THE EFFECT OF SENSITIZATION ON PHAGOCYTIC ACTIVITY OF PSEUDOEOSINOPHIL (NEUTROPHIL) GRANULOCYTES IN GUINEA PIGS AGAINST THE BACKGROUND OF THYMECTOMY

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UREA AND SERUM PROTEINS IN CIRCUMSCRIBED PROFOUND BURN ON COMBINED TREATMENT

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PROTEIN AND MINERAL METABOLISM IN LIMITED PROFOUND BURNS

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INVESTIGATIONS OF YERSINIOSIS IN HUMANS AND SOME FARM ANIMALS IN THE VARNA DISTRICT

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EOG signal measurement method over an interval using overlapping timewindows

У тези је предложена метода мерења ЕОГ сигнала на интервалу са преклапањем временских прозора, која представља модификацију дигиталне стохастичке методе мерења (ДСММ). Хардвер којим се предложена метода може имплементирати заснован је на рачунарској платформи и микроконтролерској структури. Метода је испитана бројним симулацијама и експериментима. Хипотеза ове тезе – да модел мерења ЕОГ сигнала на интервалу са преклапањем временских прозора омогућава пројектовање ЕОГ мерног уређаја који је отпорнији на утицај шума него ЕОГ мерни уређаји засновани на класичном дигиталном мерењу – потпуно је потврђена.U tezi je predložena metoda merenja EOG signala na intervalu sa preklapanjem vremenskih prozora, koja predstavlja modifikaciju digitalne stohastičke metode merenja (DSMM). Hardver kojim se predložena metoda može implementirati zasnovan je na računarskoj platformi i mikrokontrolerskoj strukturi. Metoda je ispitana brojnim simulacijama i eksperimentima. Hipoteza ove teze – da model merenja EOG signala na intervalu sa preklapanjem vremenskih prozora omogućava projektovanje EOG mernog uređaja koji je otporniji na uticaj šuma nego EOG merni uređaji zasnovani na klasičnom digitalnom merenju – potpuno je potvrđena.EOG signal measurement method over an interval using overlapping time windows, which represents the modification of the digital stochastic measurement method (DSMM), has been proposed in this thesis. The hardware that can implement the proposed method is based on a computer platform and a microcontroller structure. The method has been tested with numerous simulations and experiments. Hypothesis of this thesis - the model of EOG signal measurement over an interval using overlapping time windows allows a design of EOG measuring device more resistant to the noise impact than the EOG measuring devices based on classical digital measurement - has been fully confirmed

REDUCTION OF GIBBS PHENOMENON IN EOG SIGNAL MEASUREMENT USING THE MODIFIED DIGITAL STOCHASTIC MEASUREMENT METHOD

The method of digital stochastic measurement is based on stochastic analog-to-digital conversion, with a low-resolution A/D converters and accumulation. This method has been mainly tested and used for the measurement of stationary signals. This paper presents, analyses and discusses a simulation model development for an example of electrooculography (EOG) signal measurement in the time domain. Tests were carried out without adding a noise, and with adding a noise with various level of signal-to-noise ratio. For these values of signal-to-noise ratio, the mean and maximal relative errors are calculated and the significant influence of Gibbs phenomenon is noticed. In order to eliminate Gibbs phenomenon and decrease measurement error, a modified stochastic digital measurement method with overlapping measurement intervals has been developed and applied. On the basis of obtained results, the possibility of design and realization of an instrument with sufficient accuracy benefiting from the hardware simplicity of the method has been formulated. Also, the idea for the future research for developing a simulation model with a lower sampling frequency and implementing the proposed method is outlined

Stochastic Digital Measurement Method and Its Application in Signal Processing

Classical measurement approach is often described as a process of discretizing an analogue signal in order to easily process it in some type of digital signal processor. Although this approach has been considered to be universally applicable, practical experience has shown that some signals (e.g. fast and/or noisy signals) cannot be always precisely measured. To overcome this problem, in the late 1990s, a new measurement approach called stochastic digital measurement method (SDMM) was presented. At the beginning, this method was intended for high-precision measurements of the integral (the mean value) of a product of two signals. However, in the late 2000s, it was shown that SDMM can be used to compute the Discrete Fourier Transform (DFT). Compared to the classical DFT/FFT processors, SDMM-based ones have two important advantages: first, they are much simpler and cheaper to implement, and second, they allow us to compute individual DFT components either in isolation or in parallel. This chapter is a review of the evolution of SDMM with a special emphasis on a two-bit SDMM. Topics covered include: theoretical foundations of SDMM, the architecture of SDMM-DFT processor and an example of prototype instrument used in power grid networks.This is the peer-reviewed version of the chapter: Radonjić, A., Sovilj, P., Đorđević Kozarov, J., Vujičić, V., 2019. Stochastic Digital Measurement Method and Its Application in Signal Processing, in: Advances in Engineering Research. Volume 27. Nova Science Publishers, Hauppauge, pp. 169–190. ISBN 978-1-5361-4803-