DocumentCode :
3096565
Title :
AR model order selection based on bispectral cross-correlation
Author :
Noonan, J. ; Premus, V. ; Irza, J.
Author_Institution :
Dept. of Electr. Eng., Tufts Univ., Medford, MA, USA
fYear :
1990
fDate :
10-12 Oct. 1990
Firstpage :
232
Lastpage :
236
Abstract :
A new method is presented for optimal model order selection for autoregressive bispectrum estimation. Simulation results are reviewed which demonstrate the method´s performance for the case of quadratically coupled sinusoids embedded in white Gaussian noise.<>
Keywords :
correlation theory; optimisation; parameter estimation; spectral analysis; white noise; AR model order selection; autoregressive bispectrum estimation; bispectral cross-correlation; optimal model order selection; quadratically coupled sinusoids; white Gaussian noise; Autocorrelation; Frequency estimation; Gaussian noise; Noise figure; Optimization methods; Power engineering and energy; Power measurement; Signal to noise ratio; Spectral analysis; TV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
Type :
conf
DOI :
10.1109/SPECT.1990.205581
Filename :
205581
Link To Document :
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