小波变换技术被运用于信号处理方面,经过小波变换将相关信号特性有效分配至各个不同尺度对应小波变换系数上,再经过小波变换系数详细分析及处理,能够有效对相关信号施以压缩及奇异性检测和噪声降低。现根据系统噪音的基本特征性,通过无线光通信链路给出了相应的模型。本文分析了一种基于小波变换的无线光通信降噪算法,将FFT降噪及基于小波变换降噪进行了对比,得到小波变换降噪效果更好。 Wavelet transform technology is applied to signal processing. After wavelet transform, the relevant signal characteristics are effectively distributed to corresponding wavelet transform coefficients of different scales. After wavelet transform coefficients are analyzed and processed in detail, the signals can be effectively compressed and singular Detection and noise reduction. Now based on the basic characteristics of the system noise, the wireless optical communication link is given the corresponding model. This paper analyzes a wireless optical communication based on wavelet transform noise reduction algorithm, the FFT noise reduction and wavelet transform based noise reduction are compared, the wavelet transform noise reduction effect is better.