SIGNAL SPEKTRINI ANIQLASH
Annotatsiya
Ushbu maqolada signallarning chastotaviy spektrini aniqlash masalasi keng yoritilgan. Signallarni vaqt sohasidan chastota sohasiga o‘tkazishda Furye transformatsiyasining o‘rni, diskret Furye o‘zgartirishi va uning tez algoritmi (FFT) tahlil qilinadi. Spektrni baholashning klassik va zamonaviy usullari, jumladan periodogramma, Welch, Burg kabi yondashuvlar solishtiriladi. Shuningdek, spektrni aniqlashda qo‘llaniladigan asboblar va dasturiy vositalar, hamda bu usullarning telekommunikatsiya, tibbiyot va texnik diagnostika sohalaridagi amaliy ahamiyati ochib beriladi.
Kalit soʻzlar:
Iqtiboslar
MathWorks. Basic Spectral Analysis. https://uk.mathworks.com/help/matlab/math/basic-spectral-analysis.html[reference:15]
TU Delft. Basics of the Discrete Fourier Transform. https://oit.tudelft.nl/Computational-Science-Interactive-Textbook/main/content/Fourier_transforms_1/Fourier_transforms_1.html[reference:16]
Power Spectrum Estimation Method Based on Matlab. Proceedings of the 3rd International Conference on Vision, Image and Signal Processing, 2020.
Wikipedia. Spectral density estimation. https://en.wikipedia.org/wiki/Spectrum_estimation[reference:18]
ScienceAlgorithm.uz. SIGNAL GENERATSIYASI VA UNING CHASTOTA SPEKTRINI TAHLIL QILISH. http://sciencealgorithm.uz[reference:19]
Keysight Technologies. How Does a Spectrum Analyzer Work. https://www.keysight.com[reference:20]
ScienceDirect. Signal Processing – an overview. https://www.sciencedirect.com/topics/engineering/signal-processing[reference:21]
Spectral analysis of clock noise: a primer. Metrologia, 2006.
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