信号处理技术中有一项重要的技术就是信号噪声的消除,传统的FFT变换在消噪技术中有其局限性。本文探讨了基于小波分析信号消噪技术的原理与实现步骤,以及小波多尺度分解技术在信号处理技术中的优越性,并在Matlab平台上进行仿真测试。实例证明,利用小波技术可以大大提高信号消噪的能力和效果。 An important technique in signal processing is the elimination of signal noise. The traditional FFT has its limitations in noise cancellation. This paper explores the principle and implementation steps of signal denoising based on wavelet analysis, as well as the superiority of wavelet multi-scale decomposition in signal processing, and carries out simulation test on Matlab platform. The example proves that the use of wavelet technology can greatly improve the signal denoising ability and effectiveness.