Adaptive Algorithm for Interpretation of Low-frequency Noise DFT

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Title	Adaptive Algorithm for Interpretation of Low-frequency Noise DFT
Authors	Reschikoff, S.E.
ORCID
Keywords	спектральний аналіз спектральный анализ spectral analysis сімплекс-метод симплекс-метод simplex method
Type	Conference Papers
Date of Issue	2015
URI	http://essuir.sumdu.edu.ua/handle/123456789/41238
Publisher	Sumy State University
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Citation	Reschikoff, S.E. Adaptive Algorithm for Interpretation of Low-frequency Noise DFT [Текст] / S.E. Reschikoff // Інформатика, математика, автоматика : матеріали та програма науково-технічної конференції, м. Суми, 20-25 квітня 2015 р. / Відп. за вип. С.І. Проценко. — Суми : СумДУ, 2015. — С. 171.
Abstract	In the electronics low-frequency noise is often used for reliability estimation of semiconductor devices. Spectral power density of this noise proportional to 1/ f, where γ is the spectral exponent. In [1] shown, that for spectral analysis of non-white noise exists optimum resolution bandwidth. Total mean square error of the estimate is minimal when analysis filter bandwidth is optimum. In [1] it is shown that DFT could be represented as result of processing by filters with different bandwidths by means of frequency averaging.
Appears in Collections:	Наукові видання (ЕлІТ)