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Design of two-channel quadrature mirror filter bank using particle swarm optimization
- Source :
- Digital Signal Processing. 20:304-313
- Publication Year :
- 2010
- Publisher :
- Elsevier BV, 2010.
-
Abstract
- In this paper, a particle swarm optimization (PSO) is used to design the quadrature mirror filter (QMF) banks with linear phase in frequency domain. A unique PSO is developed to optimize filter bank coefficients to match the ideal system response. The three main attributes used in assessing the performance of filter are reconstruction error, mean square error in pass band and mean square error in stop band. The proposed PSO based method produces almost the same result as that of the existing methods. As compared to the existing methods this method is very simple to implement for the QMF bank optimization. To implement the proposed PSO algorithm, a Matlab program is developed and three examples have been presented to illustrate the performance of the proposed method.
- Subjects :
- Mean squared error
Applied Mathematics
Computer Science::Neural and Evolutionary Computation
MathematicsofComputing_NUMERICALANALYSIS
Particle swarm optimization
Quadrature filter
Filter bank
Quadrature mirror filter
Computational Theory and Mathematics
Artificial Intelligence
Control theory
Filter (video)
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Statistics, Probability and Uncertainty
Linear phase
Root-raised-cosine filter
Mathematics
Subjects
Details
- ISSN :
- 10512004
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Digital Signal Processing
- Accession number :
- edsair.doi...........a154966ec8551b86e38b327ffa60e267