A Cascade System for Solving Permutation and Gain Problems in Frequency-Domain BSS

Authors:
Daniel Iglesia;Héctor J. Pérez-Iglesias;Adriana Dapena
Affiliations:
Departamento de Electrónica y Sistemas, Universidade da Coruña, Facultad de Informática, A Coruña, Spain 15071;Departamento de Electrónica y Sistemas, Universidade da Coruña, Facultad de Informática, A Coruña, Spain 15071;Departamento de Electrónica y Sistemas, Universidade da Coruña, Facultad de Informática, A Coruña, Spain 15071
Venue:
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Year:
2009

Citing 3
Cited 0

Jacobi Angles for Simultaneous Diagonalization

SIAM Journal on Matrix Analysis and Applications
Blind adaptive separation of wide-band sources

ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 05
General approach to blind source separation

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a novel technique for separating convolutive mixtures of statistically independent non-Gaussian signals. The time-domain convolution is transformed into several instantaneous mixtures in the frequency-domain. The separation of these mixtures is performed in two steps. First, the instantaneous mixture at the frequency of reference is solved using JADE and the other mixtures are then separated using the Mean Square Error (MSE) criterion. We also present a novel method to select the frequency of reference.