Study the Characteristics of Finite Impulse Response Filter Based on Modified Kaiser Window

Authors

  • Muzhir Shaban Al-Ani Department of Information Technology – College of Science and Technology - University of Human Development, Sulaymaniyah, Iraq http://orcid.org/0000-0002-7007-8116

DOI:

https://doi.org/10.21928/uhdjst.v1n2y2017.pp1-6

Keywords:

Filter Coefficients, Filter Coefficients, Finite Impulse Response Filter, Kaiser Filter, Sidelobes

Abstract

Finite impulse response (FIR) plays an important part between all other types of filters. There are many types windows used to design of FIR filters. Most important types are as follows: Hanning, hamming, rectangular, triangular, Blackman, Kaiser, etc. The characteristics of these filters depend on the number of generated coefficients in addition to the side lobes of the filter spectrum. The aim of this work is to study and evaluate Kaiser Window type depends on the variation of its factors applied for resizing the impulse response to reach a suitable size the filter. Kaiser Window is an important filter window that can be used to get many types of windows depending on their parameters. The proposed filter approach is designed and implemented through mixing of many filter factors. The filter characteristics are achieved using different values of filter size and attenuation. The implementation of the proposed Kaiser filter window provides an adequate and easy way to measure the window coefficients and maximum side lobe levels. The benefit of Kaiser Window that you can generate many types of window depending on the parameters change. 

Index Terms: Filter Coefficients, Finite Impulse Response Filter, Kaiser Filter, Sidelobes

References

[1] M. S. M. Al-Ani and S. Lorenzo. “System implementation of LUT FFT.” 6th Mediterranean Electrotechnical Conference (MELECON’91), Yugoslavia, 22-24 May. 1991.

[2] L. Nozal, S. Lorenzo, B. Rui and M. S. M. Al-Ani. “Real time and lowcost image processing architecture based on programmable logic device (PLD).” Intelligent for Mechanical System, Proceedings IROS ‘91, Osaka, Japan, pp. 279-284, 3-5 Nov. 1991.

[3] M. S. M. Al-Ani, S. Lorenzo, L. Nozal and B. Rui. “FFT LUT for image processing.” The International Society for Optical Engineering (SPIE’92), Section of Algorithms Technique and Active Vision, USA, pp. 121-129, 15-20 Nov. 1992.

[4] G. I. Raho, A. J. Dawood and M. S. Al-Ani. “Real time fast algorithm of 2D DWT based DSP technology.” International Journal of Application or Innovation in Engineering and Management, vol. 2, no. 10, pp. 1-5, Oct. 2013.

[5] L. Nozal, S. Lorenzo, B. Rui and M. S. M. Al-Ani. “Hardware Structure + digital signal processing on real time.” International Conference on Industrial Electronics, Control, Instrumentation and Automation, San Diego, California, USA, pp. 1397-1402, 9-13 Nov. 1992.

[6] Q. Al-Shayea and M. S. Al-Ani. “Efficient window approach of FIR filter design (MSK2).” IJCSNS International Journal of Computer Science and Network Security, vol. 16, no. 2, pp. 63-68. Feb. 2016.

[7] Oliveira, H. Jr., H. Petraglia and A. Petraglia. “Frequency domain FIR filter design using fuzzy adapting simulated annealing.” Circuits, Systems, Signal Process, vol. 28, pp. 899-911, 2009.

[8] A. A. Lanne, T. V. Merkucheva and A. I. Solonina. “Calculation of narrowband low pass filters with finite impulse response.” Radioelectronic and Communication Systems, vol. 52, no. 6, pp. 311-316, 2009.

[9] A. A. Lanne and T. V. Merkucheva. “Filter with double symmetry.” Radioelectronic and Communication Systems, vol. 52, no. 5, pp. 256-260, 2009.

[10] H. S. Yazdi and M. Rezaei. “The wheatstone bridge-based analog adaptive filter with application in echo cancellation.” Analog Integral Circuits and Signal Processing, 16 Sep. 2009.

[11] A. Blad and O. Gustafsson. “Integer linear programming-based bit-level optimization for high speed FIR decimation filter architectures.” Circuits, Systems, Signal Process, vol. 29, pp. 81-101, 2010.

[12] R. Lehto, T. Saramäki and O. Vainio. “Synthesis od wideband linear-phase FIR filters with a piecewise-polynomial-sinusoidal impulse response.” Circuits, Systems, Signal Process, vol. 29, pp. 25-50, 2010.

