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Swarm intelligence based techniques for digital filter design

delete2014-12-01
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Shubhendu Kumar Sarangi
S
Siba Prasada Panigrahi *
DOI:10.1016/j.asoc.2013.06.001delete
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摘要

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
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期刊

Applied Soft Computing 封面图
Applied Soft Computing
IF:
6.6
论文数:
1.4W
被引数:
4.8W

机构

I
indian institute of technology (iit) - delhi
学者数:
5.6K
论文数: 5.5K
被引数: 2
I
indian institute of technology system (iit system)
学者数:
9.5W
论文数: 9.9W
被引数: 93
引用论文

引用论文

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RETRACTED: DEPSO and PSO-QI in digital filter design (Retracted Article)
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PREAI
errSarangi, Archana; Mahapatra, Rabi Kumar; Panigrahi, Siba Prasada
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