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Université de Grenoble

1.
Coppa, Bertrand.
Sur quelques applications du codage parcimonieux et sa mise en oeuvre : On compressed *sampling* applications and its implementation.

Degree: Docteur es, Sciences et technologie industrielles, 2013, Université de Grenoble

URL: http://www.theses.fr/2013GRENT009

►

Le codage parcimonieux permet la reconstruction d'un signal à partir de quelques projections linéaires de celui-ci, sous l'hypothèse que le signal se décompose de manière… (more)

Subjects/Keywords: Codage parcimonieux; Problème inverse; Minimisation L1; Sparse sampling; Compressed sampling; Inverse problem; L1-minimization

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Coppa, B. (2013). Sur quelques applications du codage parcimonieux et sa mise en oeuvre : On compressed sampling applications and its implementation. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2013GRENT009

Chicago Manual of Style (16^{th} Edition):

Coppa, Bertrand. “Sur quelques applications du codage parcimonieux et sa mise en oeuvre : On compressed sampling applications and its implementation.” 2013. Doctoral Dissertation, Université de Grenoble. Accessed January 22, 2021. http://www.theses.fr/2013GRENT009.

MLA Handbook (7^{th} Edition):

Coppa, Bertrand. “Sur quelques applications du codage parcimonieux et sa mise en oeuvre : On compressed sampling applications and its implementation.” 2013. Web. 22 Jan 2021.

Vancouver:

Coppa B. Sur quelques applications du codage parcimonieux et sa mise en oeuvre : On compressed sampling applications and its implementation. [Internet] [Doctoral dissertation]. Université de Grenoble; 2013. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2013GRENT009.

Council of Science Editors:

Coppa B. Sur quelques applications du codage parcimonieux et sa mise en oeuvre : On compressed sampling applications and its implementation. [Doctoral Dissertation]. Université de Grenoble; 2013. Available from: http://www.theses.fr/2013GRENT009

Rochester Institute of Technology

2.
Liu, Dengyu.
Efficient Space-Time *Sampling* with Pixel-wise Coded Exposure for High Speed Imaging.

Degree: MS, Chester F. Carlson Center for Imaging Science (COS), 2015, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/8906

► Cameras face a fundamental tradeoff between spatial and temporal resolution. Digital still cameras can capture images with high spatial resolution, but most high-speed video…
(more)

Subjects/Keywords: Computational camera; Dictionary learning; Space-time sampling; Sparse reconstruction

Record Details Similar Records

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

APA (6^{th} Edition):

Liu, D. (2015). Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8906

Chicago Manual of Style (16^{th} Edition):

Liu, Dengyu. “Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging.” 2015. Masters Thesis, Rochester Institute of Technology. Accessed January 22, 2021. https://scholarworks.rit.edu/theses/8906.

MLA Handbook (7^{th} Edition):

Liu, Dengyu. “Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging.” 2015. Web. 22 Jan 2021.

Vancouver:

Liu D. Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging. [Internet] [Masters thesis]. Rochester Institute of Technology; 2015. [cited 2021 Jan 22]. Available from: https://scholarworks.rit.edu/theses/8906.

Council of Science Editors:

Liu D. Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging. [Masters Thesis]. Rochester Institute of Technology; 2015. Available from: https://scholarworks.rit.edu/theses/8906

Penn State University

3. Wilson, Scott Alden. Compressive Microwave Radar Holography.

Degree: 2014, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/23274

► Radar holography has been established as an effective image reconstruction process by which the measured diffraction pattern across an aperture provides information of a three-dimensional…
(more)

Subjects/Keywords: Compressive sensing; sparse sampling; near-field imaging; radar imaging; microwave holography

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APA (6^{th} Edition):

Wilson, S. A. (2014). Compressive Microwave Radar Holography. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/23274

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wilson, Scott Alden. “Compressive Microwave Radar Holography.” 2014. Thesis, Penn State University. Accessed January 22, 2021. https://submit-etda.libraries.psu.edu/catalog/23274.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wilson, Scott Alden. “Compressive Microwave Radar Holography.” 2014. Web. 22 Jan 2021.

Vancouver:

Wilson SA. Compressive Microwave Radar Holography. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 Jan 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/23274.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wilson SA. Compressive Microwave Radar Holography. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/23274

Not specified: Masters Thesis or Doctoral Dissertation

McMaster University

4.
Chinta, Venkateswarao Yogesh.
*Sparse**Sampling* of Velocity MRI.

Degree: MASc, 2011, McMaster University

URL: http://hdl.handle.net/11375/10439

►

Standard MRI is used to image objects at rest. In addition to standard MRI images, which measure tissues at rest, Phase Contrast MRI can… (more)

Subjects/Keywords: Optimization; Velocity MRI; Sparse sampling; k-space; Computational Engineering; Computational Engineering

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

APA (6^{th} Edition):

Chinta, V. Y. (2011). Sparse Sampling of Velocity MRI. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/10439

Chicago Manual of Style (16^{th} Edition):

Chinta, Venkateswarao Yogesh. “Sparse Sampling of Velocity MRI.” 2011. Masters Thesis, McMaster University. Accessed January 22, 2021. http://hdl.handle.net/11375/10439.

MLA Handbook (7^{th} Edition):

Chinta, Venkateswarao Yogesh. “Sparse Sampling of Velocity MRI.” 2011. Web. 22 Jan 2021.

Vancouver:

Chinta VY. Sparse Sampling of Velocity MRI. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/11375/10439.

Council of Science Editors:

Chinta VY. Sparse Sampling of Velocity MRI. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/10439

5.
bi, xiaofei.
Compressed *Sampling* for High Frequency Receivers Applications.

Degree: Mathematics and Natural Sciences, 2011, University of Gävle

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10877

► In digital signal processing field, for recovering the signal without distortion, Shannon *sampling* theory must be fulfilled in the traditional signal *sampling*. However, in…
(more)

Subjects/Keywords: Compressive Sampling (CS); sparse representation; measurement matrix; signal reconstruction.

Record Details Similar Records

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

APA (6^{th} Edition):

bi, x. (2011). Compressed Sampling for High Frequency Receivers Applications. (Thesis). University of Gävle. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10877

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

bi, xiaofei. “Compressed Sampling for High Frequency Receivers Applications.” 2011. Thesis, University of Gävle. Accessed January 22, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10877.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

bi, xiaofei. “Compressed Sampling for High Frequency Receivers Applications.” 2011. Web. 22 Jan 2021.

