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FPGA Design with MATLAB & Simulink

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Based on 189 ratings
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Digitronix Nepal

This Course will let you know about "How to Design FPGA based Signal Processing Projects on MATLAB/Simulink".

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This Course will let you know about "How to Design FPGA based Signal Processing Projects on MATLAB/Simulink".

This course is on Designing FPGA based Signal Processing Projects with MATLAB/Simulink and FPGA Design Tool (Xilinx VIVADO/ISE), we are going to use Xilinx System Generator (interface between MATLAB/Simulink and VIVADO/ISE) and HDL Coder. From this two tools we can design our projects on traditional MATLAB/Sumilink design flow; using Blocks and integrating blocks in Simulink or using MATLAB codes and finally converting this two types of design in to HDL or into Bitstream so we can program FPGA from MATLAB/Simulink or VIVADO/ISE.

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MATLAB & Simulink are the best tools for Signal Processing Projects, while FPGA are best hardware platform for such type of Signal Processing Projects cause of it's flexibility and processing capabilities.

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What's inside

Learning objectives

  • Fpga development with matlab and simulink tool.
  • Creating projects with system generator and hdl coder
  • Implementing fir and iir filter on fpga from system generator
  • Implementation of ofdm modulation on fpga
  • Zynq fpga design with matlab/simulink (system generator)
  • Lms filter design with hdl coder from matlab

Syllabus

Section_1 Installation of Matlab/Simulink and VIVADO/ISE

How to Download and Install MATLAB/Simulink and VIVADO or ISE. This lecture tells you about the version compatibility of MATLAB/Simulink and VIVADO or ISE.

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This session introduces the Matlab/Simulink, System Generator, HDL Coder and HDL Verifier tools for FPGA Design. We also have some basic design flow and its features on this lecture.

This session much elaborate about the System Generator and different block available at System Generator for FPGA Design, System Generator based different design Flow.

Overview on System Generator, Basic project design methodology with system generator. We have lab session on this Section which are

-Lab 31: Basic System Generator Design for FFT

-Lab 32: Creating JTAG Configuration for FPGA Board in System Generator

This Lab is on basic FFT based design with System Generator. This lab session includes "How to include FFT block on System Generator, configure it, integrate other system generator blocks as gateways , wavescope on the design".

This Lab session is on How to create JTAG configuration for uploading/dumping Sys Gen based Design on Hardware Co-Simulation Method to FPGA. We have showed up the "Creating JTAG Configuration for the Previous Project targeting Spartan 3E FPGA ".

An overview of HDL Coder, IP core, HDL coder configuration with ISE as well as VIVADO has been introduced here. We also have details of LMS IP core design steps on Simulink.

This is the Lab session on HDL Coder, this lab session is on "Least Mean Square-LMS Filter Design with HDL Coder". The necessary resources (project sources) are already attached with this Video. You have to go through that sources and locate on Matlab/Simulink as workspace.

This lab is on Designing FIR Filter for Audio Processing with System Generator. You can take any audio from your local drive and process as shown in this lab session.

This Session is on Design, Simulation and Implementation of OFDM (Orthogonal Frequency Domain Multiplexing) on System Generator and Targeting Spartan 3E FPGA.

This session is on designing remaining receiver section from the previous lab and simulating the OFDM system on System Generator.

Implementing the Zedboard XADC and Pmod DA2 [DAC] on System generator for the interfacing project!

This lecture is overview session of "Vitis Model Composer(VMC)" which is available after 2021  or later version of Vitis/VIVADO. After 2020 version VIVADO comes inside Vitis Tool Suite. The previous extension of VIVADO with MATLAB+Simulink is System Generator while new version is called "Vitis Model Composer".

