Title
Efficient design of cosine-modulated filter banks using evolutionary multi-objective optimization
Abstract
We propose a novel and efficient way to design maximally decimated FIR cosine modulated filter banks, in which each analysis and synthesis filter has linear phase. We consider a class of near-perfect reconstruction CMFBs with the linear phase prototype filter, which structurally eliminates the amplitude overall distortion. The prototype filter design problem is then formulated into a multi-objective optimization problem (MOP), which aims at maximizing stop-band attenuation and minimizing reconstruction error simultaneously. We have modeled the design problem as a constrained multi-objective optimization problem which is efficiently solved by using a recently proposed algorithm MOEA/DFD. Experiment shows that the performance of MOEA/DFD exceeds that of MOEA/D and NSGA-II.
Year
DOI
Venue
2012
10.1007/978-3-642-35380-2_92
SEMCCO
Keywords
Field
DocType
linear phase prototype filter,fir cosine modulated filter,efficient design,synthesis filter,design problem,prototype filter design problem,reconstruction error,cosine-modulated filter bank,multi-objective optimization problem,linear phase,evolutionary multi-objective optimization,algorithm moea,near-perfect reconstruction cmfbs,prototype filter
Linear phase,Electronic filter topology,Mathematical optimization,Computer science,Prototype filter,Multi-objective optimization,Adaptive filter,Kernel adaptive filter,Optimization problem,Filter design
Conference
Volume
ISSN
Citations 
7677
0302-9743
1
PageRank 
References 
Authors
0.35
14
3
Name
Order
Citations
PageRank
Md Nasir11234.75
Soumyadip Sengupta221110.08
Swagatam Das36026276.66