Blind separation of convolutive mixtures of cyclostationary signals

Blind separation of convolutive mixtures of cyclostationary sources using an extended natural gradient method

An on-line adaptive blind source separation algorithm for the separation of convolutive mixtures of cyclostationary source signals is proposed. The algorithm is derived by a p plying natural gradient iterative learning to the novel cost function which is delined according to the wide sense cyclostationarity of signals. The efficiency of the algorithm is supported by simulations, which show that...

Séparation aveugle de mélanges convolutifs de sources cyclostationnaires. (Blind source separation of convolutive mixtures of cyclostationary signals)

Separation of Convolutive Mixtures of Cyclostationary Sources by Reference Contrasts

This paper introduces new source separation techniques exploiting the cyclostationarity property of the source signals. Two cyclostationary-based reference contrast functions are presented for convolutive mixtures and cyclostationary signals. Contrary to the major contrasts, any para-unitarity constraint is made on the mixing system. Their maximization enjoys identifiability properties, and aim...

Research on Blind Source Separation for Machine Vibrations

Blind source separation is a signal processing method based on independent component analysis, its aim is to separate the source signals from a set of observations (output of sensors) by assuming the source signals independently. This paper reviews the general concept of BSS firstly; especially the theory for convolutive mixtures, the model of convolutive mixture and two deconvolution structure...

Blind Source Separation of Convolutive Mixtures of Speech in Frequency Domain

This paper overviews a total solution for frequencydomain blind source separation (BSS) of convolutive mixtures of audio signals, especially speech. Frequency-domain BSS performs independent component analysis (ICA) in each frequency bin, and this is more efficient than time-domain BSS. We describe a sophisticated total solution for frequency-domain BSS, including permutation, scaling, circular...