The topic of reducing mistakes that occur during the processing stage is discussed in the study work, which takes into consideration the rising need for digital signal processing of measurement data in the oil and gas industry. Taking into consideration the rising need for digital signal processing of measurement data in the oil and gas sector, the study effort tackles the problem of reducing mistakes that arise during the processing stage. In digital signal processing, we looked into the issues with corrective filtering and discrete averaging. The suggested method for developing information-measuring systems for the parameters in question entails a cumulative analysis of measurement processes and corrective filters with the goal of establishing balanced metrological, structural, and operational parameters. Algorithmic and functional markers of the proposed tools' efficacy Thus, a complete study of measurement procedures and a corrective filter are provided to offer a fair assessment of the efficacy, structural, and functional efficiency of the produced algorithmic tools. The topic of reducing mistakes that occur during the processing stage is discussed in the study work, which takes into consideration the rising need for digital signal processing of measurement data in the oil and gas industry. In addition, equalising filtering and discrete averaging in digital signal processing were examined. As a result, the numerical mean operator used in both methods of error correction may be considered to be meant for any mistake. Modeling in the Matlab software has verified this. In a message transmission system that operates under the impact of unexpected interference sources, a mathematical model is provided for analysing the noise immunity properties of a coherent modem reception. The demodulator synthesis procedure, decoding methods, effective M-PSK modulations, and Reed-Solomon codes in the modem are all taken into consideration in the established mathematical model. The noise immunity properties of a modem receive are evaluated using integrated expressions that take into consideration the receiver's energy performance.
A. M. Mehdiyeva,
Azerbaijan State Oil and Industry University, Baku, Azerbaijan.
I. Z. Sardarova.
Azerbaijan State Oil and Industry University, Baku, Azerbaijan.
S. V. Quliyeva,
Azerbaijan State Oil and Industry University, Baku, Azerbaijan.
Please see the link here: https://stm.bookpi.org/NRAMCS-V4/article/view/7039
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