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You searched for +publisher:"Clemson University" +contributor:("Khan, Taufiquar"). Showing records 1 – 17 of 17 total matches.

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Clemson University

1. Kwiasowski, Jaqueline. Thresholding of Statistical Maps in Functional Neuroimaging via Independent Filtering.

Degree: MS, Mathematical Science, 2015, Clemson University

 The high dimension of functional magnetic resonance imaging (fMRI) data causes problems in finding effective thresholds for voxelwise test statistics. Due to the enormous number… (more)

Subjects/Keywords: independent filtering; neuroimaging; thresholding; Mathematics

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APA (6th Edition):

Kwiasowski, J. (2015). Thresholding of Statistical Maps in Functional Neuroimaging via Independent Filtering. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2202

Chicago Manual of Style (16th Edition):

Kwiasowski, Jaqueline. “Thresholding of Statistical Maps in Functional Neuroimaging via Independent Filtering.” 2015. Masters Thesis, Clemson University. Accessed July 20, 2019. https://tigerprints.clemson.edu/all_theses/2202.

MLA Handbook (7th Edition):

Kwiasowski, Jaqueline. “Thresholding of Statistical Maps in Functional Neuroimaging via Independent Filtering.” 2015. Web. 20 Jul 2019.

Vancouver:

Kwiasowski J. Thresholding of Statistical Maps in Functional Neuroimaging via Independent Filtering. [Internet] [Masters thesis]. Clemson University; 2015. [cited 2019 Jul 20]. Available from: https://tigerprints.clemson.edu/all_theses/2202.

Council of Science Editors:

Kwiasowski J. Thresholding of Statistical Maps in Functional Neuroimaging via Independent Filtering. [Masters Thesis]. Clemson University; 2015. Available from: https://tigerprints.clemson.edu/all_theses/2202

2. Mao, Yue. Numerical decoding, Johnson-Lindenstrauss transforms, and linear codes.

Degree: PhD, Mathematical Science, 2014, Clemson University

  Many computational problems are related to the model y = Ax + e, including compressive sensing, coding theory, dimensionality reduction, etc. The related algorithms… (more)

Subjects/Keywords: Applied Mathematics

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APA (6th Edition):

Mao, Y. (2014). Numerical decoding, Johnson-Lindenstrauss transforms, and linear codes. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1420

Chicago Manual of Style (16th Edition):

Mao, Yue. “Numerical decoding, Johnson-Lindenstrauss transforms, and linear codes.” 2014. Doctoral Dissertation, Clemson University. Accessed July 20, 2019. https://tigerprints.clemson.edu/all_dissertations/1420.

MLA Handbook (7th Edition):

Mao, Yue. “Numerical decoding, Johnson-Lindenstrauss transforms, and linear codes.” 2014. Web. 20 Jul 2019.

Vancouver:

Mao Y. Numerical decoding, Johnson-Lindenstrauss transforms, and linear codes. [Internet] [Doctoral dissertation]. Clemson University; 2014. [cited 2019 Jul 20]. Available from: https://tigerprints.clemson.edu/all_dissertations/1420.

Council of Science Editors:

Mao Y. Numerical decoding, Johnson-Lindenstrauss transforms, and linear codes. [Doctoral Dissertation]. Clemson University; 2014. Available from: https://tigerprints.clemson.edu/all_dissertations/1420


Clemson University

3. Gralla, Phil. Inverse Problems Using Reduced Basis Method.

Degree: MS, Mathematics, 2014, Clemson University

  Inverse Problems is a field of great interest for many applications, such as parameter identification and image reconstruction. The underlying models of inverse problems… (more)

Subjects/Keywords: EIT; Inverse Problems; Reduced Basis Method; Electrical and Computer Engineering; Materials Science and Engineering

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APA (6th Edition):

Gralla, P. (2014). Inverse Problems Using Reduced Basis Method. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2007

Chicago Manual of Style (16th Edition):

Gralla, Phil. “Inverse Problems Using Reduced Basis Method.” 2014. Masters Thesis, Clemson University. Accessed July 20, 2019. https://tigerprints.clemson.edu/all_theses/2007.

MLA Handbook (7th Edition):

Gralla, Phil. “Inverse Problems Using Reduced Basis Method.” 2014. Web. 20 Jul 2019.

