In this paper, we propose a method for designing finite impulse response (FIR) filters with canonic signed digit (CSD) coefficients using particle swarm optimization (PSO). In such a design problem, a large number of local minimums appear in an evaluation function for the optimization. An updating procedure of PSO tends to stagnate around such local minimums and thus indicates a premature convergence property. Therefore, a new framework for avoiding such a situation is proposed, in which the evaluation function is modified around the stagnation point. Several design examples are shown to present the effectiveness of the proposed method.
Kazuki SAITO
Tokyo Denki University
Kenji SUYAMA
Tokyo Denki University
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Kazuki SAITO, Kenji SUYAMA, "Design of CSD Coefficient FIR Filters Using PSO with Penalty Function" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 12, pp. 2625-2632, December 2015, doi: 10.1587/transfun.E98.A.2625.
Abstract: In this paper, we propose a method for designing finite impulse response (FIR) filters with canonic signed digit (CSD) coefficients using particle swarm optimization (PSO). In such a design problem, a large number of local minimums appear in an evaluation function for the optimization. An updating procedure of PSO tends to stagnate around such local minimums and thus indicates a premature convergence property. Therefore, a new framework for avoiding such a situation is proposed, in which the evaluation function is modified around the stagnation point. Several design examples are shown to present the effectiveness of the proposed method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.2625/_p
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@ARTICLE{e98-a_12_2625,
author={Kazuki SAITO, Kenji SUYAMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Design of CSD Coefficient FIR Filters Using PSO with Penalty Function},
year={2015},
volume={E98-A},
number={12},
pages={2625-2632},
abstract={In this paper, we propose a method for designing finite impulse response (FIR) filters with canonic signed digit (CSD) coefficients using particle swarm optimization (PSO). In such a design problem, a large number of local minimums appear in an evaluation function for the optimization. An updating procedure of PSO tends to stagnate around such local minimums and thus indicates a premature convergence property. Therefore, a new framework for avoiding such a situation is proposed, in which the evaluation function is modified around the stagnation point. Several design examples are shown to present the effectiveness of the proposed method.},
keywords={},
doi={10.1587/transfun.E98.A.2625},
ISSN={1745-1337},
month={December},}
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TY - JOUR
TI - Design of CSD Coefficient FIR Filters Using PSO with Penalty Function
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2625
EP - 2632
AU - Kazuki SAITO
AU - Kenji SUYAMA
PY - 2015
DO - 10.1587/transfun.E98.A.2625
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2015
AB - In this paper, we propose a method for designing finite impulse response (FIR) filters with canonic signed digit (CSD) coefficients using particle swarm optimization (PSO). In such a design problem, a large number of local minimums appear in an evaluation function for the optimization. An updating procedure of PSO tends to stagnate around such local minimums and thus indicates a premature convergence property. Therefore, a new framework for avoiding such a situation is proposed, in which the evaluation function is modified around the stagnation point. Several design examples are shown to present the effectiveness of the proposed method.
ER -