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

Blind separation of convolutive mixtures of cyclostationary signals

An adaptive blind source separation algorithm for the separation of convolutive mixtures of cyclostationary signals is proposed. The algorithm is derived by applying natural gradient iterative learning to a novel cost function which is defined according to the wide sense cyclostationarity of signals and can be deemed as a new member of the family of natural gradient algorithms for convolutive m...

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

Beamforming Initialization and Data Prewhitening in Natural Gradient Convolutive Blind Source Separation of Speech Mixtures

Successful speech enhancement by convolutive blind source separation (BSS) techniques requires careful design of all aspects of the chosen separation method. The conventional strategy for system initialization in both timeand frequency-domain BSS involves a diagonal center-spike FIR filter matrix and no data preprocessing; however, this strategy may not be the best for any chosen separation alg...

A Natural Gradient Convolutive Blind Source Separation Algorithm for Speech Mixtures

In this paper, a novel algorithm for separating mixtures of multiple speech signals measured by multiple microphones in a room environment is proposed. The algorithm is a modification of an existing approach for density-based multichannel blind deconvolution using natural gradient adaptation. It employs linear predictors within the coefficient updates and produces separated speech signals whose...

Blind Separation of Linear Convolutive Mixtures Using Orthogonal Filter Banks

We propose an algorithm and architecture for real-time blind source separation of linear convolutive mixtures using orthogonal filter banks. The adaptive algorithm derives from stochastic gradient descent optimization of a performance metric that quantifies independence not only across the reconstructed sources, but also across time within each source. The special case of a Laguerre section off...