Digital Models for Assessing the Relationship of Economic and Ecological Processes with Musical Works

DOI

10.2991/aebmr.k.200502.092How to use a DOI?

Keywords

spectrogram, continuous wavelet transform, characteristic of a signal, non-stationary signals, sound signals, spectral analysis

Abstract

The development of the digital economy, associated with the diffusion of new technologies, as well as new management models in many industries, can bring significant economic benefits, which include not only cost reduction and revenue growth, but also a reduction in risks arising, for example, in the process of analyzing audio signals. Positive examples are already described by scientists and practitioners in the field of healthcare, agriculture and trade. The purpose of the article is to analyze the impact of environmental signals and musical work using innovative, information technologies. Based on the correlation processing of the spectra of musical works by famous composers, a high level of their connection with low-frequency fluctuations of the microwave radiation of the Sun reaching the Earth’s surface is proved. The revealed regularity can be interpreted so that the works of famous musical works are nothing more than a reflection in the author’s processing of real natural processes, which include the fluctuations of the microwave radiation of the Sun. The result can be used as the basis for substantiating the necessary procedure for determining certain musical works for their use for medicinal purposes. The wavelet transform is a mathematical tool that provides a constant Q factor in the spectral analysis of signals. It is used for spectral analysis of a signal along with the Fourier transform, a classic example of a spectral analysis tool. In modern professional audio processing applications, various methods of signal transformations are widely used to create high-quality effects. Thus, it is effectively used to analyse musical signals, as frequencies on a musical scale are separated logarithmically. The advantages of the introduced correlation function over other correlation functions are noted, in particular, the ability to analyse not only temporal, but also frequency correlations of unsteady signals.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - S.N. Darovskih
AU  - P.M. Shonazarov
AU  - B.B. Saidov
PY  - 2020
DA  - 2020/05/05
TI  - Digital Models for Assessing the Relationship of Economic and Ecological Processes with Musical Works
BT  - Proceedings of the 2nd International Scientific and Practical Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2020)
PB  - Atlantis Press
SP  - 565
EP  - 571
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200502.092
DO  - 10.2991/aebmr.k.200502.092
ID  - Darovskih2020
ER  -