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Filters
Testing Stability of Digital Filters Using Optimization Methods with Phase Analysis
2021
Energies
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particle swarm optimization with phase analysis (MPSO-WPA). ...
The methods are based on phase analysis of a complex function in the characteristic equation of a digital filter. ...
Flowchart of stability test with the multimodal particle swarm optimization with phase analysis (MPSO-WPA) algorithm. ...
doi:10.3390/en14051488
fatcat:5h7xtse6tvgczh6q3pvfhu2sm4
An application of swarm intelligence for the design of IIR digital filters
2013
International Journal of Swarm Intelligence
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The particle swarm optimisation algorithm is then applied for calculating optimal coefficients of IIR digital filters and comparison is done preferably with filter design tool and other heuristic techniques ...
IIR filters are the part of digital filters with recursive responses. ...
described the salient features of using a SA algorithm in the context of designing digital filters with linear phase digital filter. The algorithm is then applied to the design of FIR filter. ...
doi:10.1504/ijsi.2013.055799
fatcat:jtwr3jtvjvazfpbatplvggz4hq
Design of Efficient Low Pass Infinite Impulse Response Filter Using Dynamic Regional Harmony Search Algorithm with Opposition and Local Learning and Comparison with Harmony Search Algorithm
2021
Revista GEINTEC
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Aim: The study aims to design an optimal digital IIR filter for the minimization of ripples in the frequency response of Low pass IIR filter Methods & Materials: Dynamic Regional Harmony Search Algorithm ...
with opposition & local learning DRHS-OLL method is used for the optimal design of efficient infinite impulse response [IIR] due to presence of the premature convergence in Harmony Search algorithm. ...
Funding: We thank the following organizations for providing financial support that enabled us to complete the study. ...
doi:10.47059/revistageintec.v11i4.2187
fatcat:5ozkkwrxvvcaje5ejmomh77dgy
Author Index
2020
2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
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Using Nonlinear Model
Predictive Control
Fitriati, Andi
2C.4
418 The Single Tuned Filter Planning to Mitigate
Harmonic Pollution in Radial Distribution Network
Using Particle Swarm Optimization ...
Zone Routing Protocol On Vehicular Ad-Hoc Network in Urban Environment The Single Tuned Filter Planning to Mitigate Harmonic Pollution in Radial Distribution Network Using Particle Swarm Optimization ...
doi:10.1109/isriti51436.2020.9315357
fatcat:ydauinv74jgdxbe3gpdfhebv3i
New chaff point based fuzzy vault for multimodal biometric cryptosystem using particle swarm optimization
2016
Journal of King Saud University: Computer and Information Sciences
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The optimal locations are found out by using particle swarm optimization (PSO) algorithm. ...
With the help of the locations of the extracted feature vector points, x and y co-ordinate chaff matrixes are generated. ...
At the registration phase, fuzzy vault encoding was executed by means of both key and transformed template. Along with that, the fuzzy vault was encrypted using digital signature. ...
doi:10.1016/j.jksuci.2014.12.011
fatcat:wfbnygfagjcvth737arzixjx2i
Adaptive Particle Swarm Optimization
2009
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
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Index Terms-Adaptive particle swarm optimization (APSO), evolutionary computation, global optimization, particle swarm optimization (PSO). ...
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. ...
Otherwise, the new position is used to replace the particle with the worst fitness in the swarm.
D. ...
doi:10.1109/tsmcb.2009.2015956
pmid:19362911
fatcat:klpronetefelnoskuroxsrxifi
Paper Titles
2020
2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
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Particle Filter Based Speed Estimator for Speed Sensorless Control in Induction Motor Performance Analysis FSR and DSR Routing Protocol in VANET with V2V and V2I Models Performance Analysis of Temporally ...
Planning to Mitigate Harmonic Pollution in Radial Distribution Network Using Particle Swarm Optimization The Use of Pre and Post Processing to Enhance Mandible Segmentation using Active Contours on Dental ...
doi:10.1109/isriti51436.2020.9315349
fatcat:7lctjs3x45apfgec42ra4u7l2e
Artificial Raindrop Algorithm for Optimal Parameter Preference in Digital IIR Filters
2017
Advances in Modelling and Analysis C
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design of digital IIR filter. ...
However, the error surface of digital IIR filter is usually nonlinear and multimodal, which makes the cost function rather difficult to minimize. ...
