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基于小波降噪的DSP准实时实现研究 被引量:1

On Signal Denoising Using Quasi Real-Time Wavelet Algorithm in DSP Embedded System
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摘要 针对信号小波降噪处理的实时性要求,提出一种基于小波降噪理论的准实时降噪算法的DSP嵌入式实现方案;给出使用MATLAB对准实时小波降噪方法与离线小波降噪方法的仿真分析,并依据准实时小波降噪方法设计了DSP嵌入式平台;将噪声水平为σ_(orginal)=1.0的含噪信号通过上述DSP嵌入式平台,采用准实时小波降噪方法,取得了σ_(orginal)=0.65589的降噪效果;同时,将上述方案应用于对液体流速信号降噪,降噪效果明显。 One common problem in Wavelet denoising is how to complete real--time denoising in some system. A quasi real--time Wavelet dcnoising Arithmetic on DSP embedded platform was proposed. For the quasi real - time and out line wavelet arithmetic, the sim ulation and analysis was presented by using MATLAB7. 0. And the platform was designed for the quasi real-- time wavelet arithmetic, With the quasi real time wavelet arithmetic, the platform reduced the noise effectively from σorginal= 1. 00000 to σorginal=0. 65589. Other wise, the effect was very obvious in the application of denoising the signal measuring liquid rate.
出处 《计算机测量与控制》 CSCD 2008年第12期1931-1933,1947,共4页 Computer Measurement &Control
关键词 小波变换 准实时降噪 DSP处理器 DSP嵌入式平台 TMS320C6713 wavelet transform quasi real--time denoising DSPs DSP--Emhedded platform TMS320C6713
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