172 search results - page 23 / 35 » Support Recovery of Sparse Signals |
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JMLR
2012
12 years 12 months ago
2012
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
ICASSP
2008
IEEE
15 years 3 months ago
2008
IEEE
A phase synchronizationmethod, which provides non-uniform frequency offset compensation needed for wideband OFDM [1], is coupled with low-complexity channel estimation in the time...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
We present a sliding window RLS for sparse filters, based on the greedy least squares algorithm. The algorithm adapts a partial QR factorization with pivoting, using a simplifie...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper considers the problem of finding sparse solutions from multiple measurement vectors (MMVs) with joint sparsity. The solutions share the same sparsity structure, and th...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...