期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：11
页码：329-338
DOI：10.14257/ijsip.2015.8.11.30
出版社：SERSC
摘要：The electrocardiogram (ECG) signal processing plays an important role in diagnosing cardiopathy. Sparse decomposition provides a new tool for ECG signal processing. Matching pursuit (MP) algorithm uses overcomplete dictionary to decompose the signal, so it can reflect the properties of the signal. In decomposition process, searching a best atom of the dictionary is an optimal problem; Genetic Algorithm (GA) is used to solve this problem. This paper proposed an improved MP algorithm based on GA to denoise the ECG signal, whose dictionary is composed of Gabor atoms. The experiment simulation results show that the proposed method can get a good denosing effect in a shorter time than not use GA algorithm.
