Computational Problems Of Electrical Engineering. – 2012. – Vol. 2, No. 1

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/16278

The scientific-technical journal

Computational Problems of Electrical Engineering = Обчислювальні проблеми електротехніки : the scientific-technical journal / Lviv Politechnic National University ; editor-in-chief Yuriy Bobalo. – Lviv : Publishing House of Lviv Polytechnic National University, 2012. – Volume 2, number 1. – 154 р.

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    Scanning television optical microscope for biological microobjects research
    (Publishing House of Lviv Polytechnic National University, 2012) Shkliarskyi, Volodymyr; Prudyus, Ivan; Pedan, Anatoliy
    Ways of developing a scanning television microscope, which can be used for the investigation of biological microobjects, have been analyzed. The capabilities of the microscope are extended due to a raster formation in the television mode and little-frame mode. Ways of changing the raster size while maintaining the microobject image resolution have been proposed. Аналізуються шляхи побудови сканувального телевізійного мікроскопа, придатного до використання для дослідження біологічних мікрооб’єктів. Розширено можливості мікроскопа за рахунок формування сканувального растра в телевізійному та малокадровому режимах. Запропоновано шляхи зміни розміру растра при збереженні роздільної здатності зображення мікрооб’єкта.
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    Improved solution of Cramer-Rao lower bound for TOA/RSS localization
    (Publishing House of Lviv Polytechnic National University, 2012) Holotyak, Taras; Voloshynovskiy, Serhiy; Rolim, Jose; Prudyus, Ivan
    In this paper the problem of evaluation of the bound accuracy for range based localization techniques in wireless sensor networks is considered. The comprehensive analysis of the existing solution of the Cramer-Rao lower bound problem for the anchored localization based on the time of arrival or relative signal strength principles shows certain discrepancy between an analytical solution and simulation results. Therefore, a new bound for this problem has been developed on the basis of more accurate stochastic modeling of the localization error.