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
fDate :
1/1/1994 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