Vancouver:

bi x. Compressed Sampling for High Frequency Receivers Applications. [Internet] [Thesis]. University of Gävle; 2011. [cited 2021 Jan 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10877.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

bi x. Compressed Sampling for High Frequency Receivers Applications. [Thesis]. University of Gävle; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10877

Not specified: Masters Thesis or Doctoral Dissertation

Duke University

6. Werner-Allen, Jonathan. Structural and Kinetic Characterization of RNA Polymerase II C-Terminal Domain Phosphatase Ssu72 and Development of New Methods for NMR Studies of Large Proteins .

Degree: 2011, Duke University

URL: http://hdl.handle.net/10161/5022

► Ssu72 is a protein phosphatase that selectively targets phosphorylated serine residues at the 5th position (pS5) in the heptad repeats of the C-terminal domain…
(more)

Subjects/Keywords: Biochemistry; cis proline; NMR; RNAPII CTD; SCRUB; sparse sampling; Ssu72

Record Details Similar Records

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APA (6^{th} Edition):

Werner-Allen, J. (2011). Structural and Kinetic Characterization of RNA Polymerase II C-Terminal Domain Phosphatase Ssu72 and Development of New Methods for NMR Studies of Large Proteins . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/5022

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Werner-Allen, Jonathan. “Structural and Kinetic Characterization of RNA Polymerase II C-Terminal Domain Phosphatase Ssu72 and Development of New Methods for NMR Studies of Large Proteins .” 2011. Thesis, Duke University. Accessed January 22, 2021. http://hdl.handle.net/10161/5022.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Werner-Allen, Jonathan. “Structural and Kinetic Characterization of RNA Polymerase II C-Terminal Domain Phosphatase Ssu72 and Development of New Methods for NMR Studies of Large Proteins .” 2011. Web. 22 Jan 2021.

Vancouver:

Werner-Allen J. Structural and Kinetic Characterization of RNA Polymerase II C-Terminal Domain Phosphatase Ssu72 and Development of New Methods for NMR Studies of Large Proteins . [Internet] [Thesis]. Duke University; 2011. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10161/5022.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Werner-Allen J. Structural and Kinetic Characterization of RNA Polymerase II C-Terminal Domain Phosphatase Ssu72 and Development of New Methods for NMR Studies of Large Proteins . [Thesis]. Duke University; 2011. Available from: http://hdl.handle.net/10161/5022

Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

7. Kim, Youngchun. Signal acquisition challenges in mobile systems.

Degree: PhD, Electrical and Computer Engineering, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/68089

► In recent decades, the advent of mobile computing has changed human lives by providing information that was not available in the past. The mobile computing…
(more)

Subjects/Keywords: Sparse signal processing; Compressed sensing; Random sampling; Data converter; Sequential detection

Record Details Similar Records

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

APA (6^{th} Edition):

Kim, Y. (2018). Signal acquisition challenges in mobile systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68089

Chicago Manual of Style (16^{th} Edition):

Kim, Youngchun. “Signal acquisition challenges in mobile systems.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed January 22, 2021. http://hdl.handle.net/2152/68089.

MLA Handbook (7^{th} Edition):

Kim, Youngchun. “Signal acquisition challenges in mobile systems.” 2018. Web. 22 Jan 2021.

Vancouver:

Kim Y. Signal acquisition challenges in mobile systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/2152/68089.

Council of Science Editors:

Kim Y. Signal acquisition challenges in mobile systems. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68089

University of Florida

8. Xu, Xie. Volumetric Data Reconstruction from Irregular Samples and Compressively Sensed Measurements.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2014, University of Florida

URL: https://ufdc.ufl.edu/UFE0046527

► *Sampling* and reconstruction of volumetric data are ubiquitous throughout biomedical imaging, scientific simulation, and visualization applications. In this dissertation, we focus on the reconstruction of…
(more)

Subjects/Keywords: Approximation; Boxes; Conceptual lattices; Datasets; Face centered cubic lattices; Interpolation; Mathematical lattices; Sampling rates; Signals; Supernova remnants; box-splines – compressed-sensing – reconstruction – sampling – sparse-approximation – sparse-representation – volumetric-data

Record Details Similar Records

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

APA (6^{th} Edition):

Xu, X. (2014). Volumetric Data Reconstruction from Irregular Samples and Compressively Sensed Measurements. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0046527

Chicago Manual of Style (16^{th} Edition):

Xu, Xie. “Volumetric Data Reconstruction from Irregular Samples and Compressively Sensed Measurements.” 2014. Doctoral Dissertation, University of Florida. Accessed January 22, 2021. https://ufdc.ufl.edu/UFE0046527.

MLA Handbook (7^{th} Edition):

Xu, Xie. “Volumetric Data Reconstruction from Irregular Samples and Compressively Sensed Measurements.” 2014. Web. 22 Jan 2021.

Vancouver:

Xu X. Volumetric Data Reconstruction from Irregular Samples and Compressively Sensed Measurements. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2021 Jan 22]. Available from: https://ufdc.ufl.edu/UFE0046527.

Council of Science Editors:

Xu X. Volumetric Data Reconstruction from Irregular Samples and Compressively Sensed Measurements. [Doctoral Dissertation]. University of Florida; 2014. Available from: https://ufdc.ufl.edu/UFE0046527

McMaster University

9. Pournaghi, Reza. Coded Acquisition of High Speed Videos with Multiple Cameras.

Degree: PhD, 2015, McMaster University

URL: http://hdl.handle.net/11375/16887

►

High frame rate video (HFV) is an important investigational tool in sciences, engineering and military. In ultrahigh speed imaging, the obtainable temporal, spatial and spectral… (more)

Subjects/Keywords: Compressive Sensing; High Speed Video; Coded Acquisition; Random Sampling; Sparse Representation; Digital Cameras; Rolling Shutter

Record Details Similar Records

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

APA (6^{th} Edition):

Pournaghi, R. (2015). Coded Acquisition of High Speed Videos with Multiple Cameras. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/16887

Chicago Manual of Style (16^{th} Edition):

Pournaghi, Reza. “Coded Acquisition of High Speed Videos with Multiple Cameras.” 2015. Doctoral Dissertation, McMaster University. Accessed January 22, 2021. http://hdl.handle.net/11375/16887.

MLA Handbook (7^{th} Edition):

Pournaghi, Reza. “Coded Acquisition of High Speed Videos with Multiple Cameras.” 2015. Web. 22 Jan 2021.

