Multichannel blind signal separation and reconstruction

Author

Shamsunder, Sanyogita ; Giannakis, Georgios B.

Author_Institution

Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA

Volume

5

Issue

6

fYear

1997

fDate

11/1/1997 12:00:00 AM

Firstpage

515

Lastpage

528

Abstract

The separation of multiple signals from their superposition recorded at several sensors is addressed. The methods employ polyspectra of the sensor data in order to extract the unknown signals and estimate the finite impulse response (FIR) coupling systems via a linear equation based algorithm. The procedure is useful for multichannel blind deconvolution of colored input signals with (possibly) overlapping spectra. An extension of the main algorithm, which can be applied for quasiperiodic signal separation, is also given. Simulation results corroborate the applicability of the algorithm

Keywords

deconvolution; parameter estimation; signal reconstruction; spectral analysis; speech processing; telecommunication channels; transient response; FIR coupling systems; colored input signals; finite impulse response; linear equation based algorithm; multichannel blind deconvolution; multichannel blind signal reconstruction; multichannel blind signal separation; overlapping spectra; polyspectra; quasiperiodic signal separation; sensor data; signal extraction; simulation results; speech processing; superposition; Autoregressive processes; Blind source separation; Data mining; Equations; Finite impulse response filter; Microphones; Sensor systems; Signal processing; Signal processing algorithms; Source separation;

fLanguage

English

Journal_Title

Speech and Audio Processing, IEEE Transactions on

Publisher

ieee

ISSN

1063-6676

Type

jour

DOI

10.1109/89.641297

Filename

641297