Optimum Finite Impulse Response Digital Filter Design Using Computational Intelligence Based Optimization Algorithms
Flavio C. A. Teixeira, Alexandre Ricardo Soares Romariz · Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007) · 2007
In this paper we use computational intelligence numerical optimization techniques to design optimum non-linear phase finite impulse response digital filters. The filter magnitude and group delay approximation will be presented as a classical approximation problem, where a non-linear function of several variables must be minimized. Results will be presented and compared with three different numerical optimization techniques developed, including Genetic algorithms, Simulated Annealing and Particle Swarm Optimization. Additionally, results are compared with a current used design technique, an unconstrained quasi-Newton algorithm.