81 search results - page 8 / 17 » Reconstruction of sparse signals from distorted randomized m... |
SIGPRO
2010
13 years 5 months ago
2010
This short note studies a variation of the Compressed Sensing paradigm introduced recently by Vaswani et al., i.e. the recovery of sparse signals from a certain number of linear m...
CISS
2011
IEEE
12 years 11 months ago
2011
IEEE
—In compressive sensing (CS), the Restricted Isometry Property (RIP) is a powerful condition on measurement operators which ensures robust recovery of sparse vectors is possible ...
CISS
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
In this paper we introduce an information theoretic approach and use techniques from the theory of Huffman codes to construct a sequence of binary sampling vectors to determine a s...
BIOCOMP
2006
13 years 8 months ago
2006
Abstract-- The inference of a network structure from experimental data providing dynamical information about the underlying system of investigation is an important and still outsta...