DocumentCode :
2666143
Title :
Predictive transform estimation vs. hybrid estimation
Author :
Guerci, Joseph R. ; Feria, Erlan H.
Author_Institution :
Grumman Aerospace Corp., Bethpage, NY, USA
fYear :
1990
fDate :
21-25 May 1990
Firstpage :
102
Abstract :
A comparative analysis of the implementation reduction mechanisms present in a predictive transform (PT) estimation scheme and in a conventional time-frequency or hybrid estimation approach inspired by hybrid coding is performed. This comparative study focuses on the estimation dual of the hybrid versus predictive transform coding problem, and thus serves to further illustrate the ability of the PT approach to unify seemingly disjoint areas of signal processing. A Kalman-type estimation example, based on a previously considered NTSC image reconstruction problem, is used to illustrate the above ideas. The PT approach is shown to provide a more natural data compression mechanism than the hybrid approach for reducing implementation complexity, while yielding satisfactory performance
Keywords :
Kalman filters; data compression; encoding; estimation theory; filtering and prediction theory; picture processing; signal processing; Kalman estimation; NTSC image reconstruction; comparative analysis; data compression; hybrid estimation; predictive transform estimation; signal processing; time frequency estimation; Data compression; Decoding; Image reconstruction; Kalman filters; Performance analysis; Predictive models; Signal processing; Time frequency analysis; Transform coding; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference, 1990. NAECON 1990., Proceedings of the IEEE 1990 National
Conference_Location :
Dayton, OH
Type :
conf
DOI :
10.1109/NAECON.1990.112749
Filename :
112749
Link To Document :
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