495 search results - page 7 / 99 » Model-Based Compressive Sensing |
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
GLOBECOM
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract—We propose a model-based channel access mechanism for cognitive radio-enabled secondary network, which opportunistically uses the channel of an unslotted primary network...
CORR
2011
Springer
13 years 3 months ago
2011
Springer
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
The theory of compressive sensing has shown that sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. In [1], it was sho...
TIT
2011
13 years 3 months ago
2011
—In this paper we establish the connection between the Orthogonal Optical Codes (OOC) and binary compressed sensing matrices. We also introduce deterministic bipolar m × n RIP f...