Vancouver:

Pournaghi R. Coded Acquisition of High Speed Videos with Multiple Cameras. [Internet] [Doctoral dissertation]. McMaster University; 2015. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/11375/16887.

Council of Science Editors:

Pournaghi R. Coded Acquisition of High Speed Videos with Multiple Cameras. [Doctoral Dissertation]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/16887

Delft University of Technology

10.
Ortiz Jimenez, Guillermo (author).
Multidomain Graph Signal Processing: Learning and * Sampling*.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:6fd6b441-1694-473e-a317-b60d168f19a7

► In this era of data deluge, we are overwhelmed with massive volumes of extremely complex datasets. Data generated today is complex because it lacks a…
(more)

Subjects/Keywords: deep learning; graph signal processing; sparse sampling; product graphs; submodular optimization; tensors

Record Details Similar Records

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

APA (6^{th} Edition):

Ortiz Jimenez, G. (. (2018). Multidomain Graph Signal Processing: Learning and Sampling. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6fd6b441-1694-473e-a317-b60d168f19a7

Chicago Manual of Style (16^{th} Edition):

Ortiz Jimenez, Guillermo (author). “Multidomain Graph Signal Processing: Learning and Sampling.” 2018. Masters Thesis, Delft University of Technology. Accessed January 22, 2021. http://resolver.tudelft.nl/uuid:6fd6b441-1694-473e-a317-b60d168f19a7.

MLA Handbook (7^{th} Edition):

Ortiz Jimenez, Guillermo (author). “Multidomain Graph Signal Processing: Learning and Sampling.” 2018. Web. 22 Jan 2021.

Vancouver:

Ortiz Jimenez G(. Multidomain Graph Signal Processing: Learning and Sampling. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 22]. Available from: http://resolver.tudelft.nl/uuid:6fd6b441-1694-473e-a317-b60d168f19a7.

Council of Science Editors:

Ortiz Jimenez G(. Multidomain Graph Signal Processing: Learning and Sampling. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:6fd6b441-1694-473e-a317-b60d168f19a7

University of Illinois – Urbana-Champaign

11. Lam, Fan. A subspace approach to high-resolution magnetic resonance spectroscopic imaging.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/78611

► With its unique capability to obtain spatially resolved biochemical profiles from the human body noninvasively, magnetic resonance spectroscopic imaging (MRSI) has been recognized as a…
(more)

Subjects/Keywords: Magnetic resonance spectroscopic imaging; Partial separability; Subspace modeling; Low-rank model; Sparse sampling

Record Details Similar Records

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

APA (6^{th} Edition):

Lam, F. (2015). A subspace approach to high-resolution magnetic resonance spectroscopic imaging. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78611

Chicago Manual of Style (16^{th} Edition):

Lam, Fan. “A subspace approach to high-resolution magnetic resonance spectroscopic imaging.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 22, 2021. http://hdl.handle.net/2142/78611.

MLA Handbook (7^{th} Edition):

Lam, Fan. “A subspace approach to high-resolution magnetic resonance spectroscopic imaging.” 2015. Web. 22 Jan 2021.

Vancouver:

Lam F. A subspace approach to high-resolution magnetic resonance spectroscopic imaging. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/2142/78611.

Council of Science Editors:

Lam F. A subspace approach to high-resolution magnetic resonance spectroscopic imaging. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78611

12.
Ajamian, Tzila.
Exploration de l’Acquisition Comprimée appliquée à la Réflectométrie : Exploration of Compressive *Sampling* for Wire Diagnosis Systems Based on Reflectometry.

Degree: Docteur es, Signal, Image, Vision, 2019, Ecole centrale de Nantes

URL: http://www.theses.fr/2019ECDN0040

►

La réflectométrie, une technique utilisée en diagnostic filaire, permet la détection et la localisation de défauts des câbles. Alors que, les Convertisseurs Analogique-Numérique sont indispensables… (more)

Subjects/Keywords: Diagnostic filaire; Acquisition comprimée; Matrices parcimonieuses; Wire diagnosis; Compressive Sampling; Sparse matrices

Record Details Similar Records

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

APA (6^{th} Edition):

Ajamian, T. (2019). Exploration de l’Acquisition Comprimée appliquée à la Réflectométrie : Exploration of Compressive Sampling for Wire Diagnosis Systems Based on Reflectometry. (Doctoral Dissertation). Ecole centrale de Nantes. Retrieved from http://www.theses.fr/2019ECDN0040

Chicago Manual of Style (16^{th} Edition):

Ajamian, Tzila. “Exploration de l’Acquisition Comprimée appliquée à la Réflectométrie : Exploration of Compressive Sampling for Wire Diagnosis Systems Based on Reflectometry.” 2019. Doctoral Dissertation, Ecole centrale de Nantes. Accessed January 22, 2021. http://www.theses.fr/2019ECDN0040.

MLA Handbook (7^{th} Edition):

Ajamian, Tzila. “Exploration de l’Acquisition Comprimée appliquée à la Réflectométrie : Exploration of Compressive Sampling for Wire Diagnosis Systems Based on Reflectometry.” 2019. Web. 22 Jan 2021.

Vancouver:

Ajamian T. Exploration de l’Acquisition Comprimée appliquée à la Réflectométrie : Exploration of Compressive Sampling for Wire Diagnosis Systems Based on Reflectometry. [Internet] [Doctoral dissertation]. Ecole centrale de Nantes; 2019. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2019ECDN0040.

Council of Science Editors:

Ajamian T. Exploration de l’Acquisition Comprimée appliquée à la Réflectométrie : Exploration of Compressive Sampling for Wire Diagnosis Systems Based on Reflectometry. [Doctoral Dissertation]. Ecole centrale de Nantes; 2019. Available from: http://www.theses.fr/2019ECDN0040

University of Maryland

13.
Reddy, Nagilla Dikpal.
* SPARSE* ACQUISITION AND RECONSTRUCTION FOR SOME COMPUTER VISION PROBLEMS.

Degree: Electrical Engineering, 2011, University of Maryland

URL: http://hdl.handle.net/1903/11984

► *Sparse* representation, acquisition and reconstruction of signals guided by theory of Compressive Sensing (CS) has become an active research research topic over the last few…
(more)

Subjects/Keywords: Electrical engineering; Background Subtraction; Compressive Sensing; High Speed Cameras; Sampling; Sparse Representation; Video Reconstrcution

Record Details Similar Records

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

APA (6^{th} Edition):

Reddy, N. D. (2011). SPARSE ACQUISITION AND RECONSTRUCTION FOR SOME COMPUTER VISION PROBLEMS. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/11984

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Reddy, Nagilla Dikpal. “SPARSE ACQUISITION AND RECONSTRUCTION FOR SOME COMPUTER VISION PROBLEMS.” 2011. Thesis, University of Maryland. Accessed January 22, 2021. http://hdl.handle.net/1903/11984.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Reddy, Nagilla Dikpal. “SPARSE ACQUISITION AND RECONSTRUCTION FOR SOME COMPUTER VISION PROBLEMS.” 2011. Web. 22 Jan 2021.

