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小波多分辨率分解能够将信号在不同的尺度上展开，因而具有对信号按频带进行处理的能力，这对于分析特定频段上信号的细节，建立表征识别故障信号的特征以及清除信号的干扰与噪声等方面具有十分重要的意义。本文给出了信号多分辨率分析在信号消噪方面的具体应用实例。
Wavelet multi-resolution decomposition can spread the signal on different scales and thus has the ability to process the signal in frequency bands. This is useful for analyzing the details of signals in a particular frequency band, characterizing the identification of fault signals, and the interference and noise removal signals Etc. is of great significance. This article gives a concrete example of signal multiresolution analysis in signal denoising.