How Does The Band Pass Digital Filter Design Using Kaiser Window

1594 WordsJul 24, 20177 Pages
5.6 Band Pass FIR Digital Filter Design using kaiser Window The band pass FIR digital filter has been analysed with hanning window by using FDA tool in the MATLAB. The cut off frequency has been estimated by using nn tool. 5.6.1 Training using Feed Forward Back Propagation (FFBP) artificial Neural Network Algorithm for kaiser Window Figure 5.11: trained network for kaiser window with FFBP Figure 5.12: performance plot for kaiser window with FFBP In above figure 5.12, it shows the performance plot of a FFBP neural network. This plot is result of MLP training algorithm. Here after 7 epochs the mean square error is almost 0. That means the network is trained. Figure 5.13: regression plot for kaiser window with FFBP Here figure 5.13…show more content…
Figure 5.16 shows an error graph between hamming window output obtained from the FDA tool of MATLAB and feed forward back propagation algorithm output obtained from nn tool of MATLAB. Figure 5.16: Error graph between desired cut-off frequencies and obtained cut-off frequencies for hamming window with FFBP Figure 5.17 shows an error graph between hamming window output obtained from the

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