Title | ||
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Efficient design of cosine-modulated filter banks using evolutionary multi-objective optimization |
Abstract | ||
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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 Nasir | 1 | 123 | 4.75 |
Soumyadip Sengupta | 2 | 211 | 10.08 |
Swagatam Das | 3 | 6026 | 276.66 |