Vancouver:

Reddy ND. SPARSE ACQUISITION AND RECONSTRUCTION FOR SOME COMPUTER VISION PROBLEMS. [Internet] [Thesis]. University of Maryland; 2011. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1903/11984.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reddy ND. SPARSE ACQUISITION AND RECONSTRUCTION FOR SOME COMPUTER VISION PROBLEMS. [Thesis]. University of Maryland; 2011. Available from: http://hdl.handle.net/1903/11984

Not specified: Masters Thesis or Doctoral Dissertation

Oklahoma State University

14.
Mamun, S. M. Abdullah Al.
Data-driven *sparse* estimation of nonlinear fluid flows.

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

URL: http://hdl.handle.net/11244/325505

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Mamun, S M Abdullah Al. “Data-driven sparse estimation of nonlinear fluid flows.” 2020. Thesis, Oklahoma State University. Accessed January 22, 2021. http://hdl.handle.net/11244/325505.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mamun, S M Abdullah Al. “Data-driven sparse estimation of nonlinear fluid flows.” 2020. Web. 22 Jan 2021.

Vancouver:

Mamun SMAA. Data-driven sparse estimation of nonlinear fluid flows. [Internet] [Thesis]. Oklahoma State University; 2020. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/11244/325505.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Colorado

15.
Peng, Ji.
Uncertainty Quantification via *Sparse* Polynomial Chaos Expansion.

Degree: PhD, Mechanical Engineering, 2015, University of Colorado

URL: https://scholar.colorado.edu/mcen_gradetds/112

► Uncertainty quantification (UQ) is an emerging research area that aims to develop methods for accurate predictions of quantities of interest (QoI's) from complex engineering…
(more)

Subjects/Keywords: Basis design; Compressive sampling; Polynomial chaos expansion; Sparse approximation; Uncertainty quantification; Applied Mathematics; Mechanical Engineering; Statistics and Probability

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

APA (6^{th} Edition):

Peng, J. (2015). Uncertainty Quantification via Sparse Polynomial Chaos Expansion. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/mcen_gradetds/112

Chicago Manual of Style (16^{th} Edition):

Peng, Ji. “Uncertainty Quantification via Sparse Polynomial Chaos Expansion.” 2015. Doctoral Dissertation, University of Colorado. Accessed January 22, 2021. https://scholar.colorado.edu/mcen_gradetds/112.

MLA Handbook (7^{th} Edition):

Peng, Ji. “Uncertainty Quantification via Sparse Polynomial Chaos Expansion.” 2015. Web. 22 Jan 2021.

Vancouver:

Peng J. Uncertainty Quantification via Sparse Polynomial Chaos Expansion. [Internet] [Doctoral dissertation]. University of Colorado; 2015. [cited 2021 Jan 22]. Available from: https://scholar.colorado.edu/mcen_gradetds/112.

Council of Science Editors:

Peng J. Uncertainty Quantification via Sparse Polynomial Chaos Expansion. [Doctoral Dissertation]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/mcen_gradetds/112

16.
Khaled, Yassine.
Contribution à la commande et l'observation des systèmes dynamiques continus sous mesures clairsemées : Contribution to the observation and control of continuous systems under *sparse* measurements.

Degree: Docteur es, Génie électrique et électronique - Cergy, 2014, Cergy-Pontoise; Université Abou Bekr Belkaid (Tlemcen, Algérie)

URL: http://www.theses.fr/2014CERG0706

►

Les travaux de cette thèse portent sur l'analyse de stabilité des systèmes dynamiques impulsionnels et la synthèse d'observateurs pour les systèmes dynamiques continus avec mesures… (more)

Subjects/Keywords: Observateurs impulsionnels; Mesures clairsemées; Systèmes sous échantillonnage; Acquisition compressive; Systèmes dynamiques impulsionnels; Chaos; Impulsive observer; Sparse measurement; System under sampling; System under sampling; Impulsive dynamical systems; Chaos

Record Details Similar Records

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

APA (6^{th} Edition):

Khaled, Y. (2014). Contribution à la commande et l'observation des systèmes dynamiques continus sous mesures clairsemées : Contribution to the observation and control of continuous systems under sparse measurements. (Doctoral Dissertation). Cergy-Pontoise; Université Abou Bekr Belkaid (Tlemcen, Algérie). Retrieved from http://www.theses.fr/2014CERG0706

Chicago Manual of Style (16^{th} Edition):

Khaled, Yassine. “Contribution à la commande et l'observation des systèmes dynamiques continus sous mesures clairsemées : Contribution to the observation and control of continuous systems under sparse measurements.” 2014. Doctoral Dissertation, Cergy-Pontoise; Université Abou Bekr Belkaid (Tlemcen, Algérie). Accessed January 22, 2021. http://www.theses.fr/2014CERG0706.

MLA Handbook (7^{th} Edition):

Khaled, Yassine. “Contribution à la commande et l'observation des systèmes dynamiques continus sous mesures clairsemées : Contribution to the observation and control of continuous systems under sparse measurements.” 2014. Web. 22 Jan 2021.

Vancouver:

Khaled Y. Contribution à la commande et l'observation des systèmes dynamiques continus sous mesures clairsemées : Contribution to the observation and control of continuous systems under sparse measurements. [Internet] [Doctoral dissertation]. Cergy-Pontoise; Université Abou Bekr Belkaid (Tlemcen, Algérie); 2014. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2014CERG0706.

