Review and analysis on digital filter design in digital signal processing

This paper provides an extensive examination of recent advancements in designing finite impulse response (FIR) filters and infinite impulse response (IIR) filters, and techniques used in the designing of the digital filter as applied to digital signal processing. It concentrates on three primary categories of FIR filter design techniques: frequency sampling approaches, window-based strategies, and Fourier series methods. The paper evaluates the effectiveness of various FIR and IIR design methodologies, offering insights into the application of nature-inspired optimization algorithms of the designing of digital filters. Additionally, the paper also discusses the neural network techniques used for linear phase FIR filter designs, found to have better performance compared to conventional design methods. The paper also highlights the critical importance of methodical selection when it comes to implementation methodologies and design specifications to achieve efficient circuit implementation.