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» Compressed Sensing and Redundant Dictionaries
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ICASSP
2009
IEEE
14 years 2 months ago
Joint reconstruction of compressed multi-view images
This paper proposes a distributed representation algorithm for multi-view images that are jointly reconstructed at the decoder. Compressed versions of each image are first obtain...
Xu Chen, Pascal Frossard
TSP
2010
13 years 2 months ago
Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing
Abstract--In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We...
Christian R. Berger, Shengli Zhou, James C. Preisi...
PRDC
2000
IEEE
14 years 5 hour ago
Transient errors and rollback recovery in LZ compression
This paper analyzes the data integrity of one of the most widely used lossless data compression techniques, Lempel-Ziv (LZ) compression. In this algorithm, because the data recons...
Wei-Je Huang, Edward J. McCluskey
ICASSP
2011
IEEE
12 years 11 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...
INTERSPEECH
2010
13 years 2 months ago
Artificial and online acquired noise dictionaries for noise robust ASR
Recent research has shown that speech can be sparsely represented using a dictionary of speech segments spanning multiple frames, exemplars, and that such a sparse representation ...
Jort F. Gemmeke, Tuomas Virtanen