Council of Science Editors:

Khaled Y. Contribution à la commande et l'observation des systèmes dynamiques continus sous mesures clairsemées : Contribution to the observation and control of continuous systems under sparse measurements. [Doctoral Dissertation]. Cergy-Pontoise; Université Abou Bekr Belkaid (Tlemcen, Algérie); 2014. Available from: http://www.theses.fr/2014CERG0706

17.
Wajer, F.T.A.W.
Non-Cartesian MRI scan time reduction through *sparse* * sampling*.

Degree: 2001, Ponsen & Looijen

URL: http://resolver.tudelft.nl/uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; urn:NBN:nl:ui:24-uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; urn:NBN:nl:ui:24-uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; http://resolver.tudelft.nl/uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec

► Non-Cartesian MRI Scan-Time Reduction through *Sparse* *Sampling* Magnetic resonance imaging (MRI) signals are measured in the Fourier domain, also called k-space. Samples of the MRI…
(more)

Subjects/Keywords: magnetic resonance; k-space; gridding; bayesian reconstruction; sparse sampling; irregular sampling

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

APA (6^{th} Edition):

Wajer, F. T. A. W. (2001). Non-Cartesian MRI scan time reduction through sparse sampling. (Doctoral Dissertation). Ponsen & Looijen. Retrieved from http://resolver.tudelft.nl/uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; urn:NBN:nl:ui:24-uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; urn:NBN:nl:ui:24-uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; http://resolver.tudelft.nl/uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec

Chicago Manual of Style (16^{th} Edition):

Wajer, F T A W. “Non-Cartesian MRI scan time reduction through sparse sampling.” 2001. Doctoral Dissertation, Ponsen & Looijen. Accessed January 22, 2021. http://resolver.tudelft.nl/uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; urn:NBN:nl:ui:24-uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; urn:NBN:nl:ui:24-uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; http://resolver.tudelft.nl/uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec.

MLA Handbook (7^{th} Edition):

Wajer, F T A W. “Non-Cartesian MRI scan time reduction through sparse sampling.” 2001. Web. 22 Jan 2021.

Vancouver:

Wajer FTAW. Non-Cartesian MRI scan time reduction through sparse sampling. [Internet] [Doctoral dissertation]. Ponsen & Looijen; 2001. [cited 2021 Jan 22]. Available from: http://resolver.tudelft.nl/uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; urn:NBN:nl:ui:24-uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; urn:NBN:nl:ui:24-uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; http://resolver.tudelft.nl/uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec.

Council of Science Editors:

Wajer FTAW. Non-Cartesian MRI scan time reduction through sparse sampling. [Doctoral Dissertation]. Ponsen & Looijen; 2001. Available from: http://resolver.tudelft.nl/uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; urn:NBN:nl:ui:24-uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; urn:NBN:nl:ui:24-uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec ; http://resolver.tudelft.nl/uuid:60b5f3ca-4700-4822-8f58-92c6987cd5ec

Delft University of Technology

18.
Chepuri, S.P.
* Sparse* Sensing for Statistical Inference: Theory, Algorithms, and Applications.

Degree: 2016, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; urn:NBN:nl:ui:24-uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; urn:NBN:nl:ui:24-uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; http://resolver.tudelft.nl/uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9

► In today's society, we are flooded with massive volumes of data in the order of a billion gigabytes on a daily basis from pervasive sensors.…
(more)

Subjects/Keywords: sparse sensing; sensor networks; sampling; estimation; detection; filtering; localization; clock synchronization

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

APA (6^{th} Edition):

Chepuri, S. P. (2016). Sparse Sensing for Statistical Inference: Theory, Algorithms, and Applications. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; urn:NBN:nl:ui:24-uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; urn:NBN:nl:ui:24-uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; http://resolver.tudelft.nl/uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9

Chicago Manual of Style (16^{th} Edition):

Chepuri, S P. “Sparse Sensing for Statistical Inference: Theory, Algorithms, and Applications.” 2016. Doctoral Dissertation, Delft University of Technology. Accessed January 22, 2021. http://resolver.tudelft.nl/uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; urn:NBN:nl:ui:24-uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; urn:NBN:nl:ui:24-uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; http://resolver.tudelft.nl/uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9.

MLA Handbook (7^{th} Edition):

Chepuri, S P. “Sparse Sensing for Statistical Inference: Theory, Algorithms, and Applications.” 2016. Web. 22 Jan 2021.

Vancouver:

Chepuri SP. Sparse Sensing for Statistical Inference: Theory, Algorithms, and Applications. [Internet] [Doctoral dissertation]. Delft University of Technology; 2016. [cited 2021 Jan 22]. Available from: http://resolver.tudelft.nl/uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; urn:NBN:nl:ui:24-uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; urn:NBN:nl:ui:24-uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; http://resolver.tudelft.nl/uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9.

Council of Science Editors:

Chepuri SP. Sparse Sensing for Statistical Inference: Theory, Algorithms, and Applications. [Doctoral Dissertation]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; urn:NBN:nl:ui:24-uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; urn:NBN:nl:ui:24-uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9 ; http://resolver.tudelft.nl/uuid:7776e6e3-5ea8-4aaa-892f-c26011bf96b9

19.
Schwartz, Tal Shimon.
Data-guided statistical *sparse* measurements modeling for compressive sensing.

Degree: 2013, University of Waterloo

URL: http://hdl.handle.net/10012/7418

► Digital image acquisition can be a time consuming process for situations where high spatial resolution is required. As such, optimizing the acquisition mechanism is of…
(more)

Subjects/Keywords: compressive sensing; compressed sampling; digital image acquisition; sparse measurements

…*Sparse* Measurements Model and Framework
17
3.1
Model for Constructing a *Sampling* Pattern… …x7B;φk }M
k=1
ϕk : k th column in *sampling* basis Φ
ϕT,k : k th *sparse* column in… …for a greatly reduced *sampling* rate through the use of *sparse* measurements (samples… …to the CS
*sparse* measurement model (2.22, 2.23) using *sampling* basis {φk… …near the origin and *sparse* *sampling* in the periphery. The coherence
between the sparsity and…

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

APA (6^{th} Edition):

Schwartz, T. S. (2013). Data-guided statistical sparse measurements modeling for compressive sensing. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7418

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Schwartz, Tal Shimon. “Data-guided statistical sparse measurements modeling for compressive sensing.” 2013. Thesis, University of Waterloo. Accessed January 22, 2021. http://hdl.handle.net/10012/7418.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Schwartz, Tal Shimon. “Data-guided statistical sparse measurements modeling for compressive sensing.” 2013. Web. 22 Jan 2021.

