Optimization of Symmetric Linear Phase Low Pass FIR Filter Using Genetic Algorithm
Abstrakt
In the proposed paper, optimization of symmetric linear phase low pass Finite Impulse Response (FIR) filter using Genetic Algorithm GA is a computational optimization technique; which optimizes the Mean Square Error (MSE) and filter coefficients with the help of fitness function. The optimize results are compared with two different filter designing analysis (FDA) methods viz. least square method and equiripple method. Keywords: FIR filter, least square method, equiripple method, minimum square error (MSE), genetic algorithm (GA), fitness function
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