# Compressed Sensing Beyond the IID and Static Domains: Theory, Algorithms and Applications

@inproceedings{Kazemipour2016CompressedSB, title={Compressed Sensing Beyond the IID and Static Domains: Theory, Algorithms and Applications}, author={Abbas Kazemipour}, year={2016} }

- Published 2016
DOI:10.13016/M22Z5T

Title of dissertation: COMPRESSED SENSING BEYOND THE IID AND STATIC DOMAINS: THEORY, ALGORITHMS AND APPLICATIONS Abbas Kazemipour Doctor of Philosophy, 2017 Dissertation directed by: Professors Min Wu and Behtash Babadi Department of Electrical and Computer Engineering Sparsity is a ubiquitous feature of many real world signals such as natural images and neural spiking activities. Conventional compressed sensing utilizes sparsity to recover low dimensional signal structures in high ambient… CONTINUE READING

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