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Testing Stability of Digital Filters Using Optimization Methods with Phase Analysis

Damian Trofimowicz, Tomasz P. Stefański
2021 Energies  
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

Ranjit Singh Chauhan, Sandeep Kumar Arya
2013 International Journal of Swarm Intelligence  
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

Rasi E.
2021 Revista GEINTEC  
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)  
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

Gandhimathi Amirthalingam, G. Radhamani
2016 Journal of King Saud University: Computer and Information Sciences  
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

Zhi-Hui Zhan, Jun Zhang, Yun Li, H.S.-H. Chung
2009 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
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)  
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

Yuansheng Huang, Ying Qiao
2017 Advances in Modelling and Analysis C  
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)  
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

Rashmi Sinha, Arvind Choubey
2016 Indian Journal of Science and Technology  
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

Seyed Sebtahmadi, Hanieh Borhan Azad, Didarul Islam, Mehdi Seyedmahmoudian, Ben Horan, Saad Mekhilef
2016 Energies  
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

Omar Avalos, Erik Cuevas, Jorge Gálvez, Essam H. Houssein, Kashif Hussain
2020 Mathematics  
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

Rabab M. Ramadan, Elaraby A. Elgallad
2019 Zenodo  
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

Rongbo Zhu, Lu Liu, Ashq Anjum, Maode Ma, Shiwen Mao
2021 IEEE Access  
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

Qummar Zaman, Senan Alraho, Andreas König
2021 Journal of Sensors and Sensor Systems  
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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