Vancouver:

Gralla P. Inverse Problems Using Reduced Basis Method. [Internet] [Masters thesis]. Clemson University; 2014. [cited 2019 Jul 20]. Available from: https://tigerprints.clemson.edu/all_theses/2007.

Council of Science Editors:

Gralla P. Inverse Problems Using Reduced Basis Method. [Masters Thesis]. Clemson University; 2014. Available from: https://tigerprints.clemson.edu/all_theses/2007


Clemson University

4. Malinauskas, Rachel. The Intelligent Driver Model: Analysis and Application to Adaptive Cruise Control.

Degree: MS, Mathematics, 2014, Clemson University

  There are a large number of models that can be used to describe traffic flow. Although some were initially theoretically derived, there are many… (more)

Subjects/Keywords: Adaptive Cruise Control; Microscopic; Modelling; Traffic; Applied Mathematics

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APA (6th Edition):

Malinauskas, R. (2014). The Intelligent Driver Model: Analysis and Application to Adaptive Cruise Control. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1934

Chicago Manual of Style (16th Edition):

Malinauskas, Rachel. “The Intelligent Driver Model: Analysis and Application to Adaptive Cruise Control.” 2014. Masters Thesis, Clemson University. Accessed July 20, 2019. https://tigerprints.clemson.edu/all_theses/1934.

MLA Handbook (7th Edition):

Malinauskas, Rachel. “The Intelligent Driver Model: Analysis and Application to Adaptive Cruise Control.” 2014. Web. 20 Jul 2019.

Vancouver:

Malinauskas R. The Intelligent Driver Model: Analysis and Application to Adaptive Cruise Control. [Internet] [Masters thesis]. Clemson University; 2014. [cited 2019 Jul 20]. Available from: https://tigerprints.clemson.edu/all_theses/1934.

Council of Science Editors:

Malinauskas R. The Intelligent Driver Model: Analysis and Application to Adaptive Cruise Control. [Masters Thesis]. Clemson University; 2014. Available from: https://tigerprints.clemson.edu/all_theses/1934

5. Latifee, Enamur. Miniature Concrete Prism Test - a New Test Method for Evaluating the ASR Potential of Aggregates, the Effectiveness of ASR Mitigation and the Job Mixture.

Degree: PhD, Civil Engineering, 2013, Clemson University

  Existing test methods to characterize ASR potential of aggregates and mitigation ability of supplementary cementing materials such as the Accelerated Mortar Bar Test (AMBT)… (more)

Subjects/Keywords: aggregate; alkali; cement; concrete; Civil Engineering

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APA (6th Edition):

Latifee, E. (2013). Miniature Concrete Prism Test - a New Test Method for Evaluating the ASR Potential of Aggregates, the Effectiveness of ASR Mitigation and the Job Mixture. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1176

Chicago Manual of Style (16th Edition):

Latifee, Enamur. “Miniature Concrete Prism Test - a New Test Method for Evaluating the ASR Potential of Aggregates, the Effectiveness of ASR Mitigation and the Job Mixture.” 2013. Doctoral Dissertation, Clemson University. Accessed July 20, 2019. https://tigerprints.clemson.edu/all_dissertations/1176.

MLA Handbook (7th Edition):

Latifee, Enamur. “Miniature Concrete Prism Test - a New Test Method for Evaluating the ASR Potential of Aggregates, the Effectiveness of ASR Mitigation and the Job Mixture.” 2013. Web. 20 Jul 2019.

Vancouver:

Latifee E. Miniature Concrete Prism Test - a New Test Method for Evaluating the ASR Potential of Aggregates, the Effectiveness of ASR Mitigation and the Job Mixture. [Internet] [Doctoral dissertation]. Clemson University; 2013. [cited 2019 Jul 20]. Available from: https://tigerprints.clemson.edu/all_dissertations/1176.

Council of Science Editors:

Latifee E. Miniature Concrete Prism Test - a New Test Method for Evaluating the ASR Potential of Aggregates, the Effectiveness of ASR Mitigation and the Job Mixture. [Doctoral Dissertation]. Clemson University; 2013. Available from: https://tigerprints.clemson.edu/all_dissertations/1176


Clemson University

6. Gillam, Christopher. Sensitivity Analysis in Magnetic Resonance Elastography and a Local Wavelength Reconstruction based on Wave Direction.

