Performance evaluation of blind source separation schemes in anechoic and echoic environments

Authors:
Sungmin Woo;Jeong Hong
Affiliations:
POSTECH, Electronic and Electrical Eng. Dept., Pohang, Kyungbuk, South Korea;POSTECH, Electronic and Electrical Eng. Dept., Pohang, Kyungbuk, South Korea
Venue:
ISPRA'08 Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation
Year:
2008

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Abstract

In this paper we compare two different blind source separation algorithms, Degenerate Unmixing Estimation Technique (DUET) and Frequency-Domain Independent Component Analysis (FDICA). Even though both algorithms are known to be powerful in separating signals, each has superior to another in a specific condition. We investigate advantages and disadvantages of each algorithm, and evaluate their performances in anechoic and echoic conditions.