Title
Formal development and convergence analysis of the parallel adaptive mixed transform algorithm
Abstract
Mixed transform techniques represent signals using combinations of basis functions, chosen from two or more transform domains simultaneously, to achieve higher energy compaction than can be achieved using a single transform. The parallel adaptive mixed transform (PAMT) technique has been shown to produce excellent energy compaction and greatly reduced computational burden compared with previous adaptive mixed transform techniques. In this paper, the PAMT algorithm is formally developed and its convergence properties examined. It is shown that convergence of the algorithm can be guaranteed independent of the transforms chosen, as long as those transforms are orthonormal in their own domains.
Publication Date
1-1-1997
Publication Title
Proceedings - IEEE International Symposium on Circuits and Systems
Volume
4
Number of Pages
2280-2283
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0030703851 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0030703851
STARS Citation
Berg, Albert P. and Mikhael, Wasfy B., "Formal development and convergence analysis of the parallel adaptive mixed transform algorithm" (1997). Scopus Export 1990s. 2883.
https://stars.library.ucf.edu/scopus1990/2883