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sparse representation文献资料
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To effectively suppress white noise and preserve more useful components of electrocardiogram (ECG) signal, a novel de-noising method based on morphological component analysis (MCA) is proposed. MCA is a method which allows us to separate features contained in an original signal when these features present different morphological aspects. According to the features of ECG, we used the UWT dictionary to sparsely represent mutated component, and used the DCT dictionary to sparsely represent smooth component. The experimental results of the samples choosing from MIT-BIH databases show that the MCA-based method is effective for white noise removal.
