The FIR window function design based on evolutionary algorithm

This paper improved the function of the FIR window based on evolutionary algorithms. This window function is different from the Han window, Hamming window and Blackmail window. Firstly it combines cosine series to window function linearly. Then it makes linear programming on conditions that digital Filter should meet according to characteristics of FIR digital filter and adjusts window function weights according to changes of the signal to improve the algorithm. Advantage of this method is that it can select a more appropriate window function according to characteristics of filter. The simulation results show that the filter designed in this method is more intelligent.