摘要
研究了子波变换在随机噪声滤波中的应用；讨论了子波变换模极大值同信号奇异性之间的关系．给出了利用该极大模信息的信号重建方法；并用实测的卫星电视秒信号传播时延值进行计算，理论研究和实算结果表明该滤波方法能很好揭示信号与噪声之间的差别，比传统的滤波方法有更好的效果，为滤波提供了一种有效的手段。
In this paper, wavelet transform and its application to filtering random noise are studied. The relationship of wavelet local maxima across scales and singularity of signals is discussed. We give an algorithm that reconstructs a close approximation of one-dimensional signals form their multiscale maxima. To demonstrate the effectiveness of the method the delay data of second signal in TV-signal transmitted by synchronous satellite is processed. Theoretical research and the calculation results show that the method which can reveal the difference between signal and noise very well, is a better way than classical ways, and provides an effective way for filtering.
出处
《电波科学学报》
EI
CSCD
1998年第2期204-208,共5页
Chinese Journal of Radio Science
基金
中国科学院天文委员会和陕西天文台青年时频信号处理实验室资助
关键词
子波变换
滤波
信号重建
卫星电视
Wavelet transform Filtering Reconstruction of signal
