Title :
Conjointly well localized modulated lapped orthogonal transforms
Author :
Peter C. Tay;Yanjun Yan
Author_Institution :
Western Carolina University, Department of Engineering and Technology, Cullowhee, NC 28779 U.S.A.
Abstract :
This paper proposes the particle swarm optimization method to determine conjointly time-frequency well localized filters that constitute a multi-channel perfect reconstruction filterbank. The time-frequency measure to determine optimality is the product of a filter´s time and frequency variances. The optimization process involving multiple free parameters is computationally expensive. Optimization methods require long computation time that increases exponentially with the number of free parameters to achieve good results. The particle swarm optimization provides an effective and efficient method to determine optimality. We propose the use of the particle swarm optimization method to determine optimal complex modulated lapped transform filters.
Keywords :
"Time-frequency analysis","Particle swarm optimization","Transforms","Uncertainty","Cost function","Image reconstruction"
Conference_Titel :
Signals, Systems and Computers, 2015 49th Asilomar Conference on
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2015.7421330