Proceedings ArticleDOI
An Adaptive Inertia Weight Particle Swarm Optimization Algorithm for IIR Digital Filter
Xia Yu,Jian-chang Liu,Hongru Li +2 more
- Vol. 1, pp 114-118
TLDR
The novel algorithm was well used in designing adaptive IIR digital filter about unknown system identification, and simulation results shown that the filter had more enhanced performance characteristics using the AIW-PSO algorithm and the complexity in calculation were improved greatly.Abstract:
An adaptive inertia weight particle swarm optimization (AIW-PSO) algorithm was presented for designing IIR digital filter. In this algorithm, modified Versoria function was employed in the new relation of adaptive inertia weight factor function instead of Sigmoid function for avoiding the exponential computation and ensuring the small final misadjustment. Furthermore, the novel algorithm was well used in designing adaptive IIR digital filter about unknown system identification, and simulation results shown that the filter had more enhanced performance characteristics using the AIW-PSO algorithm and the complexity in calculation were improved greatly.read more
Citations
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Journal ArticleDOI
MPSO: Modified particle swarm optimization and its applications
Dongping Tian,Zhongzhi Shi +1 more
TL;DR: Extensive experiments on CEC′13/15 test suites and in the task of standard image segmentation validate the effectiveness and efficiency of the MPSO algorithm proposed in this paper.
Journal ArticleDOI
Cat Swarm Optimization algorithm for optimal linear phase FIR filter design.
TL;DR: The CSO based results confirm the superiority of the proposed CSO for solving FIR filter design problems and demonstrate that the CSO is the best optimizer among other relevant techniques, not only in the convergence speed but also in the optimal performances of the designed filters.
Journal ArticleDOI
Maximum Versoria Criterion-Based Robust Adaptive Filtering Algorithm
TL;DR: A maximum Versoria criterion (MVC) algorithm is proposed, which is derived by maximizing the generalized Versoria function, to reduce steady-state misalignment and computational effort as compared to the GMCC algorithm.
Journal ArticleDOI
Craziness based Particle Swarm Optimization algorithm for FIR band stop filter design
TL;DR: An improved particle swarm optimization technique called Craziness based Particle Swarm Optimization (CRPSO) is proposed and employed for digital finite impulse response (FIR) band stop filter design.
Journal ArticleDOI
Swarm and evolutionary computing algorithms for system identification and filter design: A comprehensive review
TL;DR: An exhaustive review on the use of structured stochastic search approaches towards system identification and digital filter design is presented, which focuses on the identification of various systems using infinite impulse response adaptive filters and Hammerstein models.
References
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Book
Adaptive Filter Theory
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Book
Adaptive Signal Processing
Bernard Widrow,Samuel D. Stearns +1 more
TL;DR: This chapter discusses Adaptive Arrays and Adaptive Beamforming, as well as other Adaptive Algorithms and Structures, and discusses the Z-Transform in Adaptive Signal Processing.
Journal ArticleDOI
Improved particle swarm optimization combined with chaos
TL;DR: Simulation results and comparisons with the standard PSO and several meta-heuristics show that the CPSO can effectively enhance the searching efficiency and greatly improve the searching quality.
Journal ArticleDOI
Nonlinear parameter estimation via the genetic algorithm
Leehter Yao,William A. Sethares +1 more
TL;DR: A modified genetic algorithm is used to solve the parameter identification problem for linear and nonlinear IIR digital filters and the estimation error is shown to converge in probability to zero.