A Mobile Application to Demonstrate the Basic Concepts of Radio Electronics

DOI: https://doi.org/10.32603/2071-2340-2020-1-49-57
Keywords: Fourier transform, signal processing, spectrum analysis.

Abstract

In the process of studying the basics of the theory of signal transmission and acquaintance with the elements of electrical circuits it is important to demonstrate the mechanism of their work. For this, as a rule, a special laboratory workshop is required, inaccessible during lectures. The developed mobile application “SAoS” works in an interactive mode and does not require special programming skills. It allows the simulation of signals and operations on them using generators, adders, multipliers and various filters included in the structural diagram. The received signal is displayed in the form of an oscillogram and an amplitude spectrum.

Author Biographies

Lev E. Shurinov, Irkutsk State University, 1, ul. K. Marx, 664003, Irkutsk, Russia

Fourth year bachelor student, Physics faculty, Irkutsk State University, shurinovlev15@gmail.com

Ivan S. Petrushin, Irkutsk State University, 1, ul. K. Marx, 664003, Irkutsk, Russia

PhD, associate Professor of the Department of Radiophysics and Radioelectronics of the faculty of physics at Irkutsk State University, ivan.kiel@gmail.com

Sergei I. Knizhin, Irkutsk State University, 1, ul. K. Marx, 664003, Irkutsk, Russia

PhD, associate Professor of the Department of Radiophysics and Radioelectronics of the faculty of physics at Irkutsk State University, sergeiknizhin@mail.ru

References

E. S. Ifeachor and B. W. Jervis, Digital signal processing: a practical approach, Moscow: Williams Publishing House, 2004.

“Cooley-Tukey Fast Fourier Transform, radix-2 case,” AlgoWiki. [Online]. Available: http://algowiki-project.org/en/Cooley%E2%80%93Tukey_Fast_Fourier_Transform,_radix-2_case

V. A. Vlasenko, Yu. M. Lappa, and L. P. Yaroslavsky, Synthesis methods for fast convolution algorithms and spectral analysis of signals, Moscow: Nauka, 1990.

S. V. Kozlov, “Estimation-compensation algorithm for simulating interference selection,” Reports of the Belarusian State University of Informatics and Radioelectronics, vol. 112, no. 2, pp. 18–25, 2018 (in Russian).

S. N. Pavlikov and E. I. Ubankin, “Study of autocorrelation of a new class of broadband signals,” H&ES Research, vol. 11, no. 3, pp. 46–59, 2019 (in Russian); doi: 10.24411/2409-5419-2018-10268

V. I. Tikhonov, Statistical radio engineering, Moscow: Radio and communications, 1982.

“Wolfram Mathematica: The most complete system for modern computing in the world Wolfram,” in Wolfram Research. [Online]. Available: https://www.wolfram.com/mathematica/

L. Shurinov, SAoS, v. 3.0, 2020. [Online]. Available: https://play.google.com/store/apps/details?id=ru.levshurinov.saosisu

“Repositories LevShurinov,” in Github. [Online]. Available: https://github.com/LevShurinov/SAoS

“Android Studio,” in Developers. [Online]. Available: https://developer.android.com/studio

J. G. L. Hernandez, Fourier transform (FFT), v. 1.5, 2018. [Online]. Available: https://play.google.com/store/apps/details?id=fourierfft.pro.troyapps.com.fourierfft

The MathWorks, Inc., MATLAB Mobile, 2020. [Online]. Available: https://play.google.com/store/apps/details?id=com.mathworks.matlabmobile

M. Rajesh, DSP Calculator+, 2020. [Online]. Available: https://play.google.com/store/apps/details?id=com.droidgeeklabs.dsp

“Wolfram Language: Programming with Integrated Artificial Intelligence,” in Wolfram Research. [Online]. Available: https://www.wolfram.com/language/index.html.ru?footer=lang

“MATLAB: Technical Computing Language,” in Matlab. [Online]. Available: https://matlab.ru/products/matlab/matlab-datasheet-rus.pdf

Published
2020-03-30
How to Cite
Shurinov, L. E., Petrushin, I. S., & Knizhin, S. I. (2020). A Mobile Application to Demonstrate the Basic Concepts of Radio Electronics. Computer Tools in Education, (1), 49-57. https://doi.org/10.32603/2071-2340-2020-1-49-57
Issue
No 1 (2020)
Section
Computers in the teaching process