Indeterminacy and identifiability of blind identification

Author

Tong, Lang ; Liu, Ruey-wen ; Soon, Victor C. ; Huang, Yih-Fang

Author_Institution

Dept. of Electr. Eng., Notre Dame Univ., IN, USA

Volume

38

Issue

5

fYear

1991

fDate

5/1/1991 12:00:00 AM

Firstpage

499

Lastpage

509

Abstract

Blind identification of source signals is studied from both theoretical and algorithmic aspects. A mathematical structure is formulated from which the acceptable indeterminacy is represented by an equivalence relation. The concept of identifiability is then defined. Two identifiable cases are shown along with blind identification algorithms. The performance of FOBI (fourth-order blind identification), EFOBI (extended FOBI), and AMUSE algorithms is evaluated by some heuristic arguments and simulation results. It is shown that EFOBI outperforms the FOBI algorithm, and the AMUSE algorithm performs better than EFOBI in the case of nonwhite source signals. AMUSE is applied to a speech extraction problem and shown to have promising results

Keywords

identification; indeterminancy; signal processing; speech analysis and processing; speech recognition; AMUSE algorithms; EFOBI; FOBI algorithm; blind identification; fourth order type; identifiability; indeterminacy; source signals; speech extraction; Circuit testing; Degradation; Electromyography; Semiconductor device noise; Sensor arrays; Sensor phenomena and characterization; Signal processing; Signal processing algorithms; Skin; Working environment noise;

fLanguage

English

Journal_Title

Circuits and Systems, IEEE Transactions on

Publisher

ieee

ISSN

0098-4094

Type

jour

DOI

10.1109/31.76486

Filename

76486