Convolutive Blind Source Separation based on Wavelet De-noising
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 antomatic method of and wavelet de-noising processing is proposed finally.It yields good results in the experiment and improves the performance of BSS system.
Convolutive mixture Time-Domain Blind Source Separation Communication Signals Wavelet Denoising
Hong-bin Zhang Peng-fei Xu
Faculty of Computer and Communication Engineering Huaian College of Information Technology Huaian ,China
国际会议
太原
英文
807-810
2012-12-08(万方平台首次上网日期,不代表论文的发表时间)