Vancouver:

Schwartz TS. Data-guided statistical sparse measurements modeling for compressive sensing. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10012/7418.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schwartz TS. Data-guided statistical sparse measurements modeling for compressive sensing. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7418

Not specified: Masters Thesis or Doctoral Dissertation

University of Cambridge

20. Higson, Edward John. Bayesian methods and machine learning in astrophysics.

Degree: PhD, 2019, University of Cambridge

URL: https://doi.org/10.17863/CAM.36974 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929

► This thesis is concerned with methods for Bayesian inference and their applications in astrophysics. We principally discuss two related themes: advances in nested *sampling* (Chapters…
(more)

Subjects/Keywords: Machine Learning; Bayesian Inference; Nested sampling; Cosmology; Black Holes; Gravitational Waves; Neural Networks; Regression; Astrophysics; Sparsity; Parameter Estimation; Bayesian Evidence; Bayesian; Statistics; Bayesian Sparse Reconstruction; Computational Methods; Error Analysis; Dynamic Nested Sampling; nestcheck; perfectns; dyPolyChord; dynesty; Image Processing; Sparse Reconstruction; Planck; diagnostic tests; PolyChord; MultiNest; Hubble Space Telescope; Fitting; Nonparametric statistics

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

APA (6^{th} Edition):

Higson, E. J. (2019). Bayesian methods and machine learning in astrophysics. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.36974 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929

Chicago Manual of Style (16^{th} Edition):

Higson, Edward John. “Bayesian methods and machine learning in astrophysics.” 2019. Doctoral Dissertation, University of Cambridge. Accessed January 22, 2021. https://doi.org/10.17863/CAM.36974 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929.

MLA Handbook (7^{th} Edition):

Higson, Edward John. “Bayesian methods and machine learning in astrophysics.” 2019. Web. 22 Jan 2021.

Vancouver:

Higson EJ. Bayesian methods and machine learning in astrophysics. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2021 Jan 22]. Available from: https://doi.org/10.17863/CAM.36974 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929.

Council of Science Editors:

Higson EJ. Bayesian methods and machine learning in astrophysics. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://doi.org/10.17863/CAM.36974 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767929

Indian Institute of Science

21.
Satyanarayana, J V.
Efficient Design of Embedded Data Acquisition Systems Based on Smart * Sampling*.

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

URL: http://etd.iisc.ac.in/handle/2005/3518

► Data acquisition from multiple analog channels is an important function in many embedded devices used in avionics, medical electronics, robotics and space applications. It is…
(more)

Subjects/Keywords: Analog-To-Digital Converters; Smart-Sampling Data Acquisition; Embedded Data Acquisition Systems; Sparse Signals; Embedded Systems; Compressed Sensing; Signal Processing; Multiplexed Compressed Sensing; Multiplexed Signal Acquisition; Data Acquisition; MOSAICS; Multiple Sparse Signals; Compact Embedded Designs; Correlated Signals; Multiplexed Optimal Signal Acquisition Involving Compressed Sensing; Electrical Engineering

Record Details Similar Records

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

APA (6^{th} Edition):

Satyanarayana, J. V. (2018). Efficient Design of Embedded Data Acquisition Systems Based on Smart Sampling. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/3518

Chicago Manual of Style (16^{th} Edition):

Satyanarayana, J V. “Efficient Design of Embedded Data Acquisition Systems Based on Smart Sampling.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed January 22, 2021. http://etd.iisc.ac.in/handle/2005/3518.

MLA Handbook (7^{th} Edition):

Satyanarayana, J V. “Efficient Design of Embedded Data Acquisition Systems Based on Smart Sampling.” 2018. Web. 22 Jan 2021.

Vancouver:

Satyanarayana JV. Efficient Design of Embedded Data Acquisition Systems Based on Smart Sampling. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2021 Jan 22]. Available from: http://etd.iisc.ac.in/handle/2005/3518.

Council of Science Editors:

Satyanarayana JV. Efficient Design of Embedded Data Acquisition Systems Based on Smart Sampling. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/3518

Georgia Tech

22.
Mena Arias, Dario Alberto.
Characterization of matrix valued BMO by commutators and *sparse* domination of operators.

Degree: PhD, Mathematics, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/59857

► In the first part of this thesis, we characterize the space of matrix-valued, two-parameters BMO functions by using commutators with the Hilbert transform. The second…
(more)

Subjects/Keywords: BMO; Commutators; Sparse operators; Sparse; Sparse forms

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APA (6^{th} Edition):

Mena Arias, D. A. (2018). Characterization of matrix valued BMO by commutators and sparse domination of operators. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59857

Chicago Manual of Style (16^{th} Edition):

Mena Arias, Dario Alberto. “Characterization of matrix valued BMO by commutators and sparse domination of operators.” 2018. Doctoral Dissertation, Georgia Tech. Accessed January 22, 2021. http://hdl.handle.net/1853/59857.

MLA Handbook (7^{th} Edition):

Mena Arias, Dario Alberto. “Characterization of matrix valued BMO by commutators and sparse domination of operators.” 2018. Web. 22 Jan 2021.

Vancouver:

Mena Arias DA. Characterization of matrix valued BMO by commutators and sparse domination of operators. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1853/59857.

Council of Science Editors:

Mena Arias DA. Characterization of matrix valued BMO by commutators and sparse domination of operators. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59857

Delft University of Technology

23.
Desmedt, S.G.L. (author).
Dimension-adaptive *sparse* grid for industrial applications using Sobol variances.

Degree: 2015, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:09f5dfed-5185-401c-9bbd-065130fe2bda

►

The area of interest for this study is the field of uncertainty quantification in computational fluid dynamics. The goal is to contribute to a new… (more)

Subjects/Keywords: Sparse grid

Record Details Similar Records

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

APA (6^{th} Edition):

Desmedt, S. G. L. (. (2015). Dimension-adaptive sparse grid for industrial applications using Sobol variances. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:09f5dfed-5185-401c-9bbd-065130fe2bda

Chicago Manual of Style (16^{th} Edition):

Desmedt, S G L (author). “Dimension-adaptive sparse grid for industrial applications using Sobol variances.” 2015. Masters Thesis, Delft University of Technology. Accessed January 22, 2021. http://resolver.tudelft.nl/uuid:09f5dfed-5185-401c-9bbd-065130fe2bda.

MLA Handbook (7^{th} Edition):

Desmedt, S G L (author). “Dimension-adaptive sparse grid for industrial applications using Sobol variances.” 2015. Web. 22 Jan 2021.

