Learn Xilinx System Generator from Scratch from Udemy

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

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.

What's inside

Learning objectives

This course will help you learn how to use xilinx system generator using simulink.
Fundamentals of xsg

Basic xsg models
Image processing techniques

This course will help you learn how to use xilinx system generator using simulink.
Fundamentals of xsg
Basic xsg models
Image processing techniques

Syllabus

Introduction

Introduction to the course

Installation of MATLAB

Installation of Vivado

In this section you will learn the fundementals and most commonly used Xilinx blocks.

Sampling

Precision Arithmetic

Xilinx Blockset

System Generator Block

Constant & Gateway blocks

Demonstration of SineWave

In this section you will implement some of the basic models to build idea on using XSG.

Arithmetic operations

Logical operations

In this section you will how to process an image using XSG and implement various image processing techniques.

XOR Map

Image Negative

Image Thresholding

Image Enhancement

We shall implement a published paper "Image Encryption Using Stream Cipher Based on Chaotic Maps" using System Generator.

Logistic Map

Lozi Map

Tent Map

Cascade Map & Conclusion

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches the fundamentals of Xilinx System Generator (XSG), which is essential for FPGA programming using Simulink, bridging the gap between high-level design and hardware implementation

Covers the implementation of image processing techniques, offering practical applications of XSG in a field that benefits from FPGA acceleration and parallel processing

Requires installation of both MATLAB and Vivado, which may pose a barrier for some learners due to software costs and system requirements

Assumes no prior knowledge of XSG, making it accessible to beginners interested in learning FPGA programming with Simulink

Recommends basic knowledge of Digital Signal Processing (DSP), suggesting that learners without this background may find some concepts challenging

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Learn Xilinx System Generator from Scratch with these activities:

Review Digital Signal Processing Fundamentals

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Reinforce your understanding of DSP concepts, which are essential for understanding the image processing techniques covered in the course.

Browse courses on Digital Signal Processing

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Review key DSP concepts like sampling, quantization, and filtering.
Work through practice problems related to signal analysis and system design.

Practice Simulink Modeling

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Sharpen your Simulink skills to efficiently build and simulate models within the Xilinx System Generator environment.

Browse courses on Simulink

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Revisit Simulink tutorials and documentation.
Build simple models to simulate basic systems.
Experiment with different Simulink blocks and configurations.

Read 'Digital Signal Processing: Principles, Algorithms, and Applications' by John G. Proakis and Dimitris G. Manolakis

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Deepen your understanding of the underlying DSP principles used in Xilinx System Generator.

View Digital Signal Processing on Amazon

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Read the chapters related to filter design and signal analysis.
Work through the examples and exercises in the book.

Four other activities

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Implement Basic Arithmetic and Logical Operations in XSG

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Solidify your understanding of Xilinx System Generator blocks by implementing basic arithmetic and logical operations.

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Create Simulink models for addition, subtraction, multiplication, and division using XSG blocks.
Implement logical operations like AND, OR, and XOR using XSG blocks.
Simulate the models and verify the results.

Read 'FPGA Prototyping by VHDL Examples' by Pong P. Chu

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Gain a deeper understanding of the hardware implementation of Xilinx System Generator designs.

View FPGA Prototyping by VHDL Examples on Amazon

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Read the chapters related to basic FPGA architecture and VHDL coding.
Study the examples of implementing digital circuits in VHDL.

Create a Blog Post on Implementing a Specific Image Processing Technique in XSG

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Reinforce your learning by explaining a specific image processing technique implemented in Xilinx System Generator to others.

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Choose an image processing technique covered in the course, such as image thresholding or negative.
Document the steps involved in implementing the technique in XSG.
Write a blog post explaining the technique and the implementation details.
Include screenshots of the Simulink model and simulation results.

Develop a Custom Image Filter in XSG

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Apply your knowledge to design and implement a custom image filter using Xilinx System Generator.

