Energy-efficient Event-driven Spiking Neural Network accelerator for FPGA with PyTorch integration
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Updated
May 1, 2026 - VHDL
Energy-efficient Event-driven Spiking Neural Network accelerator for FPGA with PyTorch integration
BSc Thesis: Design of Sound Source Localization System Based on FPGA and MEMS Microphone.
Reconfigurable Systems on Chip Mini Project
🏄 Custom IP for vector operations
3 stage pipeline implementation of a digital circuit that calculates DIT FFT in 8 points. It is made as an AXI-Lite Slave IP in AMD Vivado. It is successfully implemented in a block design that contains a Microblaze processor as the Master, an AXI Interconnect as the Bridge and the AXI-Lite FFT IP as Slave.
In this project I wanted to implement a microprocessor on an FPGA with the ability to write files onto an SD card (micro SD in particular) exploiting the Arty A7 development board and the Digilent PModSD.
Deep Learning Aided Radar Signal Processing on Zynq SoCs for Doppler Estimation with hardware (Zynq SoC IPs)
CPRE488 MP2 - 1080p HDMI video pipeline for Zynq using Vivado/Vitis—TPG→VDMA with GenLock→VTC→HDMI, plus YUV422 luminance processing and FMC I²C bring-up
2025. Working implementation on a PYNQ Z1/Z2 board (Latest release: Vivado 2024.2 & Vitis 2024.2)
FPU that does all the 4 fundamental arithmetic operations made as an AXI-Lite Slave IP in AMD Vivado. IEEE 754 was used. It can be successfully implemented on an Arty S7-50 FPGA board.
Audio mixer HW/SW project based on Zynq device and Zybo-Z7 board
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