Vancouver:

Desmedt SGL(. Dimension-adaptive sparse grid for industrial applications using Sobol variances. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2021 Jan 22]. Available from: http://resolver.tudelft.nl/uuid:09f5dfed-5185-401c-9bbd-065130fe2bda.

Council of Science Editors:

Desmedt SGL(. Dimension-adaptive sparse grid for industrial applications using Sobol variances. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:09f5dfed-5185-401c-9bbd-065130fe2bda

University of Illinois – Urbana-Champaign

24.
Ravishankar, Saiprasad.
Adaptive *sparse* representations and their applications.

Degree: PhD, Electrical & Computer Engr, 2014, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/88322

► The sparsity of signals and images in a certain transform domain or dictionary has been exploited in many applications in signal processing, image processing, and…
(more)

Subjects/Keywords: Inverse problems; Computer vision; Classification; Structured overcomplete transform learning; Union of transforms; Overcomplete transform learning; Structured transforms; Convex formulation; Real-time applications; Big data; Online learning; Adaptive Sampling; Image reconstruction; Block Coordinate descent; Blind compressed sensing; Convergence guarantees; Efficient updates; Closed-form solutions; Machine learning; Nonconvex optimization; Alternating minimization; Doubly sparse transform learning; Square transform learning; Adaptive sparse models; Denoising; dictionary learning; Magnetic resonance imaging; Compressed sensing; Sparse representations; Sparsifying transform learning

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

APA (6^{th} Edition):

Ravishankar, S. (2014). Adaptive sparse representations and their applications. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88322

Chicago Manual of Style (16^{th} Edition):

Ravishankar, Saiprasad. “Adaptive sparse representations and their applications.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 22, 2021. http://hdl.handle.net/2142/88322.

MLA Handbook (7^{th} Edition):

Ravishankar, Saiprasad. “Adaptive sparse representations and their applications.” 2014. Web. 22 Jan 2021.

Vancouver:

Ravishankar S. Adaptive sparse representations and their applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/2142/88322.

Council of Science Editors:

Ravishankar S. Adaptive sparse representations and their applications. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/88322

25.
Li, Yi.
Sublinear Time Algorithms for the *Sparse* Recovery Problem.

Degree: PhD, Computer Science & Engineering, 2013, University of Michigan

URL: http://hdl.handle.net/2027.42/102438

► In the *sparse* recovery problem, we have a signal x in R^N that is *sparse*; i.e., it consists of k significant entries (heavy hitters) while…
(more)

Subjects/Keywords: Sublinear-time Algorithms; Sparse Recovery Problem; Off-the-Grid Fourier Sampling; Computer Science; Engineering

…LIST OF ALGORITHMS
Algorithm
1.1
General framework of the *sparse* recovery problem… …ABSTRACT
Sublinear Time Algorithms for the *Sparse* Recovery Problem
by
Yi Li
Chair: Martin… …Strauss
In the *sparse* recovery problem, we have a signal x ∈ RN that is *sparse*; i.e., it… …expressed in the same mathematical formulation, called the *sparse* recovery problem.
This problem… …compressive sensing group at Rice University.
In the *sparse* recovery problem, we have a signal x of…

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

APA (6^{th} Edition):

Li, Y. (2013). Sublinear Time Algorithms for the Sparse Recovery Problem. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/102438

Chicago Manual of Style (16^{th} Edition):

Li, Yi. “Sublinear Time Algorithms for the Sparse Recovery Problem.” 2013. Doctoral Dissertation, University of Michigan. Accessed January 22, 2021. http://hdl.handle.net/2027.42/102438.

MLA Handbook (7^{th} Edition):

Li, Yi. “Sublinear Time Algorithms for the Sparse Recovery Problem.” 2013. Web. 22 Jan 2021.

Vancouver:

Li Y. Sublinear Time Algorithms for the Sparse Recovery Problem. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/2027.42/102438.

Council of Science Editors:

Li Y. Sublinear Time Algorithms for the Sparse Recovery Problem. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/102438

26. Merlet, Sylvain. Acquisition compressée en IRM de diffusion : Compressive sensing in diffusion MRI.

Degree: Docteur es, Automatique, traitement du signal et des images, 2013, Nice

URL: http://www.theses.fr/2013NICE4061

►

Cette thèse est consacrée à l'élaboration de nouvelles méthodes d'acquisition et de traitement de données en IRM de diffusion (IRMd) afin de caractériser la diffusion… (more)

Subjects/Keywords: IRM de diffusion; Acquisition compressée; Reconstruction parcimonieuse; Apprentissage de dictionnaire; Propagateur de diffusion; Diffusion MRI; Compressive sensing; Sparse coding; Dictionary learning; Q-space sampling; Q-ball imaging; Ensemble average propagator; Diffusion spectrum imaging

Record Details Similar Records

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

APA (6^{th} Edition):

Merlet, S. (2013). Acquisition compressée en IRM de diffusion : Compressive sensing in diffusion MRI. (Doctoral Dissertation). Nice. Retrieved from http://www.theses.fr/2013NICE4061

Chicago Manual of Style (16^{th} Edition):

Merlet, Sylvain. “Acquisition compressée en IRM de diffusion : Compressive sensing in diffusion MRI.” 2013. Doctoral Dissertation, Nice. Accessed January 22, 2021. http://www.theses.fr/2013NICE4061.

MLA Handbook (7^{th} Edition):

Merlet, Sylvain. “Acquisition compressée en IRM de diffusion : Compressive sensing in diffusion MRI.” 2013. Web. 22 Jan 2021.

Vancouver:

Merlet S. Acquisition compressée en IRM de diffusion : Compressive sensing in diffusion MRI. [Internet] [Doctoral dissertation]. Nice; 2013. [cited 2021 Jan 22]. Available from: http://www.theses.fr/2013NICE4061.

