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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

URL: https://tigerprints.clemson.edu/all_theses/2202

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_dissertations/1420

► Many computational problems are related to the model y = Ax + e, including compressive sensing, coding theory, dimensionality reduction, etc. The related algorithms…
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Subjects/Keywords: Applied Mathematics

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_theses/2007

► Inverse Problems is a field of great interest for many applications, such as parameter identification and image reconstruction. The underlying models of inverse problems…
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Subjects/Keywords: EIT; Inverse Problems; Reduced Basis Method; Electrical and Computer Engineering; Materials Science and Engineering

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_theses/1934

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_dissertations/1176

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_dissertations/1023

► 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…
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Subjects/Keywords: Applied Mathematics

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_dissertations/1000

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

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_dissertations/978

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

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_theses/1141

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_theses/997

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_theses/1007

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_dissertations/600

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_dissertations/578

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_theses/853

► 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 (6^{th} Edition):

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

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

Mao, Yue. “Compressive Sensing.” 2010. Masters Thesis, Clemson University. Accessed July 20, 2019. https://tigerprints.clemson.edu/all_theses/853.

MLA Handbook (7^{th} 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

URL: https://tigerprints.clemson.edu/all_theses/800

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_dissertations/528

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://tigerprints.clemson.edu/all_theses/627

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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