摘要
Wavelet de-noising has been well known as an important method of signal de-noising. Recently,most of the research efforts about wavelet de-noising focus on how to select the threshold,where Donoho method is applied widely. Compared with traditional 2-band wavelet,3-band wavelet has advantages in many aspects. According to this theory,an adaptive signal de-noising method in 3-band wavelet domain based on nonparametric adaptive estimation is proposed. The experimental results show that in 3-band wavelet domain,the proposed method represents better characteristics than Donoho method in protecting detail and improving the signal-to-noise ratio of reconstruction signal.
Wavelet de-noising has been well known as an important method of signal de-noising. Recently, most of the research efforts about wavelet de-noising focus on how to select the threshold, where Donoho method is applied widely. Compared with traditional 2-band wavelet, 3-band wavelet has advantages in many aspects. According to this theory, an adaptive signal de-noising method in 3-band wavelet domain based on nonparametric adaptive estimation is proposed. The experimental results show that in 3-band wavelet domain, the proposed method represents better characteristics than Donoho method in protecting detail and improving the signal-to-noise ratio of reconstruction signal.
基金
the Scientific Research Foundation for the Returned Overseas Chinese Scholars of the Ministry of Education (No.2004.176.4)
the Natural Science of Foundation Shandong Province (No.Z2004G01).
