@inproceedings{77b53f667a44449a87c6d81cfae67b51,
title = "Blind source separation algorithm based on wavelet denoising",
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 whitening, Wavelet denoising, Wavelet transform",
author = "Xin Liu and Tan, \{Xue Zhi\} and Wei, \{Shou Ming\} and Anghuwo, \{Anna Auguste\}",
year = "2010",
doi = "10.1109/PCSPA.2010.184",
language = "英语",
isbn = "9780769541808",
series = "Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010",
pages = "739--742",
booktitle = "Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010",
note = "1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 ; Conference date: 17-09-2010 Through 19-09-2010",
}