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A comparative study on window functions for designing efficient FIR filter

Hrishi Rakshit, Muhammad Ahsan Ullah

Open publisher page 41 citations

Abstract

The finite impulse response (FIR) filter designed using window method is a very popular, simpler and well working for various applications. This paper presents various window functions for designing FIR low pass filters and their comparative performance is given. Performance of windows are analyzed in both time and frequency domains. In term of main lobe-width, the Kaiser window is the most supercilious among other windows. On the other hand, the Dolph-Chebyshev shows better response in stop-band attenuation. Hamming window achieves the response in between Kaiser and Dolph-Chebyshev windows. In terms of frequency selectivity Hanning plays better role than the others.

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What this paper is about

The finite impulse response (FIR) filter designed using window method is a very popular, simpler and well working for various applications. This paper presents various window functions for designing FIR low pass filters and their comparative performance is given. Performance of windows are analyzed in both time and frequency domains. In term of main lobe-width, the Kaiser window is the most supercilious among other windows. On the other hand, the Dolph-Chebyshev shows better response in stop-band attenuation. Hamming window achieves the response in between Kaiser and Dolph-Chebyshev windows. In terms of frequency selectivity Hanning plays better role than the others.

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Available abstract

The finite impulse response (FIR) filter designed using window method is a very popular, simpler and well working for various applications. This paper presents various window functions for designing FIR low pass filters and their comparative performance is given. Performance of windows are analyzed in both time and frequency domains. In term of main lobe-width, the Kaiser window is the most supercilious among other windows. On the other hand, the Dolph-Chebyshev shows better response in stop-band attenuation. Hamming window achieves the response in between Kaiser and Dolph-Chebyshev windows. In terms of frequency selectivity Hanning plays better role than the others.

Key concepts: Window function, Finite impulse response, Chebyshev filter, Window (computing), Impulse response, Computer science, Main lobe, Filter (signal processing)

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