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Research different image filtering techniques.
Design a custom image filter based on your research.
Implement the filter in XSG using Simulink blocks.
Test the filter on different images and evaluate its performance.

Career center

Learners who complete Learn Xilinx System Generator from Scratch will develop knowledge and skills that may be useful to these careers:

FPGA Engineer

An FPGA Engineer designs, develops, and tests digital circuits using Field Programmable Gate Arrays. This role often involves working with hardware description languages and tools like Xilinx System Generator, which this course focuses on. Understanding how to implement Simulink models using XSG, a core skill taught in this course, is directly applicable to the day-to-day activities of an FPGA Engineer. The course’s focus on generating parameterized cores and creating netlists will help build a foundation for designing complex FPGA systems. This course will be particularly helpful in developing the skills to move from high level design in Simulink to lower level implementations.

See salaries and explore the career path for FPGA Engineer

Embedded Systems Engineer

An Embedded Systems Engineer designs, develops, and tests software and hardware for embedded systems. These are systems that control machines and devices. This role often requires a deep understanding of both hardware and software, making knowledge of Xilinx System Generator particularly beneficial. The course teaches how to use XSG to implement Simulink models, which can then be deployed to FPGA platforms, which are common in many embedded systems. This course’s focus on generating optimized cores in Xilinx System Generator is important for efficient system design. The practical models and image processing techniques covered will help a professional in this role to be successful.

See salaries and explore the career path for Embedded Systems Engineer

Hardware Engineer

A Hardware Engineer designs and develops physical components of computer systems. This role often includes working with FPGAs and using tools like Xilinx System Generator to create digital circuits. This course is a great introduction to the fundamentals of XSG, and how to develop models in Simulink, which is highly relevant for a Hardware Engineer. The skills learned from implementing various designs from arithmetic to image processing techniques using XSG will help build a strong practical foundation. The processes of generating code, creating netlists, and working with IP cores, as practiced in this course, are directly applicable to this role.

See salaries and explore the career path for Hardware Engineer

Digital Signal Processing Engineer

A Digital Signal Processing Engineer develops algorithms and systems for analyzing, modifying, and synthesizing signals in the digital domain. This work often involves implementing algorithms and designs on FPGAs. This course provides hands-on experience using Xilinx System Generator to implement models, which is directly applicable to this work. The course's focus on working within the Simulink environment and generating cores optimized for Xilinx FPGAs can be very helpful in digital design work. The inclusion of image processing techniques in the curriculum will be helpful to this role by providing practical implementations of DSP concepts within a realistic application.

See salaries and explore the career path for Digital Signal Processing Engineer

Research Scientist

A Research Scientist applies scientific understanding to research and development. This role often involves experimenting with different hardware architectures and algorithms, which could include using FPGAs. This course, which focuses on using Xilinx System Generator to implement Simulink models, provides a practical skillset for rapid prototyping and testing. The course’s methodology of going from high level designs in Simulink to FPGA implementation provides a research mindset useful for experimental work. The skills gained from implementing image processing techniques and various system models in this course may be useful for many research projects, particularly those that involve signal processing. A masters degree or higher is often helpful for this role.

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Systems Engineer

A Systems Engineer focuses on the design and development of complex systems, integrating various components. This often involves using tools to model and simulate system behaviors. While not the primary tool, the skills gained from the course help build the background needed to perform this role. This course teaches how to use Xilinx System Generator with Simulink, which may be helpful for system modeling and implementation on FPGA platforms. This course's focus on developing models, generating code, and creating IP cores may be useful for engineers working on systems that involve FPGA components. The course's emphasis on practical implementation may help inform a System Engineer's understanding of system performance.

See salaries and explore the career path for Systems Engineer

Robotics Engineer

A Robotics Engineer designs, builds and tests robots and robotic systems. This role often involves working with embedded systems and digital signal processing, making knowledge of Xilinx System Generator valuable. This course teaches how to implement Simulink models using XSG, allowing designs to be deployed to FPGA hardware. The course’s focus on generating optimized cores is useful for many robotics platforms, and the knowledge of complex models like those in image processing taught in this course could be particularly beneficial. The course may be helpful in developing a hardware foundation for a robot control system.

