Design of an Effective Finite Impulse Response Filter Using Gaussian and Kaiser Window Function
Abstract
Keywords: FIR, Gaussian, Blackman, Hamming, Kaiser
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Kumar V, Bangar S, Kumar, Jit S. Design of effective window function for FIR filters. International Conference on Advances in Engineering & Technology Research (ICAETR - 2014). Unnao. 2014. pp. 1–5.
Harris FJ. On the Use of Windows for Hannonic Analysis with the Discrete Fourier Transform. IEEE. Jan. 1978; 66 (l): 51–83p.
Shil M, Rakshit H, Ullah H. An adjustable window function to design a FIR filter. 2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Dhaka. 2017. pp. 1–5.
Rakshit H, Ullah MA. A comparative study on window functions for designing efficient FIR filter. 2014 9th International Forum on Strategic Technology (IFOST), Cox's Bazar. 2014. pp. 91–96.
Kaur Er. Sandeep, Sangeet Pal Kaur. Design of FIR filter using hanning window, hamming window and modified hamming window. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET). 2015; 4 (5): 2440– 2443p.
Eleti AA, Zerek AR. FIR digital filter design by using windows method with MATLAB. Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2013 14th International Conference on, Sousse. 2013. pp. 282–287.
Mittal A, Nandi A, Yadav D. Comparative study of 16-order FIR filter design using different multiplication techniques. IET Circuits, Devices & Systems. 5 2017; 11 (3): 196–200p.
Mottaghi-Kashtiban M, Shayesteh MG. New efficient window fun ction, replacement for the hamming window. IET Signal Processing. August 2011; 5 (5): 499–505p.
Proakis DG Manolakis. Digital Signal Processing. Fourth Edition. US: Prentice-Hall; 2007.
DOI: https://doi.org/10.37591/jscrs.v4i1.859
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