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This dissertation report discusses the optimal design of FIR filters using genetic algorithms. FIR filters are digital filters with non-recursive responses that are designed to approximate ideal filters based on given specifications. Genetic algorithms, as a global optimization technique, are used to design FIR filters to minimize transition width and maximize peak side lobe attenuation, while avoiding local minima. The dissertation presents the design of FIR filters using different genetic algorithm select

Author

RakeshPatidar

Language

EN