Abstract
AbstractThe Paper presents a simple computer-aided design approach for designing Finite Impulse Response (FIR) digital filters. FIR filter is essentially a digital filter with non Recursive responses. Since the error surface of digital FIR filters is generally nonlinear and multimodal, global optimization techniques are required in order to avoid local minima. There are many ways for the design of FIR Digital filters. This Paper Presents soft computing technique for the design of FIR filters. In this Paper, Genetic Algorithm (GA) base evolutionary method is proposed for design of FIR digital filter. GA is a well-known powerful global optimization algorithm introduced in combinatorial optimizations problems. The Simulation result for the employed example is presented in this paper and can be efficiently used for FIR digital filter design.KeywordsDigital FilterFinite-Impulse response (FIR)Genetic Algorithm (GA)Optimization
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
