摘要
为了提高火控测试系统测试结果的精度与可信度,去除对测试系统在采集火控系统信号时混入的噪声是十分必要的。通过对某型火控系统在动态测试时采集的信号的研究,针对传统小波阈值去噪处理方法中因非一致降样取样而产生Pseudo-Gibbs现象,结合已有改进阈值法的优点,提出一种新型阈值函数代替传统软硬阈值函数,采用平移不变小波变换对采集的信号进行去噪处理,以提升去噪的效果。仿真结果表明,该方法能进一步减少均方误差,提高信噪比,使去噪后信号更好地逼近真实信号,具有一定的工程实用性。
Denoising the sampling signals of fire control system in effect is important to improve the precision and creditability for fire control system detectoer.The sampling signals during the dynamic testing was studied.A new threshold function is posed by assimilating the advantages of improved threshold functionsi,n order to improve the de-noising effectt,he translation invariant wavelet was used with the new threshold function to eliminate the Pseudo-Gibbs phenomenon caused by traditional wavelet threshold method.The simulations validate the method can minish the MSE and improve the SNRt,he processed signal is better approximation to the original signals,o the method is feasible in engineering items.
出处
《舰船科学技术》
2011年第5期74-77,共4页
Ship Science and Technology
关键词
小波变换
伪吉布斯现象
平移不变
去噪
循环平移法
wavelet transform
Pseudo-gibbs
translation invariance
de-nosing
cycle-spinning
