Donoho和Johnstone的多分辨率小波去噪法在数字信号处理方面已成为非常有用的工具 ,但是通常情况下选取低分辨率截段参数jo是很困难的 ,需要源信号的某些正则性 .对于一给定的未知信号和噪声指数σ,哪一个jo是最佳的呢 ?本文对于任意波形的信号构造了一个统计量 ,用于建立一个寻找最佳jo值的自适应方法 ,并对其统计特性进行了分析 ,大量的仿真计算结果表明 ,该算法确实非常准确有效 ,因此使得多分辨率去噪法有了更广泛的应用背景 . Multi-resolution wavelet denoising by Donoho and Johnstone has been a very useful tool in digital signal processing, but it is often difficult to select the low-resolution intercept parameter jo and require some regularity of the source signal Given a given unknown signal and noise figure σ, which jo is best? In this paper, we construct a statistic for arbitrary waveform signals to establish an adaptive method to find the best value of jo, A lot of simulation results show that the algorithm is indeed very accurate and effective, thus making the multi-resolution denoising method has a wider application background.