USING MULTIVARIATE SCORE FUNCTIONS IN SOURCE SEPARATION: APPLICATION TO POST NON-LINEAR MIXTURES

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BABAEI ZADEH M.; JUTTEN C.; NAYEBI K.

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Paper Information

Journal: Scientia Iranica Year:2002 | Volume:9 | Issue:4 (ELECTRICAL ENGINEERING) Page(s): 409-418

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Title

USING MULTIVARIATE SCORE FUNCTIONS IN SOURCE SEPARATION: APPLICATION TO POST NON-LINEAR MIXTURES

Author(s)

BABAEI ZADEH M. | JUTTEN C. | NAYEBI K. | Issue Writer Certificate

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Abstract

In this paper, Joint Score Function (JSF) and Marginal Score Function (MSF) are first defined. It is then pointed out that their difference (SFO) can be treated as the stochastic gradient of mutual information and. hence, can be used in minimizing the mutual information with gradientbased methods. An estimator for SFO is then presented. based on nonlinear regression by means of spline smoothing. It is shown that SFO can be used to obtain a new non parametric algorithm for source separation in Post Non-Linear(PNL) mixtures. The method is very general and can be extended to convolutive mixtures. which is currently being studied.

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APA: Copy

BABAEI ZADEH, M., JUTTEN, C., & NAYEBI, K.. (2002). USING MULTIVARIATE SCORE FUNCTIONS IN SOURCE SEPARATION: APPLICATION TO POST NON-LINEAR MIXTURES. SCIENTIA IRANICA, 9(4 (ELECTRICAL ENGINEERING)), 409-418. SID. https://sid.ir/paper/289493/en

Vancouver: Copy

BABAEI ZADEH M., JUTTEN C., NAYEBI K.. USING MULTIVARIATE SCORE FUNCTIONS IN SOURCE SEPARATION: APPLICATION TO POST NON-LINEAR MIXTURES. SCIENTIA IRANICA[Internet]. 2002;9(4 (ELECTRICAL ENGINEERING)):409-418. Available from: https://sid.ir/paper/289493/en

IEEE: Copy

M. BABAEI ZADEH, C. JUTTEN, and K. NAYEBI, “USING MULTIVARIATE SCORE FUNCTIONS IN SOURCE SEPARATION: APPLICATION TO POST NON-LINEAR MIXTURES,” SCIENTIA IRANICA, vol. 9, no. 4 (ELECTRICAL ENGINEERING), pp. 409–418, 2002, [Online]. Available: https://sid.ir/paper/289493/en

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