Blind source separation with modified ICA

Shih Lin Lin, Pi Cheng Tung

研究成果: 雜誌貢獻期刊論文同行評審

1 引文 斯高帕斯(Scopus)

摘要

Blind source separation is an important but highly challenging technology in many fields of applied sciences. Independent Component Analysis (ICA) is a technology that incorporates statistics, computer science, and digital signal processing. In the separation of blind sources under multiple sensors, ICA is able to estimate approximately the types of signal. This study proposed a modified ICA method which can estimate the actual phase and amplitude and retrieve the signals separated by blind source separation to its original state. This method has great potential for application in diverse fields.

原文???core.languages.en_GB???
頁(從 - 到)364-371
頁數8
期刊WSEAS Transactions on Communications
6
發行號2
出版狀態已出版 - 2月 2007

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