Designing a Low- Pass Fir Digital Filter by Using Hamming Window and Blackman Window Technique

Mohammed Mynuddin; Md. Tanjimuddin; Md. Masud Rana; Abdullah

doi:doi:10.11648/j.cssp.20150402.11

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Designing a Low- Pass Fir Digital Filter by Using Hamming Window and Blackman Window Technique

Mohammed Mynuddin, Md. Tanjimuddin, Md. Masud Rana, Abdullah

Published in Science Journal of Circuits, Systems and Signal Processing (Volume 4, Issue 2)

Received: 23 April 2015 Accepted: 1 May 2015 Published: 3 June 2015

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Abstract

In this paper is simulated the time- domain unit sample response of sine function and frequency- domain response of sine function. Digital filter plays an important role in today’s world of communication and computation. Without digital filter we cannot think about proper communication because noise occurs in channel. For removing noise or cancellation of noise we use various type of digital filter. In signal processing, there are mainly two types of filters exist .they are the Finite Impulse Response (FIR) filter and Infinite Impulse Response (IIR) filter. Finite Impulse Response (FIR) filter can be designed form Infinite Impulse Response (IIR) filter by various techniques. The widely used technique is the window technique. This paper low-pass FIR filter is implemented using an efficient adjustable window function based on Hamming window and Blackman window function. The output of the FIR design by Blackman window and the Blackman window are shown in this paper by simulating the code in Matlab. The Matlab program returns with a satisfactory result with proper magnitude plotting.

Published in	Science Journal of Circuits, Systems and Signal Processing (Volume 4, Issue 2)
DOI	10.11648/j.cssp.20150402.11
Page(s)	9-13
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Hamming Window, Blackman Window, Fir Filters, Low-Pass Filter, Unit Sample Response, Frequency Response

References

[1]	http://www.mikroe.com/chapters/view/72/chapter-2fir-filters/
[2]	Vinay K. Lngle, John G. Proakis, Digital Signal Processing using MATLAB.
[3]	John G. Proakis, Dimitris G. Manolakis, Digital Signal Processing: Principles’, Algorithms, and Applications,4th edition.
[4]	http://www.mathworks.com/help/dsp/examples/designing-low-pass-fir-filters.html
[5]	https://ccrma.stanford.edu/~jos/fp/Simplest_Lowpass_Filter.html
[6]	http://www.arc.id.au/FilterDesign.html
[7]	http://www.wavemetrics.com/products/igorpro/dataanalysis/signalprocessing/digitalfilters.htm
[8]	Mahrokh G. Shayesteh and Mahdi Mottaghi-Kashtiban “FIR filter design using a new window function” 978-1-4244-3298-1/09,2009 IEEE.
[9]	Chonghua Li, “Design and Realization of FIR Digital Filters Based on MATLAB” ,IEEE 2010.
[10]	http://www.labbookpages.co.uk/audio/firWindowing.html
[11]	http://www.mathworks.com/help/signal/ug/windows.html
[12]	Window Function, Wikipedia, the free encyclopedia 2012
[13]	http://en.wikipedia.org/wiki/Window_Function.
[14]	Roy, T.K.; Morshed, M., "Performance analysis of low pass FIR filters design using Kaiser, Gaussian and Tukey window function methods," Advances in Electrical Engineering (ICAEE), 2013 International Conference on , vol., no., pp.1,6, 19-21 Dec. 2013
[15]	Sonika Gupta, AmanPanghal Performance, “Performance Analysis of FIR Filter Design by Using Rectangular, Hanning and Hamming Windows Methods”, International Journal of Advanced Research in Computer Science and Software Engineering Volume 2, Issue 6, June 2012.
[16]	http://en.wikipedia.org/wiki/Analog-to-digital_converter#ADC_types
[17]	http://en.wikipedia.org/wiki/Digital-to-analog_converter#DAC_types
[18]	http://en.wikipedia.org/wiki/Impulse_response
[19]	http://en.wikipedia.org/wiki/Frequency_response

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APA Style

Mohammed Mynuddin, Md. Tanjimuddin, Md. Masud Rana, Abdullah. (2015). Designing a Low- Pass Fir Digital Filter by Using Hamming Window and Blackman Window Technique. Science Journal of Circuits, Systems and Signal Processing, 4(2), 9-13. https://doi.org/10.11648/j.cssp.20150402.11

