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
fDate :
June 28 2009-July 3 2009
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;
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
DOI :
10.1109/ISIT.2009.5206032
