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» Iterative compression and exact algorithms
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ICASSP
2011
IEEE
13 years 1 months ago
Bayesian Compressive Sensing for clustered sparse signals
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
Lei Yu, Hong Sun, Jean-Pierre Barbot, Gang Zheng
CSB
2004
IEEE
177views Bioinformatics» more  CSB 2004»
14 years 1 months ago
Compressed Pattern Matching in DNA Sequences
We propose derivative Boyer-Moore (d-BM), a new compressed pattern matching algorithm in DNA sequences. This algorithm is based on the BoyerMoore method, which is one of the most ...
Lei Chen, Shiyong Lu, Jeffrey L. Ram
ICIP
2000
IEEE
14 years 11 months ago
On Data-Filling Algorithms for MRC Layers
A recently adopted standard, the Mixed Raster Content (MRC) imaging model, represents compound images as a superposition of layers. Since layers are superimposed, large regions ma...
Ricardo L. de Queiroz
ICASSP
2011
IEEE
13 years 1 months ago
Sparsity-undersampling tradeoff of compressed sensing in the complex domain
In this paper, recently developed ONE-L1 algorithms for compressed sensing are applied to complex-valued signals and sampling matrices. The optimal and iterative solution of ONE-L...
Zai Yang, Cishen Zhang
MICCAI
2010
Springer
13 years 7 months ago
Efficient MR Image Reconstruction for Compressed MR Imaging
In this paper, we propose an efficient algorithm for MR image reconstruction. The algorithm minimizes a linear combination of three terms corresponding to a least square data fitti...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas