Essays about: "Field Programmable Gate Array FPGA"
Showing result 26 - 30 of 70 essays containing the words Field Programmable Gate Array FPGA.
-
26. Hardware acceleration of convolutional neural networks on FPGA
University essay fromAbstract : With the evolution of machine learning algorithms they are seeing a wider use in traditional signal processing applications. One of these areas is in radios for improved signal identification algorithms. READ MORE
-
27. 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
-
28. Active Phase Compensation in a Fiber-Optical Mach-Zehnder Interferometer
University essay from Linköpings universitet/InformationskodningAbstract : This thesis investigates the phenomena of phase stability in a fiber-optical MZI (Mach-Zehnder Interferometer). The MZI is a key building block of optical systems for use in experiments with both continuous-wave light and with single photons. READ MORE
-
29. A Digits-Recognition Convolutional Neural Network on FPGA
University essay from Linköpings universitet/DatorteknikAbstract : A convolutional neural network (CNN) is a deep learning framework that is widely used in computer vision. A CNN extracts important features of input images by perform- ing convolution and reduces the parameters in the network by applying pooling operation. READ MORE
-
30. Design Exploration of an FPGABased Face Detection ProcessingCore Utilizing High Level Synthesis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Achieving object detection with computer vision places high demands on hardware resources and energy. This becomes apparent when considering that applications like surveillance, autonomous vehicles, mobile and other similar applications, employ embedded systems with even greater restrictions on processing power and memory bandwidth. READ MORE
