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ICASSP
2011
IEEE
14 years 7 months ago
Focuss is a convex-concave procedure
We show the powerful sparse signal recovery approach FOCUSS is a convex-concave procedure. It follows a Newton-like decent direction by retaining the positive definite component ...
Mashud Hyder, Kaushik Mahata
ICASSP
2011
IEEE
14 years 7 months ago
Guaranteed error correction based on Fourier Compressive Sensing and Projective Geometry
The sparse error correction is intimately related to Compressive Sensing. Exploiting this connection, the paper proposes an error correction scheme pivoted on partial Fourier matr...
B. S. Adiga, M. Girish Chandra, Shreeniwas Sapre
ICASSP
2011
IEEE
14 years 7 months ago
Extension of the Global Matched Filter to structured groups of atoms: Application to harmonic signals
When seeking a sparse representation of a signal on a redundant basis, one might want to convey available a priori information on the observations to the optimization criterion. I...
Jean-Jacques Fuchs
132
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ICASSP
2008
IEEE
15 years 10 months ago
Link throughput of multi-channel opportunistic access with limited sensing
—We aim to characterize the maximum link throughput of a multi-channel opportunistic communication system. The states of these channels evolve as independent and identically dist...
Keqin Liu, Qing Zhao
TSP
2011
151views more  TSP 2011»
14 years 10 months ago
Stochastic Models for Sparse and Piecewise-Smooth Signals
Abstract—We introduce an extended family of continuous-domain stochastic models for sparse, piecewise-smooth signals. These are specified as solutions of stochastic differential...
Michael Unser, Pouya Dehghani Tafti