DocumentCode
787049
Title
On the asymptotic performance of hierarchical transforms
Author
De Queiroz, Ricardo L. ; Malvar, Henrique S.
Author_Institution
Dept. of Electr. Eng., Brasilia Univ., Brazil
Volume
40
Issue
10
fYear
1992
fDate
10/1/1992 12:00:00 AM
Firstpage
2620
Lastpage
2622
Abstract
Explicit formulas are derived for the coding gain of hierarchical transforms for a given number of stages, and the asymptotic gain as this number goes to infinity. The intuitive result that hierarchical transforms are not asymptotically optimal, that is, their coding gains do not approach the inverse of the spectral flatness measure as the number of stages goes to infinity, is confirmed. Examples comparing the limits for hierarchical transforms and M -band parallel systems (filter banks) for AR(1) signals are presented
Keywords
filtering and prediction theory; image coding; AR signals; asymptotic gain; asymptotic performance; coding gain; filter banks; hierarchical transforms; image coding; spectral flatness measure; Compaction; Filter bank; Frequency; Gain measurement; H infinity control; Hierarchical systems; Image coding; Image resolution; Signal processing; Signal resolution;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.157308
Filename
157308
Link To Document