Sparse recovery : fundamental limits, measurement constructions and graph constraints /

Sparse recovery explores the sparsity structure inside data and aims to find a low-dimensional representation for a high-dimensional sparse object. Since some form of signal sparsity naturally exists in many applications, sparse recovery can benefit areas like imaging, communication, network monitor...

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Bibliographic Details
Main Author: Wang, Meng
Format: Thesis Book
Language:English
Published: c2012
Subjects:

Internet

Cornell University

Holdings details from Cornell University
Call Number: Thesis 2012 W365
Thesis TK10 2012 W365