Абстрактный

Design A Bartlett Window Based Digital Filter by Using GRNN

Ajeet Maheshwari, Karuna Markam

In this paper, we have designed the digital filter based on Bartlett window function using ANN. Firstly we have designed the 10th order digital filter based on Bartlett window function then calculate the coefficient of designed filter. We have normalized the frequency and designed filter at frequency ranges 0.05 to 1 Hz. Then we calculated the coefficients of filter at different frequencies. Some data group of coefficients is used to train the neural network designed using generalized regression algorithm and rest are used as test input to neural network. The output corresponding to test input is approximate equal to frequency corresponding to calculated coefficients using FDA tool. The optimization of the neural model has been done using generalized regression algorithm. Here radial basis function is used for the training of the neural network