The threshold wavelet-denoise is a method that uses wavelet-transform to decompose and reconstruct noise signal,and limits the wavelet-coefficient analyzed via a threshold so as to eliminate the noise. The characteristics of two traditional wavelet compromise methods, referred to as the soft-thresholding method and hard-thresholding method, were analyzed in the wavelet domain, and the disadvantage of traditionary threshold denoising method were pointed out, and a compromise of the hard and soft threshold method for denoising was proposed. The radar signal is brought into the process of information denoising experiments. The result based on Matlab shows that the improved method does better than the traditional threshold method in denoising.%小波阚值去噪是通过小波变换技术将含噪信号分解及重构,通过一个阈值限定小波分解后的小波系数来去除噪声的方法.在小波分析域中分析了传统的软阈值法和硬阈值去噪方法的特点,同时指出传统分析法中存在的缺点,提出了软硬阈值折衷的去噪方法.采用雷达信号用Matlab对去噪效果进行仿真,证明了改进方法的去噪效果优于单纯的软阈值与硬阈值方法.
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