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本文在 Ｄｏｎｏｈｏ 提出的从噪声中恢复信号的非线性小波方法的基本原理的基础上， 并针对非线性小波方法的核心问题——浮动阈值的设定提出了新的算法。通过算例证明， 所设计的浮动阈值在实际应用中效果较好， 特别在低信噪比时信号恢复效果明显优于现常用的浮动阈值设计方法。
Based on the basic principle of nonlinear wavelet method proposed by Donoho for signal recovery from noise, a new algorithm is proposed for setting the floating threshold of the nonlinear wavelet method. It is proved by examples that the designed floating threshold is effective in practical application. Especially at low signal-to-noise ratio, the signal recovery effect is obviously better than the commonly used floating threshold design method.