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A Pulse Wave Filter Method Based on Wavelet Transform Soft-threshold and Adaptive Algorithm

机译:一种基于小波变换软阈值和自适应算法的脉冲波滤波方法

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摘要

A new method for pulse wave filter is proposed on the basis of wavelet transform soft-threshold denoising and wavelet adaptive algorithm in this paper. The wavelet soft-threshold filter and wavelet adaptive filter are made as combination filter system, after the high frequency noises are eliminated with wavelet soft-threshold denoising, the baseline drift is removed by wavelet adaptive filter, and then the clean pulse wave signals will be obtained. At last, through analysis the simulation and experimental wave's results and compare the practice parameters with traditional methods, it is proved that the advance and effectiveness of this new method.
机译:在本文中基于小波变换软阈值去噪和小波自适应算法,提出了一种脉冲波滤波器的新方法。小波软阈值滤波器和小波自适应滤波器作为组合滤波器系统,通过小波软阈值去噪消除了高频噪声后,通过小波自适应滤波器去除基线漂移,然后将清洁脉冲波信号获得。最后,通过分析模拟和实验波的结果,并通过传统方法比较实践参数,证明了这种新方法的进步和有效性。

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