Convolutive Blind Source Separation Based on Wavelet De-Noising

Abstract:

The paper discusses the time-domain blind seperation applied to communication signals, using an ICA algorithm EFICA together with a wavelet de-noising processing method. In the Blind source separation system, regardless of the mixed signals and separated signals, noise pollution occurs frequently, it increases the complexity of BSS and the difficulty of dealing with the aftermath. So an automatic method of and wavelet de-noising processing is proposed finally. It yields good results in the experiment and improves the performance of BSS system.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 3356-3361
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.3356
• Online since: September 2013
• Authors: Hong Bin Zhang, Peng Fei Xu
• Keywords: Communication Signals, Convolutive Mixture, Time-Domain Blind Source Separation, Wavelet Denoising

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