2010Unpublished venueRequires access

Implementation of different FIR high pass filters using fractional Kaiser window

P.V. Muralidhar, Divya Nataraj, Vomsheendhur Raju, Sagar Naik

Open publisher page 13 citations

Abstract

In this paper we have implemented high pass filter with the help of Kaiser window and Fractional Fourier Transform (FRFT). The window shape parameter is tuned for the transition band by considering linear phase FRFT Finite Impulse Response (FIR) filter. Here FRFT of Kaiser Window is taken and convolved with the response function for tuning purposes of the transition band which makes effective transition band. This proposed method includes the change of parameters of Kaiser window by which other windows like Rectangle, Bartlett, Hamming Blackman and Hanning windows are generated by using FRFT. The efficiencies of this method in terms of main lobe and side ripples is better than the above mentioned windows under Fourier transform.

About this research paper

What this paper is about

In this paper we have implemented high pass filter with the help of Kaiser window and Fractional Fourier Transform (FRFT). The window shape parameter is tuned for the transition band by considering linear phase FRFT Finite Impulse Response (FIR) filter. Here FRFT of Kaiser Window is taken and convolved with the response function for tuning purposes of the transition band which makes effective transition band. This proposed method includes the change of parameters of Kaiser window by which other windows like Rectangle, Bartlett, Hamming Blackman and Hanning windows are generated by using FRFT. The efficiencies of this method in terms of main lobe and side ripples is better than the above mentioned windows under Fourier transform.

Why it matters

OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper we have implemented high pass filter with the help of Kaiser window and Fractional Fourier Transform (FRFT). The window shape parameter is tuned for the transition band by considering linear phase FRFT Finite Impulse Response (FIR) filter. Here FRFT of Kaiser Window is taken and convolved with the response function for tuning purposes of the transition band which makes effective transition band. This proposed method includes the change of parameters of Kaiser window by which other windows like Rectangle, Bartlett, Hamming Blackman and Hanning windows are generated by using FRFT. The efficiencies of this method in terms of main lobe and side ripples is better than the above mentioned windows under Fourier transform.

Key concepts: Window function, Finite impulse response, Fractional Fourier transform, Algorithm, Rectangle, Window (computing), Fourier transform, Impulse response

Related papers

Back to paper searchBrowse research topicsOriginal source
Implementation of different FIR high pass filters using fractional Kaiser window — Research Paper | ScholarLens