[13] Y. C. Lim, J. W. Lee and S. W. Foo. “Quality analog scramblers using frequency response masking filter banks.” Circuits, Systems, Signal Process, vol. 29, pp. 135-154, 2010.

[14] Y. Wei and Y. Lian. “Frequency response masking filters basedon serial masking schemes.” Circuits, Systems, Signal Process, vol. 29, pp. 7-24, 2010.

[15] Y. J. Yu and Y. C. Lim. “Optimization of linear phase FIR filters indynamically expanding subexpression space.” Circuits, Systems, Signal Process, vol. 29, pp. 65-80, 2010.

[16] L. Rosenbaum, P. Löwenborg and H. Johansson. “Two classes of cosine modulated IIR/IIR and IIR/FIR NPR filter banks.” Circuits, Systems, Signal Process, vol. 29, pp. 103-133, 2010.

[17] L. Nozal, S. Lorenzo, B. Rui and M. S. M. Al-Ani. “Pipe-line programmable logic device (PLD) a new solution for image processing.” SICE’91 Conference, Yonezawa, Japan, pp. 1097-1100, 17-19 Jul. 1991.

[18] L. Nozal, S. Lorenzo, B. Rui and M. S. M. Al-Ani. “A new vision system programable logic devices digital signal processor architecture (PLD+DSP).” International Conference on Industrial Electronics Control and Instrumentation (IECON’91), Japan, pp. 2014-2018, 28 Oct. 1 Nov. 1991.

[19] M. S. M. Al-Ani, S. Lorenzo and L. Nozal. “Fast 2D convolution filter based on LUT FFT.” IEEE International Symposium on Industrial Electronics, Chain, pp. 446-449, 25-27 May. 1992.

[20] M. S. M. Al-Ani, S. Lorenzo, L. Nozal and B. Rui. “Fast image filtering implementation.” Second International Conference on Document Analysis and Recognition (ICDAR’93), In: Cooperation with the IEEE Computer Society and IGS, Tsukuba Science City, Japan. 20-22 Oct. 1993.

[21] B. Rui, S. Lorenzo, L. Nozal and M. S. M. Al-Ani. “Digital signal processor accelerator board for image processing on VME bus based system.” Machine Vision Application, Architectures, and System Integration, Boston, Manssachusetts, USA, pp. 85-89, 17-18 Nov. 1992.

[22] P. Mohindru, R. Khanna and S. S. Bhatia. “New tuning model forrectangular windowed FIR filter using fractional Fourier transform”, London: SIViP, Springer-Verlag, 2013.

[23] A. Kumar, S. Sumana and G. K. Singh. “A new closed form method for design of variable bandwidth linearphase FIR filter using different polynomials.” AEU-International Journal of Electronicsand Communications, vol. 68, pp. 351-360, 2014.

[24] J. M. Pak, S. Y. Yoo, M. T. Lim and M. K. Song. “Weighted average extended FIR filter bank to manage the horizon size in nonlinear FIR filtering.” International Journal of Control, Automation, and Systems, vol. 13, no. 1, pp. 1-8, 2015.

[25] P. L. Barnes and G. C. Verghese. “Uniform FIR approximation of causal wiener filters, with applications to causal coherence.” Signal Processing, vol. 122, pp. 129-137, 2016.

[26] X. Huang, Y. Wang, Z. Yan, H. Xian and M. Liu. “Closed-form FIR filter design with accurately controllable cut-off frequency, circuits system signal process,” New York: Springer Science and Business Media, 2016. Available: https://link.springer.com/article/10.1007/s00034-016-0330-7. [Apr. 27, 2016].

[27] J. M. Pak, P. S. Kim, S. H. You, S. S. Lee and M. K. Song. “Extended least square unbiased FIR filter for target tracking using the constant velocity motion model. International Journal of Control, Automation and Systems, vol. 15, no. X, pp. 1-5, 2017.

[28] A. Boukharouba. “Smoothed rectangular function-based FIR filter design, circuits system signal process,” New York: Springer Science and Business Media, 2017. Available: https://link.springer.com/article/10.1007/s00034-017-0529-2. [Feb. 21, 2017].

Published

2017-08-29

How to Cite

Al-Ani, M. S. (2017). Study the Characteristics of Finite Impulse Response Filter Based on Modified Kaiser Window. UHD Journal of Science and Technology, 1(2), 1–6. https://doi.org/10.21928/uhdjst.v1n2y2017.pp1-6

Issue

Section

Articles