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详述了小波变换去噪的基本原理及方法,其中阈值的选取将直接影响信号去噪的质量。由于传统的阈值处理方法对非高斯噪声的抑制效果不明显,因此,在非高斯噪声存在的情况下,该方法受到了限制。在传统的小波阈值去噪方法的基础上,提出了一种新的阈值函数。仿真结果表明,新方法在去除非高斯噪声方面表现出了较好的特性,信噪比和均方根误差等性能指标较传统方法有明显提高,同时它具有传统阈值函数不可比拟的灵活性。
Describes the basic principles and methods of wavelet transform denoising, in which the selection of the threshold will directly affect the quality of signal denoising. Due to the non-Gaussian noise suppression effect is not obvious by the traditional threshold processing method, the method is limited in the presence of non-Gaussian noise. Based on the traditional wavelet threshold denoising method, a new threshold function is proposed. The simulation results show that the new method has better performance in removing non-Gaussian noise, and the performance indexes such as signal-to-noise ratio and root-mean-square error are obviously improved compared with the traditional method. At the same time, it has the unparalleled flexibility of the traditional threshold function.