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小波变换是近年来兴起的热门信号处理技术,是一种非常有用的信号处理工具。本文阐述了连续小波去噪和离散小波去噪的原理,分析了基于小波去噪的几种不同方法(其中包括小波分解与重构,小波变换阈值法,小波变换模极大值法,以及它与独立分量分析相结合去除噪声的方法等)。通过检测和验证,表明该方法能较好的实现心电信号的消噪,都取得了较好的效果;同时,比较了每种方法的不足和缺陷。基于小波变换心电信号消噪的研究进展较快,通过多种方法结合运用进行消噪并取得了很好的效果,展望了利用基于小波变换心电信号消噪的前景。
Wavelet transform is a popular signal processing technology that has emerged in recent years and is a very useful signal processing tool. This paper describes the principle of continuous wavelet denoising and discrete wavelet denoising, analyzes several different methods based on wavelet denoising (including wavelet decomposition and reconstruction, wavelet transform threshold method, wavelet transform modulus maxima method, and it A method of removing noise by combining with independent component analysis, etc.). Through the detection and verification, it shows that this method can achieve better de-noising of ECG signal, and achieved better results. At the same time, the shortcomings and defects of each method are compared. Research on ECG denoising based on wavelet transform is progressing rapidly, and noise reduction has been achieved through a combination of methods and has achieved good results. The prospect of ECG denoising based on wavelet transform is prospected.