Bibliografie

(eng): 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.

(cze): V práci je navržen nový algoritmus pro slepou separaci signálů. Algoritmus je optimalizován pro separaci po blocích stacionárních procesů, a pokud separované procesz mají Gaussovské rozložení, je též asymptoticky eficientní. Algoritmus je testován na separaci lineární směsi řečových signálů.