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
Link To Document :
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