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ICASSP
2011
IEEE
14 years 1 months ago
Denoising sparse noise via online dictionary learning
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
ICASSP
2011
IEEE
14 years 1 months ago
Basis Pursuit in sensor networks
Basis Pursuit (BP) finds a minimum ℓ1-norm vector z that satisfies the underdetermined linear system Mz = b, where the matrix M and vector b are given. Lately, BP has attracte...
João F. C. Mota, João M. F. Xavier, ...
ICASSP
2011
IEEE
14 years 1 months ago
Cosparse analysis modeling - uniqueness and algorithms
In the past decade there has been a great interest in a synthesis-based model for signals, based on sparse and redundant representations. Such a model assumes that the signal of i...
Sangnam Nam, Michael E. Davies, Michael Elad, R&ea...
ICASSP
2011
IEEE
14 years 1 months ago
Using residual vector quantization for image content classification
Multistage residual vector quantizers (RVQ) with optimal direct sum decoder codebooks have been successfully designed and implemented for data compression. Due to its multistage s...
Syed Irteza Ali Khan, Christopher F. Barnes
81
Voted
CISS
2010
IEEE
14 years 1 months ago
Concentration of measure for block diagonal matrices with repeated blocks
Abstract—The theoretical analysis of randomized compressive operators often relies on the existence of a concentration of measure inequality for the operator of interest. Though ...
Christopher J. Rozell, Han Lun Yap, Jae Young Park...