TY - GEN
T1 - A comparative study of quantized compressive sensing schemes
AU - Dai, Wei
AU - Pham, Roa Vinh
AU - Milenkovic, Olgica
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70449515638&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449515638&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2009.5206032
DO - 10.1109/ISIT.2009.5206032
M3 - Conference contribution
AN - SCOPUS:70449515638
SN - 9781424443130
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 11
EP - 15
BT - 2009 IEEE International Symposium on Information Theory, ISIT 2009
T2 - 2009 IEEE International Symposium on Information Theory, ISIT 2009
Y2 - 28 June 2009 through 3 July 2009
ER -