168 search results - page 20 / 34 » Bayesian Compressive Sensing for clustered sparse signals |
191
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JMLR
2012
13 years 8 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...
198
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ICASSP
2008
IEEE
15 years 12 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...
153
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CORR
2008
Springer
15 years 5 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...
207
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ICASSP
2011
IEEE
14 years 9 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...
141
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ICASSP
2009
IEEE
16 years 7 days 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...