
Learn to install Matlab from the official site, download, and activate it on Windows. The video guides product selection, licensing, and activation steps for setup.
Learn to implement addition, subtraction, multiplication, and division using System Generator blocks, explore full precision versus user-defined precision, and tune latency and pipelining for FPGA performance.
Explore image enhancement, a key image processing technique used to clarify x-ray images by boosting pixel values with a constant via system generator, including color channel considerations.
This lecture introduces the Lozi map, a two-state chaotic system with X and Y and parameters alpha and beta, explains its equations and chaos, and outlines a MATLAB image-processing implementation.
This course will teach you "What is XSG and How to implement Simulink models using the tool".
Xilinx System Generator is an FPGA programming tool developed by Xilinx. It is specifically focused on Xilinx FPGAs, enabling the developers to work in Simulink environment and to generate parameterized cores particularly optimized for Xilinx FPGAs. It acts like an interface between Simulink and FPGA environments. Since the modern technology depends on FPGA platform, simpler techniques are implemented to design complicated architectures.
As an initial process, a model is developed in Simulink using XSG tool. The XSG environment in Simulink is that of processed inside FPGA. After the model is developed, code is generated by the tool. This creates netlist and IP cores which can be opened in Vivado. The code can be simulated and synthesized and dumped into FPGA kit. Commercial FPGA kits available are Spartan 3E, ZNYQ, Cyclone etc.
This course assumes that viewers has no prior knowledge and everything will be taught from scratch. In this you will learn the fundamentals of XSG tool and how to develop models in Simulink. I recommend you to have a basic knowledge on Digital Signal Processing. In this course you will learn:
Fundamentals of XSG
Implementation of some basic models using XSG and Simulink.
Implementation of complex models like Image processing techniques and so on.