implemented on a field-programmable gate array (FPGA), and the neural delays are extracted via an adaptation of the synapto …-dendritic kernel adapting neuron (SKAN) model, for a low resource demanding FPGA implementation of the SNN. A custom robotic platform …

estimation in order to quantify the FPGA approach. A mathematical model has been presented that estimates the maximum number of … design an area modeling approach for FPGA based implementation at an early stage of design. The equation based area …

project, it will be designed and realized OBDH-based on FPGA (Field Programmable Gate Array). Because FPGA has many advantages … over commonly used conventional microcontroller. In the development of space technology implementation for FPGA resistant … computational capability, low power consumption, small hardware size, and many others. FPGA-based OBDH in this thesis are designed …