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ACS Style

Mohammed Mynuddin; Md. Tanjimuddin; Md. Masud Rana; Abdullah. Designing a Low- Pass Fir Digital Filter by Using Hamming Window and Blackman Window Technique. Sci. J. Circuits Syst. Signal Process. 2015, 4(2), 9-13. doi: 10.11648/j.cssp.20150402.11

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AMA Style

Mohammed Mynuddin, Md. Tanjimuddin, Md. Masud Rana, Abdullah. Designing a Low- Pass Fir Digital Filter by Using Hamming Window and Blackman Window Technique. Sci J Circuits Syst Signal Process. 2015;4(2):9-13. doi: 10.11648/j.cssp.20150402.11

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@article{10.11648/j.cssp.20150402.11,
  author = {Mohammed Mynuddin and Md. Tanjimuddin and Md. Masud Rana and Abdullah},
  title = {Designing a Low- Pass Fir Digital Filter by Using Hamming Window and Blackman Window Technique},
  journal = {Science Journal of Circuits, Systems and Signal Processing},
  volume = {4},
  number = {2},
  pages = {9-13},
  doi = {10.11648/j.cssp.20150402.11},
  url = {https://doi.org/10.11648/j.cssp.20150402.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cssp.20150402.11},
  abstract = {In this paper is simulated the time- domain unit sample response of sine function and frequency- domain response of sine function. Digital filter plays an important role in today’s world of communication and computation. Without digital filter we cannot think about proper communication because noise occurs in channel. For removing noise or cancellation of noise we use various type of digital filter. In signal processing, there are mainly two types of filters exist .they are the Finite Impulse Response (FIR) filter and Infinite Impulse Response (IIR) filter. Finite Impulse Response (FIR) filter can be designed form Infinite Impulse Response (IIR) filter by various techniques. The widely used technique is the window technique. This paper low-pass FIR filter is implemented using an efficient adjustable window function based on Hamming window and Blackman window function. The output of the FIR design by Blackman window and the Blackman window are shown in this paper by simulating the code in Matlab. The Matlab program returns with a satisfactory result with proper magnitude plotting.},
 year = {2015}
}

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TY  - JOUR
T1  - Designing a Low- Pass Fir Digital Filter by Using Hamming Window and Blackman Window Technique
AU  - Mohammed Mynuddin
AU  - Md. Tanjimuddin
AU  - Md. Masud Rana
AU  - Abdullah
Y1  - 2015/06/03
PY  - 2015
N1  - https://doi.org/10.11648/j.cssp.20150402.11
DO  - 10.11648/j.cssp.20150402.11
T2  - Science Journal of Circuits, Systems and Signal Processing
JF  - Science Journal of Circuits, Systems and Signal Processing
JO  - Science Journal of Circuits, Systems and Signal Processing
SP  - 9
EP  - 13
PB  - Science Publishing Group
SN  - 2326-9073
UR  - https://doi.org/10.11648/j.cssp.20150402.11
AB  - In this paper is simulated the time- domain unit sample response of sine function and frequency- domain response of sine function. Digital filter plays an important role in today’s world of communication and computation. Without digital filter we cannot think about proper communication because noise occurs in channel. For removing noise or cancellation of noise we use various type of digital filter. In signal processing, there are mainly two types of filters exist .they are the Finite Impulse Response (FIR) filter and Infinite Impulse Response (IIR) filter. Finite Impulse Response (FIR) filter can be designed form Infinite Impulse Response (IIR) filter by various techniques. The widely used technique is the window technique. This paper low-pass FIR filter is implemented using an efficient adjustable window function based on Hamming window and Blackman window function. The output of the FIR design by Blackman window and the Blackman window are shown in this paper by simulating the code in Matlab. The Matlab program returns with a satisfactory result with proper magnitude plotting.
VL  - 4
IS  - 2
ER  -

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Author Information

Mohammed Mynuddin

Dept of EEE, Atish Dipankar University of Science and Technology, Dhaka, Bangladesh
Md. Tanjimuddin

Dept. of EEE, Leading University, Sylhet, Bangladesh
Md. Masud Rana

Dept. of EEE, World University of Bangladesh, Dhaka, Bangladesh
Abdullah

(O& M Elect.) Dutch Bangla Power & Associate Limited (DBPL), Orion Group, Dhaka, Bangladesh

