Title :
Predictive transform modeling
Author_Institution :
Dept. Appl. Sci., City Univ. of New York, NY, USA
Abstract :
It is observed that in minimum MSE (mean square error) linear predictive transform (LPT) coding, a multivariable signal model of the Kalman type inherently arises. This is illustrated with a digital monochrome image example. It is proposed that the Kalman filter could make effective use of this signal model. It then follows that minimum MSE LPT modeling simultaneously addresses relevant coding and filtering problems
Keywords :
Kalman filters; encoding; filtering and prediction theory; information theory; Kalman filter; Kalman type; LPT modeling; digital monochrome image example; encoding; linear predictive transform modelling; mean square error; minimum MSE; multivariable signal model; Data compression; Digital signal processing; Filtering; Kalman filters; Linear predictive coding; Maximum likelihood detection; Nonlinear filters; Predictive models; Signal processing; Wiener filter;
Conference_Titel :
Aerospace and Electronics Conference, 1988. NAECON 1988., Proceedings of the IEEE 1988 National
Conference_Location :
Dayton, OH
DOI :
10.1109/NAECON.1988.194991
