Design and Performance Analysis of Low Pass Fir Filter Using Hamming and Kaiser Windows

Digital Signal Processing is used in many areas where analogue method was difficult. Filters are used to separate or combine different frequencies. In this paper low pass filter has been designed and simulated using different windows techniques. Hamming and Kaiser Windows techniques are used along with Rectangular window technique for the design analysis by using matlabs. The performances of all the designs have been compared in terms of sidelobe attenuation and mainlobe width. The simulated result shows that the Kaiser window has near optimum performance and having the simplest implementation. The result also shows that increasing the Kaiser Window parameter Beta widens the mainlobe and decreases the amplitude of sidelobes