Матричні способи обчислення кореляційних характеристик за допомогою спектральних методів
The paper is devoted to the problem of calculation of autocorrelation function that is important for solving the tasks that require finding the repeating intervals of the signal or defining the main frequency of the signal against the background of non-stationary noise. The authors propose an algori...
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| Date: | 2020 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
PE "Politekhperiodika", Book and Journal Publishers
2020
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| Subjects: | |
| Online Access: | https://www.tkea.com.ua/index.php/journal/article/view/TKEA2020.3-4.11 |
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| Journal Title: | Technology and design in electronic equipment |
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Technology and design in electronic equipment| Summary: | The paper is devoted to the problem of calculation of autocorrelation function that is important for solving the tasks that require finding the repeating intervals of the signal or defining the main frequency of the signal against the background of non-stationary noise. The authors propose an algorithm to transform the connection between arithmetic and logical correlation functions in oriented basis into the matrix form. Comparative analysis is conducted for the computational complexity of different types of autocorrelation functions using different spectral methods - Fourier, Walsh, and oriented basis transform. |
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