FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL
(A Peer Review Journal)
e–ISSN: 2408–5162; p–ISSN: 2048–5170
keywords: DSP, FIR digital filter, Hamming window, Kaiser window, MATLAB
Digital signal processing (DSP) is all of digital filters. Finite Impulse Response (FIR) digital filter is preferred than Infinite Impulse Response (IIR) for many key advantages. In this article, FIR digital filter is designed using Hamming and Kaiser Window techniques and their performance is evaluated. The filter coefficients, frequency response (both amplitude and phase) graph and frequency and time-domain plot before and after filtering are demonstrated. The simulation result shows that the Kaiser window provides better filtering performance compared to Hamming because it can provide better minimum stop band attenuation for fixed filter length and transition width in comparison with Hamming. Thus Kaiser Window is the favourite window that can be employed for many filtering applications.
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