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You searched for +publisher:"Clemson University" +contributor:("Khan , Taufiquar R"). Showing records 1 – 5 of 5 total matches.

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Clemson University

1. Mao, Yue. Compressive Sensing.

Degree: MS, Mathematical Science, 2010, Clemson University

 Compressive sensing is a novel paradigm for acquiring signals and has a wide range of applications. The basic assumption is that one can recover a… (more)

Subjects/Keywords: compressive sensing; Fourier measurements; generalized eigenvalues; Hankel system; sparse interpolation; sparse recovery; Applied Mathematics

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APA (6th Edition):

Mao, Y. (2010). Compressive Sensing. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/853

Chicago Manual of Style (16th Edition):

Mao, Yue. “Compressive Sensing.” 2010. Masters Thesis, Clemson University. Accessed February 21, 2020. https://tigerprints.clemson.edu/all_theses/853.

MLA Handbook (7th Edition):

Mao, Yue. “Compressive Sensing.” 2010. Web. 21 Feb 2020.

Vancouver:

Mao Y. Compressive Sensing. [Internet] [Masters thesis]. Clemson University; 2010. [cited 2020 Feb 21]. Available from: https://tigerprints.clemson.edu/all_theses/853.

Council of Science Editors:

Mao Y. Compressive Sensing. [Masters Thesis]. Clemson University; 2010. Available from: https://tigerprints.clemson.edu/all_theses/853


Clemson University

2. Boyd, Steven. Protocols for dynamic spectrum access in cognitive radio networks.

Degree: PhD, Electrical Engineering, 2010, Clemson University

 Spectrum access protocols permit secondary users to transmit on frequency bands that are not being utilized by the primary owners. A cognitive radio that wishes… (more)

Subjects/Keywords: Electrical and Computer Engineering

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APA (6th Edition):

Boyd, S. (2010). Protocols for dynamic spectrum access in cognitive radio networks. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/600

Chicago Manual of Style (16th Edition):

Boyd, Steven. “Protocols for dynamic spectrum access in cognitive radio networks.” 2010. Doctoral Dissertation, Clemson University. Accessed February 21, 2020. https://tigerprints.clemson.edu/all_dissertations/600.

MLA Handbook (7th Edition):

Boyd, Steven. “Protocols for dynamic spectrum access in cognitive radio networks.” 2010. Web. 21 Feb 2020.

Vancouver:

Boyd S. Protocols for dynamic spectrum access in cognitive radio networks. [Internet] [Doctoral dissertation]. Clemson University; 2010. [cited 2020 Feb 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/600.

Council of Science Editors:

Boyd S. Protocols for dynamic spectrum access in cognitive radio networks. [Doctoral Dissertation]. Clemson University; 2010. Available from: https://tigerprints.clemson.edu/all_dissertations/600


Clemson University

3. Jacob, Bonnie. Source Optimization in Abstract Function Spaces for Maximizing Distinguishability: Applications to the Optical Tomography Inverse Problem.

Degree: PhD, Mathematical Science, 2010, Clemson University

 The focus of this thesis is to formulate an optimal source problem for the medical imaging technique of optical tomography by maximizing certain distinguishability criteria.… (more)

Subjects/Keywords: distinguishability; Hilbert space; inverse problem; optical tomography; partial differential equations; Applied Mathematics

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APA (6th Edition):

Jacob, B. (2010). Source Optimization in Abstract Function Spaces for Maximizing Distinguishability: Applications to the Optical Tomography Inverse Problem. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/528

Chicago Manual of Style (16th Edition):

Jacob, Bonnie. “Source Optimization in Abstract Function Spaces for Maximizing Distinguishability: Applications to the Optical Tomography Inverse Problem.” 2010. Doctoral Dissertation, Clemson University. Accessed February 21, 2020. https://tigerprints.clemson.edu/all_dissertations/528.

