Sciweavers

574 search results - page 12 / 115
» Sequential Compressed Sensing
Sort
View
CORR
2010
Springer
145views Education» more  CORR 2010»
13 years 5 months ago
Orthogonal symmetric Toeplitz matrices for compressed sensing: Statistical isometry property
Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this paper...
Kezhi Li, Lu Gan, Cong Ling
ICML
2007
IEEE
14 years 8 months ago
Bayesian compressive sensing and projection optimization
This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
Shihao Ji, Lawrence Carin
GSN
2009
Springer
149views Sensor Networks» more  GSN 2009»
14 years 14 days ago
Spatially-Localized Compressed Sensing and Routing in Multi-hop Sensor Networks
We propose energy-efficient compressed sensing for wireless sensor networks using spatially-localized sparse projections. To keep the transmission cost for each measurement low, we...
Sungwon Lee, Sundeep Pattem, Maheswaran Sathiamoor...
JC
2007
119views more  JC 2007»
13 years 7 months ago
Deterministic constructions of compressed sensing matrices
Compressed sensing is a new area of signal processing. Its goal is to minimize the number of samples that need to be taken from a signal for faithful reconstruction. The performan...
Ronald A. DeVore
ICIP
2009
IEEE
14 years 9 months ago
Compressed Sensing Of Natural Images
Compressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose and study block compressed sensing for natural images, where i...