Research not for publishing papers, but for fun, for satisfying curiosity, and for revealing the truth.

This blog reports latest progresses in
(1) Signal Processing and Machine Learning for Biomedicine, Neuroimaging, Wearable Healthcare, and Smart-Home
(2) Sparse Signal Recovery and Compressed Sensing of Signals by Exploiting Spatiotemporal Structures
(3) My Works


Tuesday, January 24, 2012

Literature-CS: Sparse Signal Recovery/Compressed Sensing of ICASSP 2012

ICASSP 2012 has posted the technical program: http://www.icassp2012.com/RegularProgram.asp

Here are the sections on sparse signal recovery/compressed sensing:


SPTM-P6: Joint SPTM/SPCOM Session: Sampling Sparsity and Reconstruction II

SPCOM-P2: Sampling, Coding and Modulation

SPTM-L3: Compressed Sensing and Sparsity I

SPTM-L4: Compressed Sensing and Sparsity II

SPTM-L5: Compressed Sensing and Sparsity III

SPCOM-L4: Sparse Signal Processing for Communications and Networking

SPTM-P9: Sampling and Reconstruction

SAM-P5: Joint SAM/SPTM Session: Compressed Sensing and Sparse Signal Modeling


My paper will be presented at the section: SPTM-L4: Compressed Sensing and Sparsity II

The title is:
Z.Zhang, B.D.Rao, Recovery of Block Sparse Signals Using the Framework of Block Sparse Bayesian Learning

You can read it now from my website: http://sccn.ucsd.edu/%7Ezhang/Zhang_ICASSP2012.pdf
Codes can be downloaded at: http://sccn.ucsd.edu/%7Ezhang/BSBL_EM_Code.zip

The paper is the early work of the journal version:

Z.Zhang, B.D.Rao, Extension of SBL Algorithms for the Recovery of Block Sparse Signals with Intra-Block Correlation

The paper can be obtain from: http://arxiv.org/abs/1201.0862

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