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Decomposition and compression for ECG and EEG signals with sequence index coding method based on matching pursuit 被引量:1
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作者 ZHANGHong-xin CHENCan-feng +1 位作者 WUYan-ling LIPei-hua 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2012年第2期92-95,共4页
An efficient compression method is proposed by encoding the sequence index of atoms based on matching pursuit (MP) algorithm with over-complete Gabor dictionary, which has the merit to adjust the compression ratio ... An efficient compression method is proposed by encoding the sequence index of atoms based on matching pursuit (MP) algorithm with over-complete Gabor dictionary, which has the merit to adjust the compression ratio (CR) according to the practical request with low distortion. It is also combined with genetic algorithm (GA) to reduce the computation complexity Then, the validity of this method is verified by applying it in the compression of electrocardiography (ECG) and Electroencephalography (EEG) signals. The simulation results show that the CR can be achieved at 18:1 with only 1.06% and 2.15% reconstruction errors on ECG and EEG signals respectively. It has higher CR and less reconstruction errors compared to that of the traditional methods, and noise suppression effect is also presented. 展开更多
关键词 ignal decomposition and compression matching pursuit ECG EEG
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