Council of Science Editors:

Merlet S. Acquisition compressée en IRM de diffusion : Compressive sensing in diffusion MRI. [Doctoral Dissertation]. Nice; 2013. Available from: http://www.theses.fr/2013NICE4061

Brno University of Technology

27. Berky, Martin. Vytvoření bezchybné fotografie z narušené videosekvence: Clean photo out of corrupted videosequence.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/180568

► This diploma thesis deals with separation of moving objects from static unchanging background in video sequence. Thesis contains description of common method of separation and…
(more)

Subjects/Keywords: Řídká reprezentace signálů; komprimované snímání; medianova metoda; Matlab; video sekvence; separace pozadí; pohyblivé objekty; zpracování obrazu; Sparse signal reprezentation; compressive sampling; median method; Matlab; video sequence; background substraction; moving objects; image processing

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Berky, M. (2019). Vytvoření bezchybné fotografie z narušené videosekvence: Clean photo out of corrupted videosequence. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180568

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Berky, Martin. “Vytvoření bezchybné fotografie z narušené videosekvence: Clean photo out of corrupted videosequence.” 2019. Thesis, Brno University of Technology. Accessed January 22, 2021. http://hdl.handle.net/11012/180568.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Berky, Martin. “Vytvoření bezchybné fotografie z narušené videosekvence: Clean photo out of corrupted videosequence.” 2019. Web. 22 Jan 2021.

Vancouver:

Berky M. Vytvoření bezchybné fotografie z narušené videosekvence: Clean photo out of corrupted videosequence. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/11012/180568.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Berky M. Vytvoření bezchybné fotografie z narušené videosekvence: Clean photo out of corrupted videosequence. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180568

Not specified: Masters Thesis or Doctoral Dissertation

Missouri University of Science and Technology

28.
Zhang, Ling.
* Sparse* emission source microscopy for rapid emission source imaging.

Degree: M.S. in Electrical Engineering, Electrical Engineering, Missouri University of Science and Technology

URL: https://scholarsmine.mst.edu/masters_theses/7729

► "In Paper I, *Sparse* Emission Source Microscopy (ESM) methodology will be introduced and discussed for the localization of major EMI radiation sources in complex…
(more)

Subjects/Keywords: EMI Coupling Paths; EMI Mitigation; Emission Source Microscopy; Optical Transceiver Modules; Source Localization; Sparse Sampling; Electrical and Computer Engineering

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Zhang, L. (n.d.). Sparse emission source microscopy for rapid emission source imaging. (Masters Thesis). Missouri University of Science and Technology. Retrieved from https://scholarsmine.mst.edu/masters_theses/7729

Note: this citation may be lacking information needed for this citation format:

No year of publication.

Chicago Manual of Style (16^{th} Edition):

Zhang, Ling. “Sparse emission source microscopy for rapid emission source imaging.” Masters Thesis, Missouri University of Science and Technology. Accessed January 22, 2021. https://scholarsmine.mst.edu/masters_theses/7729.

Note: this citation may be lacking information needed for this citation format:

No year of publication.

MLA Handbook (7^{th} Edition):

Zhang, Ling. “Sparse emission source microscopy for rapid emission source imaging.” Web. 22 Jan 2021.

Note: this citation may be lacking information needed for this citation format:

No year of publication.

Vancouver:

Zhang L. Sparse emission source microscopy for rapid emission source imaging. [Internet] [Masters thesis]. Missouri University of Science and Technology; [cited 2021 Jan 22]. Available from: https://scholarsmine.mst.edu/masters_theses/7729.

No year of publication.

Council of Science Editors:

Zhang L. Sparse emission source microscopy for rapid emission source imaging. [Masters Thesis]. Missouri University of Science and Technology; Available from: https://scholarsmine.mst.edu/masters_theses/7729

No year of publication.

29.
Haldar, Justin P.
Constrained imaging: denoising and *sparse* * sampling*.

Degree: PhD, 1200, 2011, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/24286

► Magnetic resonance imaging (MRI) is a powerful tool for studying the anatomy, physiology, and metabolism of biological systems. Despite the fact that MRI was introduced…
(more)

Subjects/Keywords: Magnetic Resonance Imaging; Constrained Reconstruction; Denoising; Sparse Sampling; Regularization; Compressed Sensing; Sparsity; Low Rank

…5.2.1 Rank-Constrained Matrix Recovery with the PS Model .
5.2.2 *Sampling* Considerations and… …5.5.1 Specialized *Sampling* Versus Random *Sampling* . . . .
5.5.2 Selection of L… …acquisition in conventional MRI is typically modeled as *sampling* in the spatial Fourier domain (… …x7D;M
m=1 is the set of
k-space *sampling* locations, {dm }M
m=1 is the set of… …Image resolution.
MR image resolution is a function of the Fourier-domain *sampling*
pattern…

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Haldar, J. P. (2011). Constrained imaging: denoising and sparse sampling. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24286

Chicago Manual of Style (16^{th} Edition):

Haldar, Justin P. “Constrained imaging: denoising and sparse sampling.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 22, 2021. http://hdl.handle.net/2142/24286.

MLA Handbook (7^{th} Edition):

Haldar, Justin P. “Constrained imaging: denoising and sparse sampling.” 2011. Web. 22 Jan 2021.

Vancouver:

Haldar JP. Constrained imaging: denoising and sparse sampling. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/2142/24286.

Council of Science Editors:

Haldar JP. Constrained imaging: denoising and sparse sampling. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24286

Brno University of Technology

30. Berky, Martin. Vytvoření bezchybné fotografie z narušené videosekvence: Clean photo out of corrupted videosequence.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/177522

► This diploma thesis deals with separation of moving objects from static unchanging background in video sequence. In this thesis are described common method of separation…
(more)

Subjects/Keywords: Řídká reprezentace signálů; komprimované snímání; medianova metoda; Matlab; video sekvence; separace pozadí; pohyblivé objekty; zpracování obrazu; Sparse signal reprezentation; compressive sampling; median method; Matlab; video sequence; background substraction; moving objects; image processing

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Berky, M. (2019). Vytvoření bezchybné fotografie z narušené videosekvence: Clean photo out of corrupted videosequence. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/177522

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Berky, Martin. “Vytvoření bezchybné fotografie z narušené videosekvence: Clean photo out of corrupted videosequence.” 2019. Thesis, Brno University of Technology. Accessed January 22, 2021. http://hdl.handle.net/11012/177522.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Berky, Martin. “Vytvoření bezchybné fotografie z narušené videosekvence: Clean photo out of corrupted videosequence.” 2019. Web. 22 Jan 2021.

Vancouver:

Berky M. Vytvoření bezchybné fotografie z narušené videosekvence: Clean photo out of corrupted videosequence. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/11012/177522.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Berky M. Vytvoření bezchybné fotografie z narušené videosekvence: Clean photo out of corrupted videosequence. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/177522

Not specified: Masters Thesis or Doctoral Dissertation