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Plain Text BibTeX RIS

APA Style

Mohammed Mynuddin, Md. Tanjimuddin, Md. Masud Rana, Abdullah. (2015). Designing a Low- Pass Fir Digital Filter by Using Hamming Window and Blackman Window Technique. Science Journal of Circuits, Systems and Signal Processing, 4(2), 9-13. https://doi.org/10.11648/j.cssp.20150402.11

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ACS Style

Mohammed Mynuddin; Md. Tanjimuddin; Md. Masud Rana; Abdullah. Designing a Low- Pass Fir Digital Filter by Using Hamming Window and Blackman Window Technique. Sci. J. Circuits Syst. Signal Process. 2015, 4(2), 9-13. doi: 10.11648/j.cssp.20150402.11

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AMA Style

Mohammed Mynuddin, Md. Tanjimuddin, Md. Masud Rana, Abdullah. Designing a Low- Pass Fir Digital Filter by Using Hamming Window and Blackman Window Technique. Sci J Circuits Syst Signal Process. 2015;4(2):9-13. doi: 10.11648/j.cssp.20150402.11

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@article{10.11648/j.cssp.20150402.11,
  author = {Mohammed Mynuddin and Md. Tanjimuddin and Md. Masud Rana and Abdullah},
  title = {Designing a Low- Pass Fir Digital Filter by Using Hamming Window and Blackman Window Technique},
  journal = {Science Journal of Circuits, Systems and Signal Processing},
  volume = {4},
  number = {2},
  pages = {9-13},
  doi = {10.11648/j.cssp.20150402.11},
  url = {https://doi.org/10.11648/j.cssp.20150402.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cssp.20150402.11},
  abstract = {In this paper is simulated the time- domain unit sample response of sine function and frequency- domain response of sine function. Digital filter plays an important role in today’s world of communication and computation. Without digital filter we cannot think about proper communication because noise occurs in channel. For removing noise or cancellation of noise we use various type of digital filter. In signal processing, there are mainly two types of filters exist .they are the Finite Impulse Response (FIR) filter and Infinite Impulse Response (IIR) filter. Finite Impulse Response (FIR) filter can be designed form Infinite Impulse Response (IIR) filter by various techniques. The widely used technique is the window technique. This paper low-pass FIR filter is implemented using an efficient adjustable window function based on Hamming window and Blackman window function. The output of the FIR design by Blackman window and the Blackman window are shown in this paper by simulating the code in Matlab. The Matlab program returns with a satisfactory result with proper magnitude plotting.},
 year = {2015}
}

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TY  - JOUR
T1  - Designing a Low- Pass Fir Digital Filter by Using Hamming Window and Blackman Window Technique
AU  - Mohammed Mynuddin
AU  - Md. Tanjimuddin
AU  - Md. Masud Rana
AU  - Abdullah
Y1  - 2015/06/03
PY  - 2015
N1  - https://doi.org/10.11648/j.cssp.20150402.11
DO  - 10.11648/j.cssp.20150402.11
T2  - Science Journal of Circuits, Systems and Signal Processing
JF  - Science Journal of Circuits, Systems and Signal Processing
JO  - Science Journal of Circuits, Systems and Signal Processing
SP  - 9
EP  - 13
PB  - Science Publishing Group
SN  - 2326-9073
UR  - https://doi.org/10.11648/j.cssp.20150402.11
AB  - In this paper is simulated the time- domain unit sample response of sine function and frequency- domain response of sine function. Digital filter plays an important role in today’s world of communication and computation. Without digital filter we cannot think about proper communication because noise occurs in channel. For removing noise or cancellation of noise we use various type of digital filter. In signal processing, there are mainly two types of filters exist .they are the Finite Impulse Response (FIR) filter and Infinite Impulse Response (IIR) filter. Finite Impulse Response (FIR) filter can be designed form Infinite Impulse Response (IIR) filter by various techniques. The widely used technique is the window technique. This paper low-pass FIR filter is implemented using an efficient adjustable window function based on Hamming window and Blackman window function. The output of the FIR design by Blackman window and the Blackman window are shown in this paper by simulating the code in Matlab. The Matlab program returns with a satisfactory result with proper magnitude plotting.
VL  - 4
IS  - 2
ER  -

Copy | Download