Meta-heuristic techniques for optimal design of analog and digital filter

Abstract

In this paper, two Meta-heuristic techniques; namely Ant Colony Optimization (ACO) and Genetic Algorithm (GA) have been applied for the optimal design of digital and analog filters. Those techniques have been used to solve multimodal optimization problem in Infinite Impulse Response (IIR) filter design and to select the optimal component values from industrial series as well as to minimize the total design error of a 2nd order Sallen-Key active band-pass filter, also a comparison between the performances reached by those two Meta-heuristics was made in this article.

Comparison of FIR and IIR Filters for Audio Signal Noise Reduction

“…Digital filters contain analog-to-digital converters (ADC) and digital-to-analog converters (DAC) so that digital filters can have input and output as analog signals. Moreover, digital filters are commonly used in digital signal processing, control systems, and communications [16][17] [18]. Digital filters can be implemented as Finite Impulse Response (FIR) filters or Infinite Impulse Response (IIR) filters [3].…”