DocumentCode
3079974
Title
Blind Source Separation Algorithm Based on Wavelet Denoising
Author
Liu, Xin ; Tan, Xue-Zhi ; Wei, Shou-Ming ; Anghuwo, Anna Auguste
Author_Institution
Res. Centre of Commun., Harbin Inst. of Technol., Harbin, China
fYear
2010
fDate
17-19 Sept. 2010
Firstpage
739
Lastpage
742
Abstract
In this paper, a method of blind source separation (BSS) is proposed based on wavelet denoising. This method firstly makes wavelet transform (WT) to the observation signals, and then adopts a uniform method which combines signal whitening and maximum information algorithm to obtain the separate signals which approach to the source signals. Simulations show this method could achieve better performance than that without wavelet denoising, and when the iterative number reaches 4000, it could achieve very good results.
Keywords
blind source separation; signal denoising; wavelet transforms; blind source separation; maximum information algorithm; signal whitening; wavelet denoising; wavelet transform; Blind source separation; Noise reduction; Signal processing algorithms; Wavelet transforms; blind source separation; signal whitening; wavelet denoising; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-8043-2
Electronic_ISBN
978-0-7695-4180-8
Type
conf
DOI
10.1109/PCSPA.2010.184
Filename
5635488
Link To Document