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Abstract: this dissertation too, an ICA based BSS algorithm based on non-Gaussianization of the mixed signal has been studied for its application in separation of convoluted mixture of speech in frequency domain. The non-Gaussianization based ICA algorithm works under the assumption of Central Limit Theorem (CLT) which states that if N independent and identically distributed standardized random variables 1 2 , ,........ N X X X with arbitrary Probability Density Function (PDF) are combined to form... (Update)
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BibTeX entry: (Update)
@misc{ prasad-fixedpoint,
author = "Rajkishore Prasad",
title = "Fixed-Point ICA Based Speech Signal Separation and Enhancement with Generalized
Gaussian Model",
url = "citeseer.ist.psu.edu/prasad05fixedpoint.html" }
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