Underdetermined Blind Separation using modified subspace-based algorithm in the time-frequency domain

• Autorzy: Li H. , Shen Y-H. , Cao M. , Wang J-G.

Warianty tytułu

PL

Nieokreślona ślepa separacja przy wykorzystaniu algorytmu w dziedzinie czasu i częstotliwości

• Języki publikacji: EN

Abstrakty

EN

To solve the underdetermined blind separation (UBSS) problem, Aissa-El-Bey et al. have proposed the significant subspace-based algorithms in the time-frequency (TF) domain, where a fixed (maximum) value of K, i.e., the number of active sources overlapping at any TF point, is considered for simplicity. In this paper, based on the principle component analysis (PCA) technology, we propose a modified algorithm by estimating the number K for selected frequency bins where most energy is concentrated. Improved performances are obtained without increasing complexity.

PL

Do rozwiązania problem nieokreślonej ślepej separacji (UBSS) Aissa-El_Bey zaproponował algorytm czasowo-częstotliwościowy gdzie ustalono liczbę aktywnych źródeł pokrywających każdy punkt TF. W artykule zaproponowano zmodyfikowany algorytm bazujący na analizie składowej głównej PCA. Otrzymano poprawę parametrów bez powiększania skomplikowania metody.

Słowa kluczowe

EN

underdetermined blind separation; sparsity; time-frequency subspace projection; principle component analysis; electrical technology

PL

ślepa separacja; analiza składowych głównych (PCA); elektrotechnika

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2011
• Tom: R. 87, nr 7
• Strony: 280--283
• Opis fizyczny: Bibliogr. 16 poz., rys., tab., wykr.

Twórcy

autor

Li H.

autor

Shen Y-H.

autor

Cao M.

autor

Wang J-G.

• Institute of Communications Engineering, PLA University of Science and Technology,

Bibliografia

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