Title :
Study on denoising of fractal signal based on Shannon entropy
Author :
Kai, HE ; Shu-xun, Wang
Author_Institution :
Sch. of Commun. Eng., Jilin Univ., Changchun, China
Abstract :
In this paper, the wavelet coefficients´ Shannon entropy of 1/f fractal signal and white noise at different scales is analyzed. Based on the proportion of wavelet coefficients´ Shannon entropy of 1/f signal with that of signal polluted by noise at each scale, a new method of estimating 1/f fractal signal from added white noise is proposed in this paper. The simulation results show that this method is effective and practicable. Since it doesn´t need to know the parameters of fractal signal and the statistical characteristic of added white noise in advance, this method is suitable in many situations.
Keywords :
1/f noise; entropy; signal denoising; statistical analysis; wavelet transforms; white noise; 1/f fractal signal; fractal signal denoising; wavelet coefficient Shannon entropy; white noise; Entropy; Fractals; Noise reduction; Pollution; Signal analysis; Signal processing; Wavelet analysis; Wavelet coefficients; Wavelet transforms; White noise;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279384