TY - GEN

T1 - A fast asymptotically efficient algorithm for blind separation of a linear mixture of block-wise stationary autoregressive processes

AU - Tichavský, Petr

AU - Yeredor, Arie

AU - Koldovský, Zbyněk

PY - 2009

Y1 - 2009

N2 - We propose a novel blind source separation algorithm called Block AutoRegressive Blind Identification (BARBI). The algorithm is asymptotically efficient in separation of instantaneous linear mixtures of blockwise stationary Gaussian autoregressive processes. A novel closed-form formula is derived for a Cramér Rao lower bound on elements of the corresponding Interference-to-Signal Ratio (ISR) matrix. This theoretical ISR matrix can serve as an estimate of the separation performance on the particular data. In simulations, the algorithm is shown to be applicable in blind separation of a linear mixture of speech signals.

AB - We propose a novel blind source separation algorithm called Block AutoRegressive Blind Identification (BARBI). The algorithm is asymptotically efficient in separation of instantaneous linear mixtures of blockwise stationary Gaussian autoregressive processes. A novel closed-form formula is derived for a Cramér Rao lower bound on elements of the corresponding Interference-to-Signal Ratio (ISR) matrix. This theoretical ISR matrix can serve as an estimate of the separation performance on the particular data. In simulations, the algorithm is shown to be applicable in blind separation of a linear mixture of speech signals.

KW - Approximate joint diagonalization

KW - Autoregressive processes

KW - Blind source separation

KW - Second-order statistics

UR - http://www.scopus.com/inward/record.url?scp=70349198991&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2009.4960288

DO - 10.1109/ICASSP.2009.4960288

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AN - SCOPUS:70349198991

SN - 9781424423545

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 3133

EP - 3136

BT - 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009

Y2 - 19 April 2009 through 24 April 2009

ER -