摘要
针对于实际应用中的小信号特别是完全被噪声淹没情况下的微弱信号提取的问题,本文依据白噪声信号的小波变换系数相对比有用信号的小波系数小的特点,利用小波变换对信号进行消噪来提取微弱信号,仿真结果表明小波变换能够有效的消除噪声,将有用微弱信号从受噪声污染的信号中提取出来。
Due to the picking up issue for those small signal in prattle applications, especially for those delicacy signals, entirety submerged in yawp, The wavelet transform was used to extract the weak signal by de - noising in this paper because the wavelet coefficient of white noise is smaller than that of useful signals. The results of simulation show that the wavelet transform can effectively reduce noise and separate the weak signal from the noise.
出处
《攀枝花学院学报》
2005年第3期89-90,共2页
Journal of Panzhihua University
