168 search results - page 20 / 34 » Bayesian Compressive Sensing for clustered sparse signals |
JMLR
2012
11 years 10 months ago
2012
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
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...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Low-complexity video encoding has been applicable to several emerging applications. Recently, distributed video coding (DVC) has been proposed to reduce encoding complexity to the...