Title :
M-band wavelet de-noising based on nonparametric adaptive estimation
Author :
Li, Li ; Yuhua, Peng ; Peijun, Xue
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
Abstract :
In this paper, we propose a new de-noising method based on m-band wavelet theory and nonparametric adaptive estimation method presented by Birge-Massart. The experiment results are compared with 2-band wavelet de-noising method based on nonparametric adaptive estimation and better characteristics are represented by the proposed method.
Keywords :
adaptive estimation; signal denoising; wavelet transforms; Birge-Massart method; m-band wavelet denoising; nonparametric adaptive estimation method; wavelet theory; Adaptive estimation; Adaptive filters; Band pass filters; Bandwidth; Filter bank; Filtering theory; Frequency; Low pass filters; Noise reduction; Wavelet analysis; Adaptive Estimation; M-band Wavelet; Nonparametric; Signal De-noising;
Conference_Titel :
Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005. MAPE 2005. IEEE International Symposium on
Print_ISBN :
0-7803-9128-4
DOI :
10.1109/MAPE.2005.1618028
