Referenced Items are not available for this document.
A novel method is presented for optimal model order selection for autoregressive (AR) bispectrum estimation. The method depends solely on the data and requires no a priori information about the process. The method selects the model order that maximizes the cross correlation between the direct (fast Fourier transform-based) bispectrum estimate and the autoregressive bispectrum estimate. Simulation results are reviewed which demonstrate the method's performance for the case of quadratically coupled sinusoids embedded in white Gaussian noise
Published in:
Signal Processing, IEEE Transactions on
(Volume:39
,
Issue:
6
)
Date of Publication: Jun 1991
- Page(s):
- 1440 - 1442
- ISSN :
- 1053-587X
- INSPEC Accession Number:
- 3983893
- Digital Object Identifier :
- 10.1109/78.136555
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Jun 1991
- Sponsored by :
- IEEE Signal Processing Society
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