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Algorithms for the Spectrum Analysis of Digital Signals
Lyubomir Laskov, Veska Georgieva, Stanio Kolev
Faculty of Telecommunications at Technical University of Sofia 8 Kl. Ohridski Blvd Sofia 1000, Bulgaria
Abstract: In this current research we have introduced and discussed a method for analyzing the spectrum analysis of discrete signals with different shape forms. To do so we have used Discrete Fourier transformation and Fast Fourier transformation. We have also presented an algorithm and its implementation in MATLAB environment. We then have analysed the program code that influence the signals parameters on their spectrum. We do hope that this research results can serve as a study of the education activity.
Keywords: Digital Signal Processing, Spectrum Analyses, Computer Simulation, MATLAB Algorithms for the Spectrum Analysis of Digital Signals
DOI:https://doi.org/10.6025/jet/2021/12/2/49-56
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References:

[1] Ingle, V., Proakis, J. (1997). Digital Signal Processing Using MATLAB v4, PWS Publishing Company, 1997. [2] Н. А. Галанина, Д. Д. Дмитриев, Д. И. Ахметзянов, Алгоритм Герцеля для Спектрального Анализа Сигналов, Программные системы и вычислительные методы, No. 4(5), 2013. [3] Alkishriwo, O. (2013). The Discrete Linear Chirp Transform Algorithm and Its Applications, Ph.D. Thesis, University of Pittsburgh, 2013. [4] Chaparro, L. (2011). Signal and Systems using MATLAB, Academic Press (Elsevier), 2011. [5] Karris, S. (2012). Signal and Systems with MATLAB; Computing and Simulink; Modeling, Fifth edition, Orchard Publications, 2012. [6] Donevska, S., Donevsky, B. (2014). Advanced Engineering Mathematics, TU-Sofia, Sofia, 2014. [7] Sadiku, M., Ali, W. (2016). Signal and Systems: A Primer with MATLAB, CRC Press, 2016.

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