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Algorithms and Service for Digital Processing of Two-Dimensional Geophysical Fields Using Octave Method

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Date

2022

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Volume Title

Publisher

Springer international Publishing Ag

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Organizational Unit
Department of Artificial Intelligence
The main purposes of the department's team are to prepare advanced bachelors and masters in the field of artificial intelligence, to conduct educational methodological and research work. "Artificial intelligence and IOT technologies" and "Embedded systems" laboratories are operating within the department, and it is planned to establish "Robotics" and "Cloud computing" laboratories.

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Abstract

This paper covers new algorithms for digital signal processing of two-dimensional geophysical fields using octave method, which predicts the mineral value of the field in terms of signal energy value. In addition, it addresses and shows a functional scheme of the platform service based on cloud technologies. The essence of the work is that the geophysical data are two-dimensional, so their volume is very large. This requires the use of fast algorithms for digital processing of large amounts of data. Therefore, if we use the octave method effectively, the required result is obtained by calculating the value of the signal energy and comparing the finite difference of these values with its previous value.

Description

Singh, Dhananjay/0000-0003-3822-9348; Makhmudjanov, Sarvar/0000-0002-8642-6808; Zaynidinov, Hakimjon/0000-0002-8098-5246; Yusupov, Ibrohimbek/0000-0002-2166-6683

Keywords

Morlet wavelets, Fure spectrum, Haar wavelet-coefficient, Haar fast transformation, Shannon wavelets, Two-dimensional signals

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Citation

4

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N/A

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Q3

Source

13th International Conference on Intelligent Human Computer Interaction (IHCI) -- DEC 20-22, 2021 -- Kent State Univ, Design Innovat Hub, Kent, OH

Volume

13184

Issue

Start Page

460

End Page

470

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