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- W4238064086 abstract "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." @default.
- W4238064086 created "2022-05-12" @default.
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- W4238064086 date "2007-10-01" @default.
- W4238064086 modified "2023-09-30" @default.
- W4238064086 title "Optimum Finite Impulse Response Digital Filter Design Using Computational Intelligence Based Optimization Algorithms" @default.
- W4238064086 doi "https://doi.org/10.1109/isda.2007.4389679" @default.
- W4238064086 hasPublicationYear "2007" @default.
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