![]() The modules of the metrologically significant part of the software that perform the functions of processing, storing and transmitting measurement data and spectral analysis results are implemented in the resource efficient C ++ 17 language. The graphical user interface is implemented using the high-tech integrated development environment Intellij IDEA in the Java 8 multi-platform programming language, which allows extending the functionality of the measurement system. ![]() The software structure consists of the following main software components: a module for visualization of measurement data, a module for implementing the algorithm for spectral analysis of multicomponent signals, and a data processing converter between the user interface and the module for implementing algorithms. The need to create specialized software measuring-computing system that implements the evaluation of the spectral components of multicomponent processes is caused by the fact that existing proprietary software products either have redundant functionality to solve highly specialized tasks or do not provide the necessary flexibility in the provision, support and modification of libraries that meet specific requirements. This algorithm can be used as a part of diagnosability provision for a wide range technical object.read more read lessĪbstract: The article discusses the development of specialized software measuring-computing system, designed to operational spectral analysis of multicomponent signals based on data processing, obtained by simulating the procedure of binary sign-function quantization. The simulation results showed that the algorithm allows calculating the amplitude spectrum of complex signals with high precision and frequency resolution in the presence of external additive noise. Experimental research of the developed algorithm was carried out using simulation modeling. The elimination of digital multiplication operations increases in the computational efficiency of frequency spectrum estimation. As a consequence, the developed harmonic analysis algorithm does not require performing digital multiplication operations in contrast to the classical algorithms based on the calculation of the direct Fourier transform. The discrete-event model of the binary sign analogue-stochastic quantization permitted the analytical calculation of integration operations in the transition to the computation of amplitude spectrum estimates in digital form. ![]() This type of quantization is used as the primary conversion of the analyzed signal to digital form. Binary sign analog-stochastic quantization formed the development basis of the algorithm. Abstract: The paper considers the high-performance digital algorithm for the harmonic analysis of complex signals. ![]()
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