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TIT
2010
137views Education» more  TIT 2010»
12 years 10 months ago
Average case analysis of multichannel sparse recovery using convex relaxation
This paper considers recovery of jointly sparse multichannel signals from incomplete measurements. Several approaches have been developed to recover the unknown sparse vectors from...
Yonina C. Eldar, Holger Rauhut
CISS
2010
IEEE
12 years 7 months ago
Average case analysis of sparse recovery from combined fusion frame measurements
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...
Petros Boufounos, Gitta Kutyniok, Holger Rauhut
CORR
2007
Springer
167views Education» more  CORR 2007»
13 years 3 months ago
Optimal Solutions for Sparse Principal Component Analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
SIAMJO
2011
12 years 6 months ago
Rank-Sparsity Incoherence for Matrix Decomposition
Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to decompose the given matrix into its sparse and low-ran...
Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Pa...
JSAC
2008
105views more  JSAC 2008»
13 years 3 months ago
Vector Precoding for Wireless MIMO Systems and its Replica Analysis
This paper studies a nonlinear vector precoding scheme which inverts the wireless multiple-input multiple-output (MIMO) channel at the transmitter so that simple symbol-bysymbol de...
Ralf R. Müller, Dongning Guo, Aris L. Moustak...