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Uses Xilinx System Generator and HDL Coder, which are industry-standard tools for designing and implementing signal processing algorithms on FPGAs
Covers the implementation of FIR and IIR filters, which are fundamental building blocks in digital signal processing applications
Explores OFDM modulation, a widely used technique in wireless communication systems, offering practical knowledge for modern communication applications
Focuses on Xilinx VIVADO/ISE, which may require learners to acquire a license or use specific hardware, potentially adding to the overall cost
Uses Spartan 3E FPGA, which may be an older hardware platform, potentially limiting the applicability of the designs to modern FPGAs
Introduces Vitis Model Composer, suggesting that learners may need to update their software to VIVADO 2021 or later to fully utilize the course content

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Reviews summary

Fpga design with matlab & simulink reviews

According to learners, this course offers a valuable introduction to designing FPGA-based signal processing projects by focusing on the integration of MATLAB and Simulink with hardware tools like System Generator and HDL Coder. Students generally find the course content and the instructor's knowledge to be beneficial, especially appreciating the inclusion of practical examples and labs such as filter design and OFDM implementation. However, a frequently mentioned significant obstacle is the process of software installation and ensuring tool compatibility, which many found frustrating. While the course fills a specific niche need, prospective students should be aware that it requires some prior knowledge of both FPGA concepts and digital signal processing to fully grasp the material.
Not for complete beginners in the field.
"This course assumes some prior knowledge of both FPGA architecture and digital signal processing concepts."
"I would not recommend this course if you are an absolute beginner in either FPGA or DSP."
"You need a foundational understanding before diving into this material; it's not an intro to FPGAs."
Covers specific tool integration.
"This course fills a unique and valuable niche focusing on System Generator and HDL Coder integration."
"It's hard to find resources that effectively cover using these specific tools together like this course does."
"The specific focus on MATLAB/Simulink for FPGA signal processing was exactly what I was looking for."
Hands-on labs with real applications.
"The practical examples and labs, like the filter design, were helpful and hands-on."
"Implementing the OFDM example was challenging but very rewarding and demonstrated real application."
"I appreciated the hands-on nature of the labs using System Generator and HDL Coder."
Learn to use MATLAB/Simulink for FPGA.
"This is a great course for learning how to effectively use System Generator with MATLAB for design."
"It provided an excellent practical introduction to integrating Simulink with FPGA design flows."
"I learned how to use MATLAB/Simulink tools for FPGA signal processing which is very useful."
Software setup can be frustrating.
"Getting the necessary software installed was a major headache and took significant time."
"I found the instructions for tool installation confusing and had compatibility issues."
"The biggest hurdle to starting the course was navigating the complex software setup process."

