Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 740-743 |
| Number of pages | 4 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 23 |
| Issue number | 6 |
| Publication status | Published - Dec 2003 |
Keywords
- De-noising algorithm
- Hampel filter
- Wavelet transform
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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.