An adjustable window function to design an FIR filter

In this paper, a new window function is proposed, which can be used to design an FIR filter. The window is adjustable as by changing the value of a variable, the window can be adjusted accordingly. The proposed window is compared with hamming & Kaiser window. The result implies that, the proposed window has better side-lobe roll-off ratio (24.65 dB) than hamming (5.74 dB) & Kaiser (18.87 dB) window. Besides the ripple ratio of hamming & Kaiser window are −55.72 dB & −21.29 dB while the proposed window has −63.05 dB which is better than both windows. FIR filter, designed using the proposed window, has 24.78 dB side-lobe roll-off ratio, where hamming & Kaiser windows have 5.71 dB & 18.76 dB respectively.