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» On sparse signal representations
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ICASSP
2011
IEEE
14 years 10 months ago
A wideband doubly-sparse approach for MITO sparse filter estimation
We propose an approach for the estimation of sparse filters from a convolutive mixture of sources, exploiting the time-domain sparsity of the mixing filters and the sparsity of ...
Simon Arberet, Prasad Sudhakar, Rémi Gribon...
ICASSP
2008
IEEE
16 years 1 months ago
Compressed sensing with sequential observations
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Wills...
ICASSP
2009
IEEE
16 years 1 months ago
Bayesian sparse image reconstruction for MRFM
In this paper, we propose a Bayesian model and a Monte Carlo Markov chain (MCMC) algorithm for reconstructing images that consist of only few non-zero pixels. An appropriate distr...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
NIPS
2008
15 years 8 months ago
Resolution Limits of Sparse Coding in High Dimensions
This paper addresses the problem of sparsity pattern detection for unknown ksparse n-dimensional signals observed through m noisy, random linear measurements. Sparsity pattern rec...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
ICIP
1994
IEEE
16 years 8 months ago
Wavelet Soft-Thresholding of Time-Frequency Representations
The high noise sensitivity of the Wigner distribution makes smoothing a necessity for producing readable time-frequency images of noise corrupted signals. Since h e a r smoothing ...
Richard G. Baraniuk