DocumentCode :
1016575
Title :
On the estimation of bispectral density function in the case of randomly missing observations
Author :
Gabr, M.M. ; Rao, T. Subba
Author_Institution :
Alexandria Univ., Egypt
Volume :
42
Issue :
1
fYear :
1994
fDate :
1/1/1994 12:00:00 AM
Firstpage :
211
Lastpage :
216
Abstract :
The estimation of the bispectral density function of a stationary stochastic process when some observations are missing according to a point binomial distribution is considered in the paper. The existence of the bispectrum, and its estimation are considered. The methods are illustrated with simulated examples
Keywords :
parameter estimation; probability; signal processing; spectral analysis; stochastic processes; bispectral density function estimation; bispectrum; point binomial distribution; randomly missing observations; stationary stochastic process; Computer aided software engineering; Density functional theory; Filters; Gaussian noise; Laplace equations; Noise measurement; Parameter estimation; Signal processing; Signal to noise ratio; Stochastic processes;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.258142
Filename :
258142
Link To Document :
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