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Bibliografie

Conference Paper (international conference)

Methods of Fair Comparsion of Performance of Linear ICA Techniques in Presence of Additive Noise

Koldovský Zbyněk, Tichavský Petr

: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, p. 873-876

: IEEE International Conference on Acoustics, Speech and Signal Processing, (Toulouse, FR, 14.05.2006-19.05.2006)

: CEZ:AV0Z10750506

: 1M0572, GA MŠk, GA102/05/0278, GA ČR

: independent component analysis, blind source separation

(eng): In this paper, a number of important differences is discussed tht exist between independent component analysis with and without presence of an additive noise. It is shown that estimation of the mixing/demiging matrix should not be the main goal in the noisy case. Instead, usage of the signal-to-intarference ples noise criterion is suggested. Second, it is proposed to normalize norms of rows of the demixing matrix in the Monte Carlo experiments.

(cze): V tomto clanku je diskutovana rade existujicich rozdilu mezi slepou separaci linearni smesi signal bez pritomnosti a za pritomnosti aditivniho sumu. Je ukazano, ze odhad mixovaci nebo separujici matice by nemel byt hlavnim cilem separace, ale ze by jim melo byt dosazeny pomer uzitecneho signalu vuci interferenci a sumu. Dale je v clanku zduvodneno proc je vhodne v Monte Carlo simulacich normovat radky de-mixovaci (separacni) matice.

: 12B

: BB