A NOVEL WINDOW FUNCTION YIELDING
SUPPRESSED MAINLOBE WIDTH AND MINIMUM
SIDELOBE PEAK
M. Samad. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 2 (2):
91-103(April 2012)
DOI: 10.5121/ijcseit.2012.2209
Abstract
In many applications like FIR filters, FFT, signal processing and measurements, we are required (~45 dB)
or less side lobes amplitudes. However, the problem is usual window based FIR filter design lies in its side
lobes amplitudes that are higher than the requirement of application. We propose a window function,
which has better performance like narrower main lobe width, minimum side lobe peak compared to the
several commonly used windows. The proposed window has slightly larger main lobe width of the
commonly used Hamming window, while featuring 6.2~22.62 dB smaller side lobe peak. The proposed
window maintains its maximum side lobe peak about -58.4~-52.6 dB compared to -35.8~-38.8 dB of
Hamming window for M=10~14, while offering roughly equal main lobe width. Our simulated results also
show significant performance upgrading of the proposed window compared to the Kaiser, Gaussian, and
Lanczos windows. The proposed window also shows better performance than Dolph-Chebyshev window.
Finally, the example of designed low pass FIR filter confirms the efficiency of the proposed window.
%0 Journal Article
%1 noauthororeditor
%A Samad, Md Abdus
%D 2012
%J International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
%K Dolph-Chebyshev FIR Gaussian Hamming Kaiser filter window
%N 2
%P 91-103
%R 10.5121/ijcseit.2012.2209
%T A NOVEL WINDOW FUNCTION YIELDING
SUPPRESSED MAINLOBE WIDTH AND MINIMUM
SIDELOBE PEAK
%U http://airccse.org/journal/ijcseit/papers/2212ijcseit09.pdf
%V 2
%X In many applications like FIR filters, FFT, signal processing and measurements, we are required (~45 dB)
or less side lobes amplitudes. However, the problem is usual window based FIR filter design lies in its side
lobes amplitudes that are higher than the requirement of application. We propose a window function,
which has better performance like narrower main lobe width, minimum side lobe peak compared to the
several commonly used windows. The proposed window has slightly larger main lobe width of the
commonly used Hamming window, while featuring 6.2~22.62 dB smaller side lobe peak. The proposed
window maintains its maximum side lobe peak about -58.4~-52.6 dB compared to -35.8~-38.8 dB of
Hamming window for M=10~14, while offering roughly equal main lobe width. Our simulated results also
show significant performance upgrading of the proposed window compared to the Kaiser, Gaussian, and
Lanczos windows. The proposed window also shows better performance than Dolph-Chebyshev window.
Finally, the example of designed low pass FIR filter confirms the efficiency of the proposed window.
@article{noauthororeditor,
abstract = {In many applications like FIR filters, FFT, signal processing and measurements, we are required (~45 dB)
or less side lobes amplitudes. However, the problem is usual window based FIR filter design lies in its side
lobes amplitudes that are higher than the requirement of application. We propose a window function,
which has better performance like narrower main lobe width, minimum side lobe peak compared to the
several commonly used windows. The proposed window has slightly larger main lobe width of the
commonly used Hamming window, while featuring 6.2~22.62 dB smaller side lobe peak. The proposed
window maintains its maximum side lobe peak about -58.4~-52.6 dB compared to -35.8~-38.8 dB of
Hamming window for M=10~14, while offering roughly equal main lobe width. Our simulated results also
show significant performance upgrading of the proposed window compared to the Kaiser, Gaussian, and
Lanczos windows. The proposed window also shows better performance than Dolph-Chebyshev window.
Finally, the example of designed low pass FIR filter confirms the efficiency of the proposed window. },
added-at = {2018-06-30T06:55:12.000+0200},
author = {Samad, Md Abdus},
biburl = {https://www.bibsonomy.org/bibtex/29307a33b6df6e7a9a0842744cbce3557/ijcseit},
doi = {10.5121/ijcseit.2012.2209},
interhash = {6119ca17ea3f6838d27700123a6abce2},
intrahash = {9307a33b6df6e7a9a0842744cbce3557},
issn = {2231-3117 [Online] ; 2231-3605 [Print]},
journal = {International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)},
keywords = {Dolph-Chebyshev FIR Gaussian Hamming Kaiser filter window},
language = {English},
month = apr,
number = 2,
pages = {91-103},
timestamp = {2018-06-30T06:55:12.000+0200},
title = {A NOVEL WINDOW FUNCTION YIELDING
SUPPRESSED MAINLOBE WIDTH AND MINIMUM
SIDELOBE PEAK},
url = {http://airccse.org/journal/ijcseit/papers/2212ijcseit09.pdf},
volume = 2,
year = 2012
}