Survey on Design of Digital FIR Filters using Optimization Models

Mohamed Saber¹ ,Mohamed E. Ghoneim ², Sunil Kumar ³

¹Electronics and Communications Engineering Department, Faculty of Engineering, Delta University for Science and Technology, Gamasa City, Mansoura, Egypt

² Department of Mathematical Sciences, Faculty of Applied Science, Umm Al-Qura University, 21955 Makkah, Saudi Arabia

³ School of Computer Science, University of Petroleum and Energy Studies, Dehradun, 248001, India

Emails: Mohamed.saber@deltauniv.edu.eg ; meghoneim@uqu.edu.sa; skumar@ddn.upes.ac

Abstract

As the discipline of Digital Signal Processing develops, digital filters play an increasingly vital role in modern technology (DSP). The FIR filter, which stands for "finite impulse response," is the most common type of filter. As a result of its versatility, FIR filters find widespread application in many fields, including image filtering, frequency modulation, precision arithmetic, and many more. For this reason, digital FIR filters are designed using various optimization techniques. Using various optimization strategies yields the best results when optimizing for different filter coefficients (concerning control parameters, dependence, premature convergence, etc.). They're advantageous due to several factors, including their straightforward implementation, low error function, high-quality searching ability, and rapid convergence. In this paper, we have covered the topic of designing efficient digital filters for signal, image, and video processing using various optimization techniques.

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