International Journal of Engineering and Technology

In this paper, a new class of adjustable window function, based on combination of tangent hyperbolic function and a weighted cosine series, is proposed to design an FIR filter. The proposed window is adjustable since the spectral characteristics of the window vary with the change of a simple window’s controlling parameter. The spectral characteristic of the proposed window is studied and its performance is compared with Hamming and Kaiser windows. Simulation results show that the proposed window yields better ripple and side-lobe roll-off ratios compare to the mentioned windows. Moreover, the paper represents the application of the proposed window in finite impulse response (FIR) filter design. The results confirm that the filter designed by the proposed window provides 11.5607 dB better ripple ratio than Kaiser windows. In side-lobe roll-off ratio measurement, the proposed window based FIR low-pass filter attains 95.75 dB and 14.4534 dB better result than Hamming and Kaiser windows respectively. Moreover, the filter designed using the proposed window method reduces additive white Gaussian noise from the ECG signal more precisely than Kaiser window.