Design of Optimum Linear Phase Low Pass Fir Filter Using Hybrid Pso and Gsa Evolutionary Algorithm
نویسندگان
چکیده
The digital filters play an important role in the field of science and technology. Due to phase linearity and stability digital FIR filters are used in number of applications. The various design technology are developed for the designing of the digital filters using evolutionary techniques like particle swarm optimization(PSO), genetic algorithm(GA), differential evolution(DE) etc. and the modified version of these. In this paper design of digital Low pass FIR filter is presented using hybrid PSO and gravitational search algorithm (GSA) algorithm. PSOGSA uses the capability of exploration and exploitation of GSA and PSO respectively. In this paper the desired filter specification are tried to achieve with this algorithm and the simulation results have been compared with GA and MPSO algorithms. The simulation results reveal that the proposed design method for FIR low pass filter using PSOGSA is better than the GA and MPSO in terms of optimization of filter coefficients as well as convergence rate
منابع مشابه
Design of Optimum Digital FIR Low Pass Filter Using Hybrid of GA & PSO Optimization
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