DocumentCode
2991975
Title
A comparative study of quantized compressive sensing schemes
Author
Dai, Wei ; Pham, Roa Vinh ; Milenkovic, Olgica
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2009
fDate
June 28 2009-July 3 2009
Firstpage
11
Lastpage
15
Abstract
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.
Keywords
quantisation (signal); signal reconstruction; benchmark CS reconstruction algorithm; quantization effect; quantized compressive sensing scheme; reconstruction distortion; Computational complexity; Distortion measurement; Electric variables measurement; Entropy; Iterative algorithms; Linear programming; Optimization methods; Quantization; Reconstruction algorithms; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2009. ISIT 2009. IEEE International Symposium on
Conference_Location
Seoul
Print_ISBN
978-1-4244-4312-3
Electronic_ISBN
978-1-4244-4313-0
Type
conf
DOI
10.1109/ISIT.2009.5206032
Filename
5206032
Link To Document