Swarm and evolutionary computing algorithms for system identification and filter design: A comprehensive review

A Gotmare, SS Bhattacharjee, R Patidar… - Swarm and Evolutionary …, 2017 - Elsevier
An exhaustive review on the use of structured stochastic search approaches towards system
identification and digital filter design is presented in this paper. In particular, the paper …

[HTML][HTML] Enhancing IIR system identification: Harnessing the synergy of gazelle optimization and simulated annealing algorithms

S Ekinci, D Izci - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
In the field of digital filter design and system identification, accurately modeling Infinite
Impulse Response (IIR) systems is of utmost importance. This paper introduces a new …

Design of digital IIR filter: A research survey

N Agrawal, A Kumar, V Bajaj, GK Singh - Applied Acoustics, 2021 - Elsevier
This paper presents an overview on advancement made in designing of a digital infinite
impulse response (IIR) filter. The design problem of an IIR filter was found to be challenging …

[HTML][HTML] An improved artificial rabbits optimization for accurate and efficient infinite impulse response system identification

RM Rizk-Allah, S Ekinci, D Izci - Decision Analytics Journal, 2023 - Elsevier
Abstract Identifying models with Infinite Impulse Response (IIR) is crucial in signal
processing and system identification. This paper addresses the challenges of IIR model …

Adaptive infinite impulse response system identification using an enhanced golden jackal optimization

J Zhang, G Zhang, M Kong, T Zhang - The Journal of Supercomputing, 2023 - Springer
Golden jackal optimization (GJO) is inspired by the cooperative attacking behavior of golden
jackals and mainly simulates searching for prey, stalking and enclosing prey, and pouncing …

Simulated annealing aided artificial hummingbird optimizer for infinite impulse response system identification

S Ekinci, D Izci, M Yilmaz - IEEE Access, 2023 - ieeexplore.ieee.org
Infinite impulse response (IIR) systems, with their ability to model intricate system behaviors,
have proven to be a powerful class of digital filters. However, accurately identifying the …

Design and modeling of adaptive IIR filtering systems using a weighted sum-variable length particle swarm optimization

A Mohammadi, SH Zahiri, SM Razavi… - Applied Soft …, 2021 - Elsevier
The use of optimization algorithms for designing Infinite Impulse Response (IIR) filters has
been considered in many studies. The concern in this area is the multimodal error surface of …

Artificial hummingbird optimizer as a novel adaptive algorithm for identifying optimal coefficients of digital IIR filtering systems

S Ekinci, D Izci, M Kayri - International Journal of Modelling and …, 2023 - Taylor & Francis
This paper introduces the artificial hummingbird algorithm (AHA) as a novel and efficient
algorithm for designing digital infinite impulse response (IIR) filtering systems. IIR filters are …

Optimized adaptive noise canceller for denoising cardiovascular signal using SOS algorithm

S Yadav, SK Saha, R Kar, D Mandal - Biomedical Signal Processing and …, 2021 - Elsevier
Cardiovascular or electrocardiogram signals (ECG) are contaminated by various artefacts
while recording which in turn degrades the quality of the vital information present in the …

Infinite impulse response system identification using average differential evolution algorithm with local search

B Durmuş - Neural Computing and Applications, 2022 - Springer
In this article, a new metaheuristic algorithm named average differential evolution with local
search (ADE-LS) has been developed and implemented to find the optimal coefficients of …