Comparison of Different Techniques to Design of Filter

Abstract

For the design of filters complex calculations are required. Mathematically, by substituting the values of parameters according to any of the filter used in any of the methods from window method, frequency sampling method or optimal method we can get the values of filter coefficients h(n).There are different window methods like Kaiser window,rectangular window,triangular window ect.Kaiser window method has been chosen preferably because of the presence of ripple factor (β).Here, I have design Band pass FIR and low pass filter using artificial neural network which gives optimum result i.e. the difference between the actual and desired output is minimum and also shows the comparision between low pass and bandpass filter or comparison of different techniques used to design the filter.