摘要
针对在汽车综合实验台上获得的汽车制动时的轮速信号，在MATLAB平台上，分别采用传统小波分析方法与提升小波分析方法对轮速信号中的噪声进行了多层次分解，对分解的各层细节信号，利用阈值处理方法量化处理，最终利用传统小波和提升小波的逆变换对信号进行重构，并计算两种处理方法的运算时间和处理后的信号的信噪比。分析结果表明，传统小波与提升小波处理效果基本一致的情况下，提升小波具有更快的处理速度。
Aim at wheel speed signal obtained from automotive integral experiment platform,on MATLAB platform,multi-level decomposed for the noise from wheel speed signal respectively by means of wavelet analysis and improve wavelet analysis.Using threshold processing method to do quantization process for the detail signal of decomposed each layer.Finally reconfiguration by using inverse transform signal traditional wavelet and lifting wavelet,and calculate the operation time of two kinds of processing methods and signal to noise ratio of processed signal.Lifting wavelet hasThe analysis result shows,improve wavelet has faster processing speed while traditional wavelet and lifting wavelet processing effect basic consistant
出处
《客车技术》
2012年第6期12-14,共3页
Bus Technology
关键词
轮速信号
提升小波变换
阈值去噪
防抱死制动系统
wheel speed signal,promote small wave transform,threshold denoising,ABS brake system
