The field of infinite impulse response (IIR) filter design mainly focused on the proper selection of filter parameters from the numerous possible combination. This filter design …
Intelligent optimization methods effectively explore and review the response space using past experiences a population of search agents. These population-based techniques can …
SK Saha, R Kar, D Mandal… - International Journal of …, 2013 - igi-global.com
Optimal digital filter design in digital signal processing has thrown a growing influence on communication systems. FIR filter design involves multi-parameter optimization, on which …
The idea behind designing digital filters is to compute the optimal filter coefficients such that the magnitude response of the designed matches the ideal frequency response using …
T Mittal - Neural Computing and Applications, 2022 - Springer
In this manuscript, a hybrid optimization technique, which integrates moth flame optimization (MFO) technique and variable neighbourhood search (VNS) heuristic, has been proposed to …
T Mittal - Circuits, Systems, and Signal Processing, 2021 - Springer
The aim of the research work is to optimally design a finite impulse response (FIR) filter. For this purpose, an integrated optimization technique has been proposed. The proposed …
SK Saha, R Kar, D Mandal, SP Ghoshal - Memetic Computing, 2013 - Springer
In this paper, a new optimization method named gravitational search algorithm (GSA) is adopted for designing optimal linear phase finite impulse response band pass (BP) and …
A Kalinli, N Karaboga - AEU-International Journal of Electronics and …, 2005 - Elsevier
Adaptive digital filters have proven their worth in a wide range of applications such as channel equalisation, noise reduction, echo cancelling, and system identification. These …
Abstract Artificial Intelligent Optimization (AIO) algorithms learn from the past searches via using a group of individuals or agents. These Artificial Intelligence-based optimizing …