基于第二代小波变换的脉搏信号去噪处理

小波变换在信号处理中有着广泛的应用,但是传统小波变换依赖于傅立叶变换,有大量的卷积运算,运算速度较慢。本文介绍了第二代小波变换的基本原理,并用其处理脉搏波信号。在滤除噪声时采用了一种新的阈值函数,消除了软阈值法和硬阈值法的局限性,第二代小波变换的结果与传统小波变换的结果对比表明第二代小波变换的处理效果优于传统的小波变换。

Denoising of the pulse signal based on the second generation wavelet transform

Wavelet transform is used widely in signal processing. Because the classical wavelet transform depends on Fourier transform, and its realization is based on a large amount of convolution computation, the operation speed is low. In this paper the second wavelet transform is introduced and used to process pulse signal. A new threshold function is used in signal denoising, and it eliminates the limitation of the method of the soft threshold and the hard threshold. The second generation wavelet transform processing result is compared with the result processed by traditional wavelet transform. It is obvious that the new method yields superior results.