Title :
A pulse wave filter method based on wavelet transform soft-threshold and adaptive algorithm
Author :
Shen, Zhao ; Hu, Chao ; Meng, Max Q -H
Author_Institution :
Inst. of Autom., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
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.
Keywords :
adaptive filters; signal denoising; wavelet transforms; baseline drift; clean pulse wave signals; combination filter system; high frequency noises; pulse wave filter method; wavelet adaptive algorithm; wavelet adaptive filter; wavelet soft-threshold denoising; wavelet soft-threshold filter; wavelet transform soft-threshold denoising; Adaptive filters; Filtering theory; Finite impulse response filter; Signal to noise ratio; Wavelet transforms; Adaptive Algorithm; Baseline Drift; Soft-threshold; Wavelet Transform;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554650
