Konferenční příspěvek

Tichavský P., Yeredor A., Koldovský Z.

Proceedings of 34th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

IEEE

Taipei

2009

978-1-4244-2354-5

Ing. Petr Tichavský, CSc. (ÚTIA - Oddělení stochastické informatiky)

Approximate joint diagonalization, blind source separation,,

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 Cramer 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.