小波分析在微弱信号测量中的应用研究  

Application of Wavelet Threshold Denoising to Weak Signal Measurement

作　　者：黄宜军[1] 汪金友[1] 

机构地区：[1]信阳师范学院计算机系

出　　处：《计量学报》2007年第2期163-166,共4页Acta Metrologica Sinica

摘　　要：处理低信噪比的测量信号的关键是去除噪声,小波阈值消噪法是较为实用的一种处理方法。分析了Donoho的去噪阈值函数的优劣,基于sigmoid函数构造了一个新的阈值函数,该函数克服了硬阈值函数的分段性及软阈值函数的恒定偏差及导数不连续的弱点。对低信噪比的3种典型信号进行对比去噪仿真实验,结果表明该函数的去噪效果优于Donoho的阈值函数去噪以及传统的快速傅里叶变换去噪。The key to the processing of measuring signals with lower SNR is denoising. A practical method is wavelet threshold denoising. A new threshold denoising function is given based on the sigmoid function. The new function avoids to be discontinuous as hard threshold function and has no constant deviation of soft threshold function, The derivative of this new function is continuous. The denosing function of Donoho is analyzed. The simulation results show that the noises in three typical signals are denoised by the new threshold function more effectively than that by Donoho and FFT denoising.

关 键 词：计量学 小波分析 阈值去噪 信噪比 

分 类 号：TB97[一般工业技术—计量学]