FOREX Press I. J. of Electrical & Electronics Research
Support Open Access
  • Home/
  • IJEER-040303

Research Article |

Comparison and Performance Evaluation of Low Pass Filter Design for various samples using Artificial Neural Network

Author(s): Suchi Sharma* and Anjana Goen

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 4, issue 3

Publisher : FOREX Publication

Published : 30 september 2016

e-ISSN : 2347-470X

Page(s) : 74-79

DOI: https://doi.org/10.37391/IJEER.040303

Abstract

To design any type of filters complex calculation is needed. But with the help of window method, it become simple. In this paper a Low pass filter is designed by window method with the help of Artificial Neural Network. Here, Hann window and Blackman window is used to design filter and Feed Forward Back Propagation algorithm has been taken for neural network. In this paper different data sets for cut off frequency are consider for training and testing purpose to get best results.

Keywords: Blackman Window, FDA Tool, FFBP Network, Hann Window and NN Tool.




Suchi Sharma*, M Tech Scholar Department of Electronics, Rustamji Institute of Technology, Tekanpur, Gwalior, India; Email: Sharma90suchi@gmail.com

Anjana Goen, Associate Professor Department of Electronics, Rustamji Institute of Technology, Tekanpur, Gwalior, India; Email: anjana@rjit.org

    [1] J. Shao, N. Ye, J. H. Tang, “Synthesis method for broadband beam former based on FIR filters designed by neural network,” Control Conference (CCC), Institute of Electrical and Electronics Engineers (IEEE), 2011.
    [2] Khushboo Pachori and Amit Mishra, “Design of FIR digital filter using ADALINE neural network,” Forth International Conference on Computational Intelligence and Communication Network, Institute of Electrical and Electronics Engineers (IEEE), DOI 10.1109/CICN.2012.93, 2012.
    [3] S. Thapar, “A low pass FIR filter design using genetic algorithm based artificial neural network,” International Journal of Computer Technology and Electronics Engineering (IJCTEE), Vol. 2, No. 4, ISSN 2249-6343, pp. 99-103, Aug. 2012.
    [4] Jasdeep Singh and Charanjit Singh, “Design of Low Pass FIR Filter Using General Regression Neural Network (GRNN)” International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 3, Issue 10, pp. 224-229, October 2013.
    [5] Aparna Tiwari, Vandana Thakre and Karuna Markam, “FIR Filter design using artificial neural network,” International Journal of Computer & Communication Engineering Research (IJCCER), Vol. 2, Issue 3, May 2014.
    [6] C.C.Tseng and S.L.Lee, “Design of fractional delay FIR filter using radial basis function,” Circuit and System, 10.1109/ISCAS.2009.5117791, IEEE 2009.
    [7] Ajeet Maheshwari and Karuna Markam, “Design a Bartlett Window Based Digital Filter by Using GRNN,” International Journal of Innovative Research in Science, Volume 3, Issue 7, July14.
    [8] Sakshi Bangia, P R Sharma and Maneesha Garg, “Design of distributed active filters using artificial neural network for the enhancement of power quality” Advance Computing Conference (IACC), IEEE 2012.
    [9] Amanpreet Kaur and Ranjit kaur, “Design of FIR filter using particle swarm optimization algorithm for audio processing,” International Journal of Computer Science and Network (IJCSN), Vol. 1, No. 4, pp. 103-108, Aug. 2012.
    [10] Meenal Singh and V.B.V Thakare, “Artificial Neural Network used for Design low pass FIR filter a comparison,” International Journal of Electronics and Electrical Engineering Vol. 3, No. 3, pp. 216-219, June 2015.
    [11] Harpreet Kaur and Balwinder Dhaliwal, “Design of low pass FIR filter using artificial neural network,” International Journal of Information and Electronics Engineering, Volume 3, No. 2, pp. 204-207, March 2013.
    [12] Suchi Sharma and Anjana Goen,” Review on digital filter design using artificial neural network” Journal of Communication Engineering and Systems, STM, volume6, issue 2, pp. 10-15, 2016.
    [13] K. J. Hintz and J. J. Spofford, “Evoling neural network,” Proceedings of the IEEE Transactions on Communication and Intelligence, pp. 333-338, May 1990.
    [14] P. Pomenka and Z. Raida, “Methodology of neural design: Applications in microwave engineering,” Radio Engineering, vol. 15, no. 2, pp. 12-17, Jun. 2006.
    [15] D. Yavuz and T. Yildirim, “Design of digital filters with bilinear transform using neural networks,” 16th Signal and Processing, Communication and Applications Conference, Institute of electrical and electronics engineers (IEEE), 2008.
    [16] P. Sharma and R. P. Narwaria, “Comparison of FIR filters using neural network and FDA tool,” International Journal of Advanced and Innovative Research (IJAIR), vol. 2, no. 8, pp. 234- 239, Aug. 2013.

Suchi Sharma and Anjana Goen (2016), Comparison and Performance Evaluation of Low Pass Filter Design for various samples using Artificial Neural Network. IJEER 4(3), 74-79. DOI: 10.37391/IJEER.040303.