MLA Handbook (7th Edition):

Jacob, Bonnie. “Source Optimization in Abstract Function Spaces for Maximizing Distinguishability: Applications to the Optical Tomography Inverse Problem.” 2010. Web. 21 Feb 2020.

Vancouver:

Jacob B. Source Optimization in Abstract Function Spaces for Maximizing Distinguishability: Applications to the Optical Tomography Inverse Problem. [Internet] [Doctoral dissertation]. Clemson University; 2010. [cited 2020 Feb 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/528.

Council of Science Editors:

Jacob B. Source Optimization in Abstract Function Spaces for Maximizing Distinguishability: Applications to the Optical Tomography Inverse Problem. [Doctoral Dissertation]. Clemson University; 2010. Available from: https://tigerprints.clemson.edu/all_dissertations/528


Clemson University

4. Frye, jr., James. Robust Analysis of Electromagnetic Responses of Resonant Structures using Early-time and Low-Frequency Data.

Degree: PhD, Electrical Engineering, 2010, Clemson University

 The rapid increase of affordable computing resources combined with the continued development and refinement of computational electromagnetic (CEM) methods has yielded a wide range of… (more)

Subjects/Keywords: Antennas and Propagation; Applied Electromagnetics; Computational Methods; Signal Extrapolation; Electrical and Computer Engineering

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

APA (6th Edition):

Frye, jr., J. (2010). Robust Analysis of Electromagnetic Responses of Resonant Structures using Early-time and Low-Frequency Data. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/578

Chicago Manual of Style (16th Edition):

Frye, jr., James. “Robust Analysis of Electromagnetic Responses of Resonant Structures using Early-time and Low-Frequency Data.” 2010. Doctoral Dissertation, Clemson University. Accessed February 21, 2020. https://tigerprints.clemson.edu/all_dissertations/578.

MLA Handbook (7th Edition):

Frye, jr., James. “Robust Analysis of Electromagnetic Responses of Resonant Structures using Early-time and Low-Frequency Data.” 2010. Web. 21 Feb 2020.

Vancouver:

Frye, jr. J. Robust Analysis of Electromagnetic Responses of Resonant Structures using Early-time and Low-Frequency Data. [Internet] [Doctoral dissertation]. Clemson University; 2010. [cited 2020 Feb 21]. Available from: https://tigerprints.clemson.edu/all_dissertations/578.

Council of Science Editors:

Frye, jr. J. Robust Analysis of Electromagnetic Responses of Resonant Structures using Early-time and Low-Frequency Data. [Doctoral Dissertation]. Clemson University; 2010. Available from: https://tigerprints.clemson.edu/all_dissertations/578


Clemson University

5. Cooper, Jack. Sparse Representations in Power Systems Signals.

Degree: MS, Mathematical Science, 2009, Clemson University

 This thesis seeks to detect transient disturbances in power system signals in a sparse framework. To this end, an overcomplete wavelet packet dictionary and damped… (more)

Subjects/Keywords: Basis Pursuit; Power Systems Signal; Sparse; Sparsity constraint; Transient Detection; Wavelets; Applied Mathematics

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

APA (6th Edition):

Cooper, J. (2009). Sparse Representations in Power Systems Signals. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/627

Chicago Manual of Style (16th Edition):

Cooper, Jack. “Sparse Representations in Power Systems Signals.” 2009. Masters Thesis, Clemson University. Accessed February 21, 2020. https://tigerprints.clemson.edu/all_theses/627.

MLA Handbook (7th Edition):

Cooper, Jack. “Sparse Representations in Power Systems Signals.” 2009. Web. 21 Feb 2020.

Vancouver:

Cooper J. Sparse Representations in Power Systems Signals. [Internet] [Masters thesis]. Clemson University; 2009. [cited 2020 Feb 21]. Available from: https://tigerprints.clemson.edu/all_theses/627.

Council of Science Editors:

Cooper J. Sparse Representations in Power Systems Signals. [Masters Thesis]. Clemson University; 2009. Available from: https://tigerprints.clemson.edu/all_theses/627

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