Acknowledgments This work is partly supported by the National Natural Science Foundation of China under Project Code (61561001), Beifang University of Nationalities under Project Code (21500880). ...
doi:10.18280/ama_c.720202
fatcat:ture6bakk5ctvjqggn2v3nx2ju
Table of Contents
2021
2021 International Seminar on Intelligent Technology and Its Applications (ISITIA)
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Effort Estimation With Particle
Swarm Optimization
197
Optimized DOCR Setting by Considering Generator Scheme and Different
Configuration on Ring System
202
Dataset transformation using hybrid ...
Speed Wind Turbine Into Load Flow Analysis
63
Analysis of EEG-Based Stroke Severity Groups Clustering Using K-Means
67
Web Caching Strategy Optimization Based on Ant Colony Optimization and
Genetic ...
doi:10.1109/isitia52817.2021.9502204
fatcat:bqfdmf74urfy7lc4jd66ydqjcq
Design of a Discrete Adaptive Equalizer for Noisy Channel using Quantum Behaved Particle Swarm Optimization Technique
2016
Indian Journal of Science and Technology
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Objectives: In this paper, we propose to develop a discrete adaptive equalizer based on Quantum behaved Particle Swarm Optimization (QPSO) technique for noisy channel. ...
Methods/Statistical Analysis: Equalizers have to deal with harder and more complicated problems today due to crowded communication channels and increasing interference level. ...
modelled on Finite Impulse Response (FIR) filter due to its linear phase characteristics and the equalization process is carried out using suitable adaptive optimization techniques. ...
doi:10.17485/ijst/2016/v9i41/100804
fatcat:4i3xtudm4zh5fgh6uszs3l3ivm
A Current Control Approach for an Abnormal Grid Supplied Ultra Sparse Z-Source Matrix Converter with a Particle Swarm Optimization Proportional-Integral Induction Motor Drive Controller
2016
Energies
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References [20, 21] studied optimization of switching state, using Crazy-particle swarm optimization and real-time PSOIOC in order to predict the next switching state in, and the output can help control ...
Saad 2016, A current control approach for an abnormal grid supplied ultra sparse Z-Source matrix converter with a particle swarm optimization proportional-integral induction motor drive controller, Abstract ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/en9110899
fatcat:ae6oxnvaizb3lkvxt2ylbm7p3y
Comparison of Circular Symmetric Low-Pass Digital IIR Filter Design Using Evolutionary Computation Techniques
2020
Mathematics
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This paper presents a comparative study of various EC techniques currently in use employed for designing 2D-IIR digital filters. ...
However, since 2D-IIR filters can easily produce unstable transfer functions, they tend to compose multimodal error surfaces, which are computationally difficult to optimize. ...
In this paper, the zero-phase IIR filter design is considered. A zero-phase filter is a particular example of linear phase filters where the phase slope is zero. ...
doi:10.3390/math8081226
fatcat:ispkz7yxibggzhzkrmonzann6i
Implementation of a Multimodal Biometrics Recognition System with Combined Palm Print and Iris Features
2019
Zenodo
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Particle swarm optimization (PSO) is used as a feature selection technique to reduce the dimensionality of the feature. ...
The iris is a strong competitor together with face and fingerprints for presence in multimodal recognition systems. ...
of the finest particle between all particles in the swarm. ...
doi:10.5281/zenodo.2571835
fatcat:dlfosdzcuzfpbmygvgbqivh32a
Ieee Access Special Section Editorial: Human-Driven Edge Computing
2021
IEEE Access
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for mobile sink in wireless sensor networks using particle swarm optimization. ...
for cognitive wireless sensor networks (CWSNs) based on particle swarm optimization is proposed. ...
doi:10.1109/access.2021.3092476
fatcat:wirzxkbrkfg7jmsk2vl67a7gnu
Efficient transient testing procedure using a novel experience replay particle swarm optimizer for THD-based robust design and optimization of self-X sensory electronics in industry 4.0
2021
Journal of Sensors and Sensor Systems
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For the later test, we proposed an efficient optimization procedure by using total harmonic distortion analyses of CFIA output to reduce the total number of measurements and save considerable optimization ...
Due to complexity in the search and objective space of the smart sensory electronics, a novel experience replay particle swarm optimization (ERPSO) algorithm is being proposed and proved a better-searching ...
As it is mentioned in the literature review, the modified particle swarm optimizer is being used as an optimizing algorithm. The test stimuli selection unit consists of sinusoidal and step signals. ...
doi:10.5194/jsss-10-193-2021
fatcat:wsq4aethpvdencb5vaxjie7ag4
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