See salaries and explore the career path for Robotics Engineer

Computer Vision Engineer

A Computer Vision Engineer develops algorithms and systems to enable computers to 'see' and interpret images and videos. This role sometimes involves implementing computer vision algorithms on hardware platforms such as FPGAs. This course teaches how to implement image processing techniques using Xilinx System Generator, which can be useful for this role. The skills gained from developing Simulink models to be deployed on FPGA platforms will help build a practical understanding of hardware implementation of computer vision algorithms. This course may be helpful for an engineer seeking to optimize computer vision pipelines.

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Software Engineer

While primarily focused on software, some Software Engineers work with hardware and FPGAs. This course may be useful for those wanting to bridge the gap between software and hardware. While the work is different, the course provides a look into hardware implementation using Xilinx System Generator. This course's focus on using Simulink and generating code for FPGA platforms may be useful in understanding the workflow of embedded systems development. The course’s practical approach and implementation of complex models may be helpful in building a more holistic understanding for a full stack developer.

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Test Engineer

A Test Engineer develops and executes tests to assess the quality and functionality of products or systems. This role could involve testing hardware designs and FPGA implementations. While not a direct fit, this course may be helpful in understanding how the underlying hardware is built and designed using Xilinx System Generator, giving insights that may be applicable in test development. The course’s focus on generating models and IP cores may be helpful in identifying points of failure. The course's emphasis on practical implementation may be useful when developing robust testing strategies.

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Technical Consultant

A Technical Consultant provides expert advice and guidance on technical matters to clients. This may involve working with different technologies and platforms, including FPGAs. While not a direct fit, this course may be useful for providing a foundational understanding of how Xilinx System Generator is used in FPGA development, and thus may be helpful in advising clients who use this technology. The course’s hands-on approach and practical implementation may inform a consultant's view of best practices for FPGA development. The course material on image processing and complex models provides technical depth that may be useful in providing advice.

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Technical Sales

A technical sales engineer sells complex hardware and software products to technical clients. This role may involve selling FPGA development tools, and this course may be useful in understanding the technical details of Xilinx System Generator. The course provides a practical look at using XSG with Simulink and may provide a good understanding of the user experience. The course's coverage of various models, from arithmetic to image processing, may help inform the sales conversations by providing a foundation in the tool's capabilities. This course may be helpful and thus enhance a salesperson's credibility.

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Field Application Engineer

A Field Application Engineer works directly with clients, providing technical support and expertise. This role involves understanding the application and implementation of the technologies used by clients, including FPGA tools. Although this role is more client facing, this course may be useful for gaining a practical understanding of using Xilinx System Generator. This course’s hands-on approach to developing models and generating code using XSG might help bridge the gap between the client and the technology. The focus on image processing may help in providing specific support to clients using FPGAs for vision systems.

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Application Engineer

An Application Engineer supports products and technologies by understanding how they are applied in real-world situations. This role could involve working with FPGA technology, and this course may be useful for demonstrating their development with Xilinx System Generator. The course provides a hands-on approach to XSG with practical models and image processing examples, which may be helpful when supporting products that involve FPGA systems. The processes of generating code, creating netlists, and working with IP cores, as practiced in this course, may help an Application Engineer understand the user's experience with the tool.

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Product Manager

A Product Manager guides the strategy and development of a product, leveraging their knowledge of the market and technology, and often working cross functionally with engineers. This course is not a direct fit, but may help a Product Manager understand the technical details involved in an FPGA based product. The course provides a practical look at using Xilinx System Generator for implementing models. The range of topics covered in this course, from basic models to complex image processing techniques, may be useful when understanding the possibilities of the technology. This course may be useful for understanding the technology and communicating more effectively with engineers.

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Learn Xilinx System Generator from Scratch

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