Degree: PhD, Mathematical Science, 2012, Clemson University

 or the detection of early stage cancer. MRE utilizes interior data for its inverse problems, which greatly reduces the ill-posedness from which most traditional inverse… (more)

Subjects/Keywords: Applied Mathematics

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APA (6th Edition):

Gillam, C. (2012). Sensitivity Analysis in Magnetic Resonance Elastography and a Local Wavelength Reconstruction based on Wave Direction. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1023

Chicago Manual of Style (16th Edition):

Gillam, Christopher. “Sensitivity Analysis in Magnetic Resonance Elastography and a Local Wavelength Reconstruction based on Wave Direction.” 2012. Doctoral Dissertation, Clemson University. Accessed July 20, 2019. https://tigerprints.clemson.edu/all_dissertations/1023.

MLA Handbook (7th Edition):

Gillam, Christopher. “Sensitivity Analysis in Magnetic Resonance Elastography and a Local Wavelength Reconstruction based on Wave Direction.” 2012. Web. 20 Jul 2019.

Vancouver:

Gillam C. Sensitivity Analysis in Magnetic Resonance Elastography and a Local Wavelength Reconstruction based on Wave Direction. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2019 Jul 20]. Available from: https://tigerprints.clemson.edu/all_dissertations/1023.

Council of Science Editors:

Gillam C. Sensitivity Analysis in Magnetic Resonance Elastography and a Local Wavelength Reconstruction based on Wave Direction. [Doctoral Dissertation]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_dissertations/1023


Clemson University

7. Cooper, John. Sparsity Regularization in Diffuse Optical Tomography.

Degree: PhD, Mathematical Science, 2012, Clemson University

 The purpose of this dissertation is to improve image reconstruction in Diffuse Optical Tomography (DOT), a high contrast imaging modality that uses a near infrared… (more)

Subjects/Keywords: Optical; Regularization; Sparsity; Tomography; Applied Mathematics

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APA (6th Edition):

Cooper, J. (2012). Sparsity Regularization in Diffuse Optical Tomography. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1000

Chicago Manual of Style (16th Edition):

Cooper, John. “Sparsity Regularization in Diffuse Optical Tomography.” 2012. Doctoral Dissertation, Clemson University. Accessed July 20, 2019. https://tigerprints.clemson.edu/all_dissertations/1000.

MLA Handbook (7th Edition):

Cooper, John. “Sparsity Regularization in Diffuse Optical Tomography.” 2012. Web. 20 Jul 2019.

Vancouver:

Cooper J. Sparsity Regularization in Diffuse Optical Tomography. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2019 Jul 20]. Available from: https://tigerprints.clemson.edu/all_dissertations/1000.

Council of Science Editors:

Cooper J. Sparsity Regularization in Diffuse Optical Tomography. [Doctoral Dissertation]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_dissertations/1000


Clemson University

8. White, Catherine. Sensitivity Anaylsis and Detectability for Magnetic Resonance Elastography.

Degree: PhD, Mathematical Science, 2012, Clemson University

 This thesis is for a sensitivity analysis of magnetic resonance elastography, a hybrid imaging technique used in early-stage cancer screening. To quantitatively analyze the sensitivity,… (more)

Subjects/Keywords: detectability; hybrid imaging; magnetic resonance elastography; Applied Mathematics

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APA (6th Edition):

White, C. (2012). Sensitivity Anaylsis and Detectability for Magnetic Resonance Elastography. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/978

Chicago Manual of Style (16th Edition):

White, Catherine. “Sensitivity Anaylsis and Detectability for Magnetic Resonance Elastography.” 2012. Doctoral Dissertation, Clemson University. Accessed July 20, 2019. https://tigerprints.clemson.edu/all_dissertations/978.

MLA Handbook (7th Edition):

White, Catherine. “Sensitivity Anaylsis and Detectability for Magnetic Resonance Elastography.” 2012. Web. 20 Jul 2019.

Vancouver:

White C. Sensitivity Anaylsis and Detectability for Magnetic Resonance Elastography. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2019 Jul 20]. Available from: https://tigerprints.clemson.edu/all_dissertations/978.

