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Showing result 21 - 25 of 96 essays matching the above criteria.
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21. A 1.8 ps Time-to-Digital Converter (TDC) Implemented in a 20 nm Field-Programmable Gate Array (FPGA) Using a Ones-Counter Encoding Scheme with Embedded Bin-Width Calibrations and Temperature Correction
University essay from Linköpings universitet/DatorteknikAbstract : This thesis investigates the use of field-programmable gate arrays (FPGAs) to implement a time-to-digital converter (TDC) with on-chip calibration and temperature correction.Using carry-chains on the Xilinx Kintex UltraScale architecture to create a tapped delay line (TDL) has previously been proven to give good time resolution. READ MORE
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22. Hardware Acceleration in the Context of Motion Control for Autonomous Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : State estimation filters are computationally intensive blocks used to calculate uncertain/unknown state values from noisy/not available sensor inputs in any autonomous systems. The inputs to the actuators depend on these filter’s output and thus the scheduling of filter has to be at very small time intervals. READ MORE
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23. Motorized testing framework for a computer vision application
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A successful design and implementation of a modern computer vision system, based on two moving cameras, requires a particular testing infrastructure to be in place. Two pairs of linear actuators, mounted on rigid aluminum frames, separated by a 90◦ angle, were assembled for this purpose. READ MORE
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24. Arbitrary Decimation for High Sample Rates, Algorithm Design and FPGA implementation
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : This master thesis investigates how to perform irrational decimation, the process of reducing the sample rate of a signal, for high throughput systems. The thesis work consists both an algorithmic part and an implementation part. READ MORE
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25. Acceleration of deep convolutional neural networks on multiprocessor system-on-chip
University essay from Uppsala universitet/Avdelningen för datorteknikAbstract : In this master thesis some of the most promising existing frameworks and implementations of deep convolutional neural networks on multiprocessor system-on-chips (MPSoCs) are researched and evaluated. The thesis’ starting point was a previousthesis which evaluated possible deep learning models and frameworks for object detection on infra-red images conducted in the spring of 2018. READ MORE