bioengineering, 2012, University of Utah

 Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is a powerful tool to detect cardiac diseases and tumors, and both spatial resolution and temporalresolution are important… (more)

Subjects/Keywords: Cardiac; Compressed sensing; Constrained reconstruction; Image reconstruction; MRI

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APA (6th Edition):

Chen, L. (2012). Image reconstruction in dynamic contrast enhanced magnetic resonance imaging. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/690/rec/1290

Chicago Manual of Style (16th Edition):

Chen, Liyong. “Image reconstruction in dynamic contrast enhanced magnetic resonance imaging.” 2012. Doctoral Dissertation, University of Utah. Accessed March 03, 2021. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/690/rec/1290.

MLA Handbook (7th Edition):

Chen, Liyong. “Image reconstruction in dynamic contrast enhanced magnetic resonance imaging.” 2012. Web. 03 Mar 2021.

Vancouver:

Chen L. Image reconstruction in dynamic contrast enhanced magnetic resonance imaging. [Internet] [Doctoral dissertation]. University of Utah; 2012. [cited 2021 Mar 03]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/690/rec/1290.

Council of Science Editors:

Chen L. Image reconstruction in dynamic contrast enhanced magnetic resonance imaging. [Doctoral Dissertation]. University of Utah; 2012. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/690/rec/1290


University of California – Irvine

30. Yin, Penghang. Non-convex Optimization Methods for Sparse and Low-rank Reconstruction.

Degree: Mathematics, 2016, University of California – Irvine

 An algorithmic framework, based on the difference of convex functions algorithm, is proposed for minimizing difference of ℓ1 and ℓ2 norms (ℓ1-2 minimization) as well… (more)

Subjects/Keywords: Applied mathematics; compressed sensing; non-convex; phase retrieval

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

APA (6th Edition):

Yin, P. (2016). Non-convex Optimization Methods for Sparse and Low-rank Reconstruction. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/31z2p19f

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):

Yin, Penghang. “Non-convex Optimization Methods for Sparse and Low-rank Reconstruction.” 2016. Thesis, University of California – Irvine. Accessed March 03, 2021. http://www.escholarship.org/uc/item/31z2p19f.

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

MLA Handbook (7th Edition):

Yin, Penghang. “Non-convex Optimization Methods for Sparse and Low-rank Reconstruction.” 2016. Web. 03 Mar 2021.

Vancouver:

Yin P. Non-convex Optimization Methods for Sparse and Low-rank Reconstruction. [Internet] [Thesis]. University of California – Irvine; 2016. [cited 2021 Mar 03]. Available from: http://www.escholarship.org/uc/item/31z2p19f.

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

Council of Science Editors:

Yin P. Non-convex Optimization Methods for Sparse and Low-rank Reconstruction. [Thesis]. University of California – Irvine; 2016. Available from: http://www.escholarship.org/uc/item/31z2p19f

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

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