168 search results - page 26 / 34 » Bayesian Compressive Sensing for clustered sparse signals |
CORR
2011
Springer
13 years 2 months ago
2011
Springer
The Random Demodulator (RD) and the Modulated Wideband Converter (MWC) are two recently proposed compressed sensing (CS) techniques for the acquisition of continuous-time spectral...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
A major enterprise in compressed sensing and sparse approximation is the design and analysis of computationally tractable algorithms for recovering sparse, exact or approximate, s...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
We propose a factor-graph-based approach to joint channel-estimationand-decoding of bit-interleaved coded orthogonal frequency division multiplexing (BICM-OFDM). In contrast to ex...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...