An adjustable window function to design an FIR filter

Shil, Mitun; Rakshit, Hrishi; Ullah, Hadaate

doi:10.1109/icivpr.2017.7890865

Cited by 16 publications

(4 citation statements)

References 6 publications

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“…Hamming Window is also derived from the raised cosine window by keeping a=0.54. Its window coefficients adjusted, so as to achieve lower sidebeam peak compared to Hanning window [16].…”

Section: Hamming Windowmentioning

confidence: 99%

Implementation of Effective Hybrid Window Function for E.C.G Signal Denoising

Das¹,

Kumar²,

Sahana³

2020

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“…Hamming Window is also derived from the raised cosine window by keeping a=0.54. Its window coefficients adjusted, so as to achieve lower sidebeam peak compared to Hanning window [16].…”

Section: Hamming Windowmentioning

confidence: 99%

Implementation of Effective Hybrid Window Function for E.C.G Signal Denoising

Das¹,

Kumar²,

Sahana³

2020

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“…In paper [12], author progressed frequency response for suppression side lobe attenuation; his proposed window has better performance matched to popularly utilized window such as hamming, Hanning and Blackman window. In paper [13], author presented a new function which used to desgin an FIR filter. The suggested window is matched with Hamming & Kaiser Window.…”

Section: Introductionmentioning

confidence: 99%

M-ary phase-shift keying using finite impulse response filter based on window function method

Daraghma

2021

IJECE

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Digital filters are vastly utilized in the area of communication. A perfect digital filter efficiency is significant and hence to design a digital finite impulse response filter (FIR) favorable all the wanted situations is necessary. In this paper, a new proposed FIR digital filter designed, the fineness of the submitted filter is tested in terms of BER and then matched with another window, namely Hamming, Hanning, and Blackman. The design procedure done in the MATLAB software. It is concluded that the Blackman window is the best window to design the FIR digital filter, because it is bit error rate is better than another window.

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“…Because of this digital FIR filter design using window approach is a better approach to design a finite impulse response filter. Generally, window function helps us to provide zero value outside the certain interval so can modify the value of adjustable window by modified the generally window function help us to provide zero value outside the certain interval so can modify the value of adjustable window by modifying the one or more variable parameters [2] [6]. This paper presents several windows for quite better spectral responses than commonly used windows.…”

Section: ░ 1 Introductionmentioning

confidence: 99%

Adjustable Spectral Characteristics to Design FIR Filter Using Two-Variable Window Function

Afridi¹,

Gupta²,

Thakre³

2020

IJEER

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This paper present a new dynamic window function having variable or adjustable spectral characteristics. A new dynamic window function proposed in this paper is a combination of hamming, Blackman-Harris, chebwin, and Kaiser Window function. Blackman-Harris, chebwin, and Kaiser Window functions have been used to compare with the suggested proposed window function i.e. a combination of hamming, Blackman-Harris, chebwin, and Kaiser Window function. Compare observation has been done with the help of MATLAB simulation. The simulation results show that the suggested proposed window function provides better ripple-ratio, main lobe width and side lobe roll-off ratio as compared to Blackman-Harris, chebwin, and Kaiser-window function. While comparing with Blackman-Harris, chebwin, and Kaiser Window functions, proposed window function provide quite good spectral performances with a very small compromisation of one of the spectral characteristics.

show abstract

An adjustable window function to design an FIR filter

Cited by 16 publications

References 6 publications

Implementation of Effective Hybrid Window Function for E.C.G Signal Denoising

Implementation of Effective Hybrid Window Function for E.C.G Signal Denoising

M-ary phase-shift keying using finite impulse response filter based on window function method

Adjustable Spectral Characteristics to Design FIR Filter Using Two-Variable Window Function

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