摘要
A new de-noising algorithm is proposed. The characteristics of wavelet transform coefficients of general signal and white noise are analyzed. Hampel filter is modified for the de-noising algorithm. Taking advantage of the different characteristics of wavelet transform coefficients of white noise and useful signal, the modified filter is used to process the wavelet transform coefficients and reduce the noise in the observed signal. Experimental results show that the de-noising algorithm has good performance for different kinds of signals or different SNR (signal noise ratio), especially in the case of low SNR. So, it is a novel method for the detection of faint signals under a strong noise background.
| 源语言 | 英语 |
|---|---|
| 页（从-至） | 740-743 |
| 页数 | 4 |
| 期刊 | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| 卷 | 23 |
| 期 | 6 |
| 出版状态 | 已出版 - 12月 2003 |
指纹
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Zhang, J. X., Zhong, Q. H., & Dai, Y. P. (2003). New de-noising algorithm based on wavelet transform. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 23(6), 740-743.