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» On sparse signal representations
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NIPS
2008
15 years 1 months ago
Sparse Signal Recovery Using Markov Random Fields
Compressive Sensing (CS) combines sampling and compression into a single subNyquist linear measurement process for sparse and compressible signals. In this paper, we extend the th...
Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Ric...
ICASSP
2009
IEEE
15 years 6 months ago
Sparse decomposition of two dimensional signals
In this paper, we consider sparse decomposition (SD) of twodimensional (2D) signals on overcomplete dictionaries with separable atoms. Although, this problem can be solved by conv...
Aboozar Ghafari, Massoud Babaie-Zadeh, Christian J...
ICASSP
2009
IEEE
15 years 3 months ago
Detection of sparse signals under finite-alphabet constraints
In this paper, we solve the problem of detecting the entries of a sparse finite-alphabet signal from a limited amount of data, for instance obtained by compressive sampling. While...
Zhi Tian, Geert Leus, Vincenzo Lottici
ICASSP
2008
IEEE
15 years 6 months ago
Collusion-aware traitor tracing in multimedia fingerprinting using sparse signal approximation
We pose the problem of tracing traitors, who have colluded to circumvent a multimedia fingerprinting system, as a sparse underdetermined linear problem. We propose a range of det...
David P. Varodayan, Christine Pépin
DCC
2008
IEEE
15 years 11 months ago
Sublinear Recovery of Sparse Wavelet Signals
There are two main classes of decoding algorithms for "compressed sensing," those which run time time polynomial in the signal length and those which use sublinear resou...
Ray Maleh, Anna C. Gilbert