DocumentCode
1881349
Title
The cross-bicepstrum: properties and applications for signal reconstruction and system identification
Author
Brooks, Dana H. ; Nikias, Chrysostomos L.
Author_Institution
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
fYear
1991
fDate
14-17 Apr 1991
Firstpage
3433
Abstract
Complex cepstrum techniques are applied to cross-bispectra in order to simultaneously reconstruct three independent finite-time signals, given the cross-bispectrum of the three signals only. The method is applied to simultaneously identify three systems via the cross-bispectrum of their outputs, knowing only the statistics of the input. A least-squares method is presented to estimate the cross-bicepstral parameters of the three signals simultaneously. The method is nonparametric and noniterative, assuming only that the signals (or impulse responses) are exponential, stable, and have no zeros on the unit circle. It takes full advantage of the two-dimensional nature of the bispectrum to reconstruct the three signals (or identify the three systems) simultaneously
Keywords
identification; least squares approximations; signal synthesis; spectral analysis; cross-bicepstrum; impulse responses; independent finite-time signals; input statistics; least-squares method; noniterative method; nonparametric method; signal reconstruction; system identification; Cepstrum; Concurrent computing; Digital signal processing; Gaussian noise; Power measurement; Signal processing; Signal processing algorithms; Signal reconstruction; System identification; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location
Toronto, Ont.
ISSN
1520-6149
Print_ISBN
0-7803-0003-3
Type
conf
DOI
10.1109/ICASSP.1991.150192
Filename
150192
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