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Design of Two-Dimensional Recursive Filters by Using Quantum-Behaved Particle Swarm Optimization
Pasadena, California, USA December 18-December 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2006.842006 International Conference on Inte ...
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Wei Fang, Jun Sun, Wenbo Xu, "Design of Two-Dimensional Recursive Filters by Using Quantum-Behaved Particle Swarm Optimization," Intelligent Information Hiding and Multimedia Signal Processing, International Conference on, pp. 240-243, 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06), 2006.
 
 
BibTex
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@article{ 10.1109/IIH-MSP.2006.84,
author = {Wei Fang and Jun Sun and Wenbo Xu},
title = {Design of Two-Dimensional Recursive Filters by Using Quantum-Behaved Particle Swarm Optimization},
journal ={Intelligent Information Hiding and Multimedia Signal Processing, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2745-0},
pages = {240-243},
doi = {http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2006.84},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
TI - Design of Two-Dimensional Recursive Filters by Using Quantum-Behaved Particle Swarm Optimization
SN - 0-7695-2745-0
SP240
EP243
A1 - Wei Fang,
A1 - Jun Sun,
A1 - Wenbo Xu,
PY - 2006
KW - null
VL - 0
JA - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
ER -
 
Wei Fang, Southern Yangtze University, China
Jun Sun, Southern Yangtze University, China
Wenbo Xu, Southern Yangtze University, China
A novel algorithm, named Quantum-behaved particle swarm optimization (QPSO) proposed by us previously is introduced in the design of twodimensional (2-D) recursive digital filters. The design of the 2-D filters is reduced to a constrained minimization problem that is solved by QPSO, which is a global stochastic searching technique and be able to find out the global optima of the problem more efficiently than original particle swarm optimization (PSO). Experiment results show the superiority of the proposed method by comparing it with those of some previous designs.
Citation:
Wei Fang, Jun Sun, Wenbo Xu, "Design of Two-Dimensional Recursive Filters by Using Quantum-Behaved Particle Swarm Optimization," iih-msp, pp.240-243, 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06), 2006
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