Council of Science Editors:

White C. Sensitivity Anaylsis and Detectability for Magnetic Resonance Elastography. [Doctoral Dissertation]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_dissertations/978


Clemson University

9. Grotheer, Rachel. Physical Process Models as Regularization Constraints on Geophysical Imaging Problems.

Degree: MS, Mathematical Science, 2011, Clemson University

  Obtaining accurate images of solute plumes in the subsurface is important to understand site-specific subsurface flow and transport processes. Since image reconstruction is an… (more)

Subjects/Keywords: imaging; kriging; plume; Applied Mathematics

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APA (6th Edition):

Grotheer, R. (2011). Physical Process Models as Regularization Constraints on Geophysical Imaging Problems. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1141

Chicago Manual of Style (16th Edition):

Grotheer, Rachel. “Physical Process Models as Regularization Constraints on Geophysical Imaging Problems.” 2011. Masters Thesis, Clemson University. Accessed July 20, 2019. https://tigerprints.clemson.edu/all_theses/1141.

MLA Handbook (7th Edition):

Grotheer, Rachel. “Physical Process Models as Regularization Constraints on Geophysical Imaging Problems.” 2011. Web. 20 Jul 2019.

Vancouver:

Grotheer R. Physical Process Models as Regularization Constraints on Geophysical Imaging Problems. [Internet] [Masters thesis]. Clemson University; 2011. [cited 2019 Jul 20]. Available from: https://tigerprints.clemson.edu/all_theses/1141.

Council of Science Editors:

Grotheer R. Physical Process Models as Regularization Constraints on Geophysical Imaging Problems. [Masters Thesis]. Clemson University; 2011. Available from: https://tigerprints.clemson.edu/all_theses/1141


Clemson University

10. Fowler, Dylan. A synthetic analysis of integrated data fusion: Combining hydrologic and geophysical data collected during a tracer test to estimate aquifer flow and transport parameters.

Degree: MS, Hydrogeology, 2010, Clemson University

 Integrated data fusion (IDF), also known as coupled inversion, is becoming a more widely used method for estimating hydrologic parameters from geophysical data. IDF is… (more)

Subjects/Keywords: Electrical Resistivity Tomography; Integrated Data Fusion; Parameter Estimation; Saturated Flow; Solute Transport; Tracer Test; Hydrology

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APA (6th Edition):

Fowler, D. (2010). A synthetic analysis of integrated data fusion: Combining hydrologic and geophysical data collected during a tracer test to estimate aquifer flow and transport parameters. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/997

Chicago Manual of Style (16th Edition):

Fowler, Dylan. “A synthetic analysis of integrated data fusion: Combining hydrologic and geophysical data collected during a tracer test to estimate aquifer flow and transport parameters.” 2010. Masters Thesis, Clemson University. Accessed July 20, 2019. https://tigerprints.clemson.edu/all_theses/997.

MLA Handbook (7th Edition):

Fowler, Dylan. “A synthetic analysis of integrated data fusion: Combining hydrologic and geophysical data collected during a tracer test to estimate aquifer flow and transport parameters.” 2010. Web. 20 Jul 2019.

Vancouver:

Fowler D. A synthetic analysis of integrated data fusion: Combining hydrologic and geophysical data collected during a tracer test to estimate aquifer flow and transport parameters. [Internet] [Masters thesis]. Clemson University; 2010. [cited 2019 Jul 20]. Available from: https://tigerprints.clemson.edu/all_theses/997.

Council of Science Editors:

Fowler D. A synthetic analysis of integrated data fusion: Combining hydrologic and geophysical data collected during a tracer test to estimate aquifer flow and transport parameters. [Masters Thesis]. Clemson University; 2010. Available from: https://tigerprints.clemson.edu/all_theses/997


Clemson University

11. Lai, Wencong. Discontinuous Galerkin Method for 1D Shallow Water Flow with Water Surface Slope Limiter.

Degree: MS, Civil Engineering, 2010, Clemson University

 A water surface slope limiting scheme is applied to numerically solve the one dimensional shallow water equations with bottom slope source term. The total variation… (more)

Subjects/Keywords: Discontinuous finite element method; Discontinuous Galerkin; shallow water flow; water surface slope limiter; Civil Engineering

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APA (6th Edition):

Lai, W. (2010). Discontinuous Galerkin Method for 1D Shallow Water Flow with Water Surface Slope Limiter. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1007

Chicago Manual of Style (16th Edition):

Lai, Wencong. “Discontinuous Galerkin Method for 1D Shallow Water Flow with Water Surface Slope Limiter.” 2010. Masters Thesis, Clemson University. Accessed July 20, 2019. https://tigerprints.clemson.edu/all_theses/1007.

