Name
Abstract | ||
|---|---|---|
Minimax design of nonlinear-phase FIR filter has recently been addressed using adaptively weighted least-squares methods and various constrained optimization strategies. This paper presents a least-pth approach to the design problem. Features of the proposed approach include: it does not need to adapt the weighting function involved and no constrains are imposed during the course of optimization. More important, the algorithm enjoys global convergence to the minimax design regardless of the initial design used. This property is an immediate consequence of the fact that for each even power p, the weighted L-p objective function is convex in the entire parameter space. Two minimax designs of FIR filter with low passband group delay are included to illustrate the proposed method. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ISCAS.2002.1009864 | ISCAS (1) |
Keywords | Field | DocType |
weighting function,constraint optimization,fir filters,finite impulse response filter,passband,objective function,convergence,constrained optimization,design methodology,fir filter,parameter space,weight function,optimization,algorithm design and analysis,digital filters,design optimization | Passband,Minimax,Mathematical optimization,Weighting,Digital filter,Algorithm design,Control theory,Computer science,Minimax approximation algorithm,Finite impulse response,Constrained optimization | Conference |
Volume | Citations | PageRank |
1 | 6 | 0.78 |
References | Authors | |
4 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wu-Sheng Lu | 1 | 296 | 24.90 |