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A comparative study of quantized compressive sensing schemes

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3 Author(s)
Wei Dai ; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA ; Hoa Vinh Pham ; Olgica Milenkovic

We study the average distortion introduced by scalar, vector, and entropy coded quantization of compressive sensing (CS) measurements. The asymptotic behavior of the underlying quantization schemes is either quantified exactly or characterized via bounds. We also modify two benchmark CS reconstruction algorithms to accommodate quantization effects, and empirically demonstrate that these methods significantly reduce the reconstruction distortion.

Published in:

2009 IEEE International Symposium on Information Theory

Date of Conference:

June 28 2009-July 3 2009