Optimal design of Cosine Modulated Filter Banks using quantum-behaved particle swarm optimization algorithm

In the paper, a new method for designing Cosine Modulated Filter Banks (CMFB) is proposed, the prototype filter is designed by optimization method. Firstly, the method appropriately relaxes the limit conditions for perfect reconstruction, the design problem of CMFB is formulated as a nonlinear and u...

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Bibliographic Details
Published in:2011 4th International Congress on Image and Signal Processing Vol. 5; pp. 2280 - 2284
Main Authors: Fangqing Tan, Tianqi Zhang, Chunxia Gao, Liechao Huang
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2011
Subjects:
Algorithm design and analysis
Cosine Modulated Filter Banks
Filter banks
Filtering algorithms
Finite impulse response filter
Image reconstruction
Nearly Perfect Reconstruction
Optimization
prototype filter
Prototypes
Quantum-behaved Particle Swarm Optimization algorithm
ISBN:1424493048, 9781424493043
Online Access:Get full text
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Summary:In the paper, a new method for designing Cosine Modulated Filter Banks (CMFB) is proposed, the prototype filter is designed by optimization method. Firstly, the method appropriately relaxes the limit conditions for perfect reconstruction, the design problem of CMFB is formulated as a nonlinear and unconstrained optimization of an objective function, which stopband cutoff frequency is fixed, passband cutoff frequency is adjusted to minimize the cost function which satisfies reconstruction condition, and directly designs the prototype filter. The simulation results illustrate the proposed method and its improvement over other methods in terms of amplitude distortion, aliasing distortion, signal to noise ratio and reconstruction performance.
ISBN:1424493048
9781424493043
DOI:10.1109/CISP.2011.6100708