IEEE - Institute of Electrical and Electronics Engineers, Inc. - Universal Compressed Sensing for Almost Lossless Recovery

Author(s): Shirin Jalali ; H. Vincent Poor
Sponsor(s): IEEE Information Theory Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 May 2017
Volume: 63
Page(s): 2,933 - 2,953
ISSN (Paper): 0018-9448
ISSN (Online): 1557-9654
DOI: 10.1109/TIT.2017.2672754
Regular:

In this paper, the problem of developing universal algorithms for noiseless compressed sensing of stochastic processes is studied. First, Rényi's notion of information dimension (ID) is... View More

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