Comparison among baseband codes based on MATLAB

Research Article
Open access

Comparison among baseband codes based on MATLAB

Peian Xiao 1*
  • 1 School of Optical and Electronic Information, Huazhong University of Science and Technology, WuHan, 430074, China    
  • *corresponding author u201914099@hust.edu.cn
ACE Vol.5
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-915371-57-7
ISBN (Online): 978-1-915371-58-4

Abstract

The thesis is mainly concerned with baseband codes. First the paper will introduce the significance and application of baseband codes’ research. Then comparison between unipolar and bipolar signals’ capabilities resisting noise will be demonstrated. Moreover, calculation of channel capacity is utilized to demonstrate the difference between NRZ and RZ waveforms. After four kinds of waveforms, they are matched into groups and contrast them in frequency domain. Lastly, few common baseband waveforms are generated so that the discussed factors’ application can be illustrated more vividly. The thesis is to illustrate fundamental theories more reasonable and figurative.

Keywords:

baseband code, noise immunity, channel capacity, MATLAB.

Xiao,P. (2023). Comparison among baseband codes based on MATLAB. Applied and Computational Engineering,5,802-810.
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References

[1]. Peterson W,1962, Binary controls for error control, Transactions of the American Institute of Electrical Engineers, vol. 80, no. 6, pp. 648-652, Jan.

[2]. Martynov P, L'vov A, Dolinina O, Svetlov M, 2016, Evaluation of effectiveness of the coding and decoding algorithms in information channels realized on base of code signal feature, Electrical and Electronic Engineering Conference (EIConRusNW), pp. 290-293.

[3]. Farzamnia A, Yew E, Islam M, 2017, Investigation on channel capacity enhancement for MIMO-OFDM in fading channels using hybrid water filling and nash algorithm, IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA), pp. 249-253.

[4]. Essiambre R, Kramer R, Winzer P, Foschini G, and Goebel B,2010, Capacity limits of optical fiber optics, J. Lightwave Technol. 28, 662-701.

[5]. Elfataoui M and Mirchandani G, 2006, A frequency domain method for generation of discrete time analytic signals, IEEE Transactions on Signal Processing, vol. 54, no. 9, pp. 3343-3352, Sept.

[6]. Yi D et al., 2006, Improving dispersion tolerance of manchester coding by incorporating duobinary coding, IEEE Photonics Technology Letters, vol. 18, no. 16, pp. 1723-1725, Aug.

[7]. Zhang J, Chi N, Nielsen P, Peucheret C, and Jeppesen.P, 2004, Method for high-Speed Manchester encoded optical signal generation, Optical Fiber Communication Conference, paper MF76.

[8]. Yamada K, Ohuchi K, Error Detection Performance of TPSK Using AMI Code in Multi-Hop Communications under Rayleigh Fading Environments, Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2363-2365.

[9]. Liu X, Xiong D, Zhu Z, Yang X, Wang F, Improved CMI code in passive induction setting system, Journal of Chongqing University. Natural Science Edition, 133-137.

[10]. Xiong D, Zeng X 2009, Improved Coded Mark Inversion for the Passive Radio Frequency Transmission System of the Electronic Time Fuze, ETRI Journal, vol 31, pp.348-350.


Cite this article

Xiao,P. (2023). Comparison among baseband codes based on MATLAB. Applied and Computational Engineering,5,802-810.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 3rd International Conference on Signal Processing and Machine Learning

ISBN:978-1-915371-57-7(Print) / 978-1-915371-58-4(Online)
Editor:Omer Burak Istanbullu
Conference website: http://www.confspml.org
Conference date: 25 February 2023
Series: Applied and Computational Engineering
Volume number: Vol.5
ISSN:2755-2721(Print) / 2755-273X(Online)

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References

[1]. Peterson W,1962, Binary controls for error control, Transactions of the American Institute of Electrical Engineers, vol. 80, no. 6, pp. 648-652, Jan.

[2]. Martynov P, L'vov A, Dolinina O, Svetlov M, 2016, Evaluation of effectiveness of the coding and decoding algorithms in information channels realized on base of code signal feature, Electrical and Electronic Engineering Conference (EIConRusNW), pp. 290-293.

[3]. Farzamnia A, Yew E, Islam M, 2017, Investigation on channel capacity enhancement for MIMO-OFDM in fading channels using hybrid water filling and nash algorithm, IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA), pp. 249-253.

[4]. Essiambre R, Kramer R, Winzer P, Foschini G, and Goebel B,2010, Capacity limits of optical fiber optics, J. Lightwave Technol. 28, 662-701.

[5]. Elfataoui M and Mirchandani G, 2006, A frequency domain method for generation of discrete time analytic signals, IEEE Transactions on Signal Processing, vol. 54, no. 9, pp. 3343-3352, Sept.

[6]. Yi D et al., 2006, Improving dispersion tolerance of manchester coding by incorporating duobinary coding, IEEE Photonics Technology Letters, vol. 18, no. 16, pp. 1723-1725, Aug.

[7]. Zhang J, Chi N, Nielsen P, Peucheret C, and Jeppesen.P, 2004, Method for high-Speed Manchester encoded optical signal generation, Optical Fiber Communication Conference, paper MF76.

[8]. Yamada K, Ohuchi K, Error Detection Performance of TPSK Using AMI Code in Multi-Hop Communications under Rayleigh Fading Environments, Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2363-2365.

[9]. Liu X, Xiong D, Zhu Z, Yang X, Wang F, Improved CMI code in passive induction setting system, Journal of Chongqing University. Natural Science Edition, 133-137.

[10]. Xiong D, Zeng X 2009, Improved Coded Mark Inversion for the Passive Radio Frequency Transmission System of the Electronic Time Fuze, ETRI Journal, vol 31, pp.348-350.