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 FPGA Design with MATLAB & Simulink with these activities:
Review Digital Signal Processing Fundamentals
Reinforce your understanding of core DSP concepts like sampling, filtering, and the Z-transform. A solid grasp of these fundamentals is crucial for effectively using MATLAB/Simulink for FPGA design.
Browse courses on Digital Signal Processing
Show steps
  • Review your notes and textbooks on DSP fundamentals.
  • Work through practice problems related to digital filters and signal analysis.
  • Watch online lectures or tutorials on DSP topics you find challenging.
Review Digital Signal Processing Fundamentals
Reinforce your understanding of core DSP concepts like sampling, quantization, and filtering. A solid grasp of these fundamentals is crucial for effective FPGA-based signal processing design.
Browse courses on Digital Signal Processing
Show steps
  • Review lecture notes or textbooks on DSP fundamentals.
  • Work through practice problems related to sampling, quantization, and filtering.
  • Familiarize yourself with the Z-transform and its applications.
Read 'Effective Coding with VHDL'
Gain insights into writing efficient VHDL code, which can be helpful for understanding the HDL code generated by System Generator and HDL Coder. This knowledge can aid in debugging and optimization.
View Effective Coding with VHDL: Principles and Best... on Amazon
Show steps
  • Read the chapters on coding styles and optimization techniques.
  • Compare the book's recommendations with the HDL code generated by the tools used in the course.
  • Experiment with different coding styles to see their impact on performance.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Read 'Digital Signal Processing with Field Programmable Gate Arrays'
Gain a deeper understanding of FPGA-based DSP implementation techniques. This book provides practical insights and examples that complement the course's theoretical concepts.
View Digital Signal Processing with Field... on Amazon
Show steps
  • Read the chapters relevant to filter design and implementation.
  • Study the examples of DSP algorithms implemented on FPGAs.
  • Compare the book's approach to the methods taught in the course.
Read 'Digital Signal Processing with Field Programmable Gate Arrays'
Gain a deeper understanding of the practical aspects of implementing DSP algorithms on FPGAs. This book provides valuable insights into filter design, transforms, and adaptive signal processing.
View Digital Signal Processing with Field... on Amazon
Show steps
  • Read the chapters relevant to the course topics.
  • Work through the examples and exercises in the book.
  • Compare the book's approach to the methods taught in the course.
Implement Basic Filters in Simulink
Solidify your understanding of filter design by implementing various filter types in Simulink. This hands-on practice will improve your ability to translate theoretical concepts into practical designs.
Show steps
  • Design a low-pass, high-pass, and band-pass filter using Simulink's filter design tools.
  • Simulate the filters with different input signals and analyze their frequency response.
  • Compare the performance of different filter implementations.
Implement Basic FIR Filters in Simulink
Solidify your understanding of FIR filter design and implementation in Simulink. This hands-on practice will prepare you for more complex filter designs later in the course.
Show steps
  • Design FIR filters with different specifications (e.g., lowpass, highpass, bandpass).
  • Implement the filters in Simulink using the Filter Design Toolbox.
  • Simulate the filters with various input signals and analyze the output.
Document Your Filter Design Process
Improve your understanding of filter design by documenting your design choices and the reasoning behind them. This will also help you communicate your designs to others.
Show steps
  • Choose a filter design project (e.g., noise reduction, audio equalization).
  • Document the design specifications, filter type, and design parameters.
  • Explain the rationale behind your design choices.
  • Include simulation results and performance analysis.
FPGA-Based Audio Equalizer Project
Apply your knowledge of FPGA design and signal processing to create a practical audio equalizer. This project will challenge you to integrate multiple concepts and tools learned in the course.
Show steps
  • Design the equalizer architecture in Simulink.
  • Implement the design on an FPGA using System Generator or HDL Coder.
  • Test the equalizer with various audio signals and evaluate its performance.
  • Optimize the design for resource utilization and performance.
Contribute to an Open-Source FPGA Project
Deepen your understanding of FPGA design by contributing to a real-world open-source project. This will expose you to different design styles, tools, and challenges.
Show steps
  • Find an open-source FPGA project that aligns with your interests.
  • Study the project's codebase and documentation.
  • Identify a bug or feature to work on.
  • Contribute your code or documentation to the project.

Career center

Learners who complete FPGA Design with MATLAB & Simulink will develop knowledge and skills that may be useful to these careers:
FPGA Engineer
An FPGA Engineer designs, develops, and tests systems using Field Programmable Gate Arrays. This course is highly relevant, focusing on practical FPGA projects using MATLAB and Simulink, which are essential tools in this field. You will learn how to implement signal processing algorithms, including FIR and IIR filters and OFDM modulation, on FPGAs. The course provides a deep dive into using Xilinx System Generator and HDL Coder, crucial for converting designs into hardware. This learning is directly applicable to real world FPGA engineering tasks, making this course an excellent choice for beginning or advancing in this career.
See salaries and explore the career path for FPGA Engineer
Signal Processing Engineer
A Signal Processing Engineer develops algorithms and systems for processing signals such as audio, video, or radar. This course helps build a strong foundation in implementing signal processing techniques in hardware, focusing on FPGA implementation using MATLAB/Simulink, a valuable skillset. The course’s content, such as FIR filter and OFDM design, directly translates to the work of a Signal Processing Engineer. The course's emphasis on both design and implementation on FPGA makes it directly relevant to an engineer looking to implement solutions to signal processing problems. With the course's detailed coverage of Xilinx System Generator and HDL Coder, one can immediately make progress in this career.
See salaries and explore the career path for Signal Processing Engineer
Embedded Systems Engineer
An Embedded Systems Engineer designs, develops, and tests embedded systems, often involving hardware and software integration. This course is highly beneficial because it provides practical experience in designing and implementing signal processing hardware on FPGAs using MATLAB/Simulink, a fundamental skill. The learning on HDL Coder and Xilinx System Generator, essential for FPGA development, prepares one to create custom hardware implementations. This course uniquely merges theoretical signal processing concepts with hands on hardