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Spectral Algorithms for Signal Generation as Learning-Methodical Tool for Engineer Preparation

Spectral Algorithms for Signal Generation as Learning-Methodical Tool for Engineer Preparation
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Author(s): Vladimir V. Syuzev (Bauman Moscow State Technical University, Russia), Elena V. Smirnova (Bauman Moscow State Technical University, Russia), Kirill Kucherov (Bauman Moscow State Technical University, Russia), Vladimir Gurenko (Bauman Moscow State Technical University, Russia) and Gurgen Khachatrian (American University of Armenia, Armenia)
Copyright: 2019
Pages: 19
Source title: Handbook of Research on Engineering Education in a Global Context
Source Author(s)/Editor(s): Elena V. Smirnova (Bauman Moscow State Technical University, Russia) and Robin P. Clark (University of Warwick, UK)
DOI: 10.4018/978-1-5225-3395-5.ch023

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Abstract

In this chapter, a spectral method of deterministic signals simulation is proposed. The target is to solve the teaching methodological problem of individual tasks creation for students: future engineers in the field of real-time control systems' development and research. The tasks are related to the correlation theory. The method of simulation algorithms tuning with the help of specified spectrally correlation of signal characteristics and their parameters in the harmonic Fourier and Hartley basis is presented. To expand the set of task's variants for the independent student self-preparation the task of signals simulation has been formulated mathematically and solved in arbitrary complex and real systems of orthogonal basic functions. The requirements have been underlined on how teacher can teach basic functions for the practical applications. During such kind of decision task, the student will be able to counts the multiplicity, precision, and computational complexity of the resulting spectral simulation algorithms.

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