한국산업융합학회 논문집 (Journal of the Korean Society of Industry Convergence)
- 제7권1호
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- Pages.41-46
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- 2004
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- 1226-833X(pISSN)
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- 2765-5415(eISSN)
신경망 기반 Robust ICA에 의한 은닉신호의 분리
Separation of Blind Signals Using Robust ICA Based-on Neural Networks
- 조용현 (대구가톨릭대학교 컴퓨터정보통신)
- Cho, Yong-Hyun (School of Compter & Information Comm., CUD.)
- 투고 : 2003.09.22
- 심사 : 2004.02.20
- 발행 : 2004.02.28
초록
This paper proposes a separation of mixed signals by using the robust independent component analysis(RICA) based on neural networks. RICA is based on the temporal correlations and the second order statistics of signal. This method e is applied for improving the analysis rate and speed in which the sources have very small or zero kurtosis. The proposed method has been applied for separating the 10 mixed finger prints of
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