MLA Handbook (7th Edition):

Lai, Wencong. “Discontinuous Galerkin Method for 1D Shallow Water Flow with Water Surface Slope Limiter.” 2010. Web. 20 Jul 2019.

Vancouver:

Lai W. Discontinuous Galerkin Method for 1D Shallow Water Flow with Water Surface Slope Limiter. [Internet] [Masters thesis]. Clemson University; 2010. [cited 2019 Jul 20]. Available from: https://tigerprints.clemson.edu/all_theses/1007.

Council of Science Editors:

Lai W. Discontinuous Galerkin Method for 1D Shallow Water Flow with Water Surface Slope Limiter. [Masters Thesis]. Clemson University; 2010. Available from: https://tigerprints.clemson.edu/all_theses/1007


Clemson University

12. 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 July 20, 2019. https://tigerprints.clemson.edu/all_dissertations/600.

MLA Handbook (7th Edition):

Boyd, Steven. “Protocols for dynamic spectrum access in cognitive radio networks.” 2010. Web. 20 Jul 2019.

Vancouver:

Boyd S. Protocols for dynamic spectrum access in cognitive radio networks. [Internet] [Doctoral dissertation]. Clemson University; 2010. [cited 2019 Jul 20]. 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

13. 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 (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 July 20, 2019. 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. 20 Jul 2019.

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 2019 Jul 20]. 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

14. 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 July 20, 2019. https://tigerprints.clemson.edu/all_theses/853.

MLA Handbook (7th Edition):

Mao, Yue. “Compressive Sensing.” 2010. Web. 20 Jul 2019.

Vancouver:

Mao Y. Compressive Sensing. [Internet] [Masters thesis]. Clemson University; 2010. [cited 2019 Jul 20]. 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

15. Sieger, Caroline. Sparse Representation for Detection of Transients Using a Multi-Resolution Representation of the Auto-correlation of Wavelets.

Degree: MS, Mathematical Science, 2010, Clemson University

 This thesis seeks to detect damped sinusoidal transients, specifically capacitor switching transients, buried in noise and to answer the following questions: 1.) Can the transient… (more)

Subjects/Keywords: Detection; Sparse; Transients; Wavelets; Applied Mathematics

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APA (6th Edition):

Sieger, C. (2010). Sparse Representation for Detection of Transients Using a Multi-Resolution Representation of the Auto-correlation of Wavelets. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/800

Chicago Manual of Style (16th Edition):

Sieger, Caroline. “Sparse Representation for Detection of Transients Using a Multi-Resolution Representation of the Auto-correlation of Wavelets.” 2010. Masters Thesis, Clemson University. Accessed July 20, 2019. https://tigerprints.clemson.edu/all_theses/800.

MLA Handbook (7th Edition):

Sieger, Caroline. “Sparse Representation for Detection of Transients Using a Multi-Resolution Representation of the Auto-correlation of Wavelets.” 2010. Web. 20 Jul 2019.

Vancouver:

Sieger C. Sparse Representation for Detection of Transients Using a Multi-Resolution Representation of the Auto-correlation of Wavelets. [Internet] [Masters thesis]. Clemson University; 2010. [cited 2019 Jul 20]. Available from: https://tigerprints.clemson.edu/all_theses/800.

Council of Science Editors:

Sieger C. Sparse Representation for Detection of Transients Using a Multi-Resolution Representation of the Auto-correlation of Wavelets. [Masters Thesis]. Clemson University; 2010. Available from: https://tigerprints.clemson.edu/all_theses/800


Clemson University

16. 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 July 20, 2019. 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. 20 Jul 2019.

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 2019 Jul 20]. 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

17. 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 (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 July 20, 2019. https://tigerprints.clemson.edu/all_theses/627.

MLA Handbook (7th Edition):

Cooper, Jack. “Sparse Representations in Power Systems Signals.” 2009. Web. 20 Jul 2019.

Vancouver:

Cooper J. Sparse Representations in Power Systems Signals. [Internet] [Masters thesis]. Clemson University; 2009. [cited 2019 Jul 20]. 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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