文件列表:

CSCODE\CS\BSBL_BO.m (15593, 2012-07-24)
CSCODE\CS\BSBL_EM.m (14307, 2012-05-30)
CSCODE\CS\Compressed Sensing of EEG\BSBL_BO.m (15593, 2012-07-24)
CSCODE\CS\Compressed Sensing of EEG\EEGdata_ch1.mat (114724, 2012-06-13)
CSCODE\CS\Compressed Sensing of EEG\experiment_demo.m (2640, 2012-09-25)
CSCODE\CS\Compressed Sensing of EEG\Phi.mat (7259, 2012-03-09)
CSCODE\CS\Compressed Sensing of EEG\recovery_result_by_BSBL.mat (932267, 2012-07-13)
CSCODE\CS\Compressed Sensing of EEG\ssim_1d.m (3850, 2012-03-15)
CSCODE\CS\Compressed Sensing of FECG\BPFilter.m (1469, 2008-03-07)
CSCODE\CS\Compressed Sensing of FECG\BSBL_BO.m (15593, 2012-09-24)
CSCODE\CS\Compressed Sensing of FECG\Demo_Fetal_ECG_Telemonitoring.m (4473, 2012-09-25)
CSCODE\CS\Compressed Sensing of FECG\FastICA.m (18304, 2012-06-25)
CSCODE\CS\Compressed Sensing of FECG\ICAshow.m (2373, 2012-06-25)
CSCODE\CS\Compressed Sensing of FECG\Phi.mat (8510, 2012-06-25)
CSCODE\CS\Compressed Sensing of FECG\signal_01.mat (5499206, 2012-01-26)
CSCODE\CS\Compressed Sensing of FECG\standarize.m (697, 2012-06-21)
CSCODE\CS\Compressed Sensing of FECG\whiten.m (1407, 2012-06-21)
CSCODE\CS\DEMO_knownPartition_noise.m (4651, 2012-05-30)
CSCODE\CS\DEMO_knwonPartition_noiseless.m (4215, 2012-05-30)
CSCODE\CS\DEMO_nonSparse.m (3760, 2012-09-25)
CSCODE\CS\DEMO_unknownBlockPartition.m (5927, 2012-05-30)
CSCODE\CS\EBSBL_BO.m (9682, 2012-05-30)
CSCODE\CS\ECGsegment.mat (1170, 2012-05-28)
CSCODE\CS\Phi.mat (3597, 2012-02-15)
CSCODE\CS\Compressed Sensing of EEG (0, 2012-07-31)
CSCODE\CS\Compressed Sensing of FECG (0, 2012-09-25)
CSCODE\CS (0, 2012-09-25)
CSCODE (0, 2013-09-14)

Author : Zhilin Zhang Date : Sep 25, 2012 Version: 1.3.4 ------------------------------------------------------------------------------ This package includes BSBL-EM, BSBL-BO, and EBSBL-BO algorithms. All the three algorithms are introduced in: [1] Zhilin Zhang, Bhaskar D. Rao, Extension of SBL Algorithms for the Recovery of Block Sparse Signals with Intra-Block Correlation, submitted to IEEE Trans. on Signal Processing, 2012. [Online] arXiv:1201.0862v1 [stat.ML] BSBL-EM is also presented in the conference paper: [2] Zhilin Zhang, Bhaskar D. Rao, Recovery of Block Sparse Signals Using the Framework of Block Sparse Bayesian Learning, ICASSP 2012 with the name 'Cluster-SBL (Type I)'. ------------------------------------------------------------------------------ In this package, there are four demo files. Their functions are described as follows: DEMO_knownPartition_noise.m Shows how to use BSBL-EM and BSBL-BO to carry out a noisy experiment when the block partition is known. DEMO_knownPartition_noiseless.m Shows how to use BSBL-EM and BSBL-BO to carry out a noiseless experiment when the block partition is known. DEMO_unknownBlockPartition.m Shows how to use the four algorithms to carry out a noisy experiment when the block partition is UNKNOWN. DEMO_nonSparse.m Shows hwo to use BSBL-BO to recover a non-sparse signal (Fetal ECG signal) Details can be found in the paper: [3]Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao, Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Non-Invasive Fetal ECG via Block Sparse Bayesian Learning, submitted to IEEE Trans. on Biomedical Engineering, 2012. [Online] http://arxiv.org/abs/1205.1287 ------------------------------------------------------------------------------ There are two folds, which show how to use BSBL-BO to recover fetal ECG and EEG. The details are given below: [Compressed Sensing of FECG] includes demo files using BSBL-BO to recover a 8-channel fetal ECG raw recordings and then perform ICA decomposition. [Compressed Sensing of EEG] includes demo files using BSBL-BO to recover EEG ------------------------------------------------------------------------------ Welcome to send me any questions. I can be reached at: zhangzlacademy@gmail.com ------------------------------------------------------------------------------

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