420 search results - page 7 / 84 » Compressive sensing |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this paper...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
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...
GSN
2009
Springer
14 years 7 hour ago
2009
Springer
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...
JC
2007
13 years 7 months ago
2007
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...