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Swarm intelligence based techniques for digital filter design
DOI:10.1016/j.asoc.2013.06.001.png)
摘要
En 中文
This paper deals with the problem of digital IIR filter design. Two novel modifications are proposed to Particle Swarm Optimization and validated through novel application for design of IIR filter. First modification is based on quantum mechanics and proved to yield a better performance. The second modification is to take care of time dependency character of the constriction factor. Extensive simulation results validate the superior performance of proposed algorithms. (C) 2013 Elsevier B.V. All rights reserved.
Keyword:
Digital filter design
Particle Swarm Optimization
IIR filter
AI总结
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期刊
IF:
6.6
论文数:
1.4W
被引数:
4.8W
机构
引用论文
Design of multiplier-less nonuniform filter bank transmultiplexer using genetic algorithm
SIGNAL PROCESSING
IF3.6
Design of two-dimensional IIR digital structure-specified filters by using an improved genetic algorithm基于改进遗传算法的二维IIR数字结构滤波器设计

