Abstract
In this work, the denominator coefficients of a lowpass filter transfer function are optimized with evolutionary algorithms in order to obtain minimum approximation error and to reduce the distortion over the passband and stopband separately. For each design case, three different orders of transfer function are optimized. Simulation results show that evolutionary algorithms used in this work results in a short computation time with less approximation error than the conventional methods. Passive and active circuit realizations of filter transfer functions obtained with the most efficient EA method are also provided in order to show the feasibility of the proposed approach for circuit implementation.
Keywords
Transfer function
Stopband
Passband
Filter (signal processing)
Algorithm
Approximation error
Computer science
Distortion (music)
Computation
Approximation theory
Low-pass filter
Evolutionary computation
Function approximation
Approximation algorithm
Evolutionary algorithm
Filter design
Digital filter
Mathematics
Mathematical optimization
Band-pass filter
Electronic engineering
Engineering
Artificial intelligence
Artificial neural network
Bandwidth (computing)
Telecommunications
Mathematical analysis
Subject Areas
Evolutionary Algorithms and Applications
·Artificial Intelligence ·Physical Sciences
Analog and Mixed-Signal Circuit Design
·Biomedical Engineering ·Physical Sciences
Metaheuristic Optimization Algorithms Research
·Artificial Intelligence ·Physical Sciences
Citations by Year
2018: 1
2019: 1
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