一种新的小波消噪阈值的估计方法

小波多尺度分解是一种有效的信号去噪方法，对于非平稳信号的消噪，主要是选取合适的小波及每层小波系数的阈值。基于传统的阈值去噪方法，在分析研究了它们的优缺点之后，本着改进滤波效果，提高去噪质量的目的，提出了一种改进方案。该改进方案克服了传统阈值去噪方法的缺陷，并适用于进一步的自适应滤波的需求，仿真试验证实了该改进方案的有效性和优越性。

A Novel Thresholding Algorithm of Wavelet De-noising

It is an effective method to reduce the noise in signals by wavelet multiple decomposition. The keys of reducing noise in non-stationary signals are to select good mother wavelet and thresholds for each layer wavelet decomposition coefficients. After the analysis and study of the classical threshold denoising methods. This paper presents a new schema based on them as their modified project so as to improve the denoising effect. This modified project can overcome the shortcomings of the classical threshold denoising methods in some extent. Moreover, it can be applied to the adaptive wavelet threshold denoising algorithm, which is verified through a good many of simulation experiments.