منابع مشابه
Blind Signal Separation
Blind Signal Separation is the task of separating signals when only their mixtures are observed. Recently, Independent Component Analysis has become a favourite method of researchers for attacking this problem. We review the techniques, from cumulant-based algorithms to Infomax to second-order statistics, from feedback to feedforward architectures, from the instantaneous to the convolutional pr...
متن کاملBlind Signal Separation Using an Extended Infomax Algorithm
The Infomax algorithm is a popular method in blind source separation problem. In this article an extension of the Infomax algorithm is proposed that is able to separate mixed signals with any sub- or super-Gaussian distributions. This ability is the results of using two different nonlinear functions and new coefficients in the learning rule. In this paper we show how we can use the distribution...
متن کاملBlind Signal Separation Using an Extended Infomax Algorithm
The Infomax algorithm is a popular method in blind source separation problem. In this article an extension of the Infomax algorithm is proposed that is able to separate mixed signals with any sub- or super-Gaussian distributions. This ability is the results of using two different nonlinear functions and new coefficients in the learning rule. In this paper we show how we can use the distribution...
متن کاملBlind signal separation: statistical principles
Blind signal separation (BSS) and independent component analysis (ICA) are emerging techniques of array processing and data analysis, aiming at recovering unobserved signals or ‘sources’ from observed mixtures (typically, the output of an array of sensors), exploiting only the assumption of mutual independence between the signals. The weakness of the assumptions makes it a powerful approach but...
متن کاملBlind Signal Separation: Statistical Principles
| Blind signal separation (BSS) and independent component analysis (ICA) are emerging techniques of array processing and data analysis, aiming at recovering unobserved signals or`sources' from observed mixtures (typically, the output of an array of sensors), exploiting only the assumption of mutual independence between the signals. The weakness of the assumptions makes it a powerful approach bu...
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ژورنال
عنوان ژورنال: Journal of Japan Society for Fuzzy Theory and Systems
سال: 1998
ISSN: 0915-647X,2432-9932
DOI: 10.3156/jfuzzy.10.3_394