Zaynidinov, H. N.Singh, DhananjayYusupov, IMakhmudjanov, S. U.Department of Artificial Intelligence2024-12-162024-12-1620224978303098404597830309840380302-97431611-334910.1007/978-3-030-98404-5_43https://doi.org/10.1007/978-3-030-98404-5_43https://tuit-demo.gcris.com/handle/123456789/68Singh, Dhananjay/0000-0003-3822-9348; Makhmudjanov, Sarvar/0000-0002-8642-6808; Zaynidinov, Hakimjon/0000-0002-8098-5246; Yusupov, Ibrohimbek/0000-0002-2166-6683This 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.eninfo:eu-repo/semantics/closedAccessMorlet waveletsFure spectrumHaar wavelet-coefficientHaar fast transformationShannon waveletsTwo-dimensional signalsConference ObjectN/AQ313184460470WOS:000784640700043