Quantized Compressive Sensing

Simple item page
dc.creatorDai, Wei
dc.creatorPham, Hoa Vinh
dc.creatorMilenkovic, Olgica
dc.date2009-01-07
dc.date2009-03-07
dc.date.accessioned2026-07-07T12:49:29Z
dc.date.available2026-07-07T12:49:29Z
dc.descriptionWe 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 adapt two benchmark CS reconstruction algorithms to accommodate quantization errors, and empirically demonstrate that these methods significantly reduce the reconstruction distortion when compared to standard CS techniques.
dc.identifierhttps://arxiv.org/abs/0901.0749
dc.identifierhttp://arxiv.org/abs/0901.0749
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/222421
dc.subjectInformation Theory
dc.titleQuantized Compressive Sensing
dc.typetext

Files

Collections

arXiv