摘要
在对传感器误差经行数字滤波器补偿过程中,准确的输入信号对补偿结果有着至关重要的作用,针对传统去噪法的弊端,提出了小波去噪法。阐述了小波去噪的基本原理和方法,并提出了一种新的阈值函数,比较好的弥补了软硬阈值函数的缺点。实验验证新的阈值函数去噪效果更加明显。同时利用DSP高速的运算能力、强大的处理能力,在DSP硬件上实现小波阈值去噪算法,为下一步实现动态补偿数字滤波器系统提供基础。
Accurate results with the input signal play a vital role for the dynamic compensation to sensor,owing to the short- comings of the traditional denoising method, this thesis proposed wavelet denoising method . The basic principles of wavelet denois- ing and methods are described, this paper proposes a new thresholding function to some extent overcoming the shortcomings of dis- continuity in hard-thresholding function and constant bias in soft-thresholding function. The result shows that that new threshold function de-noising has a more obvious effect. By using the capability of high-speed computing, powerful processing of DSP as the real-time processing platform for wavelet denoising, Wavelet thresholding denoising algorithm is implemented based on Digital Sig- nal Processors, to provide the basis for the dynamic compensation system.
出处
《仪表技术与传感器》
CSCD
北大核心
2012年第12期89-91,共3页
Instrument Technique and Sensor
关键词
传感器补偿
阈值函数
小波去噪
MALLAT算法
DSP
sensor compensation
thresholding function
wavelet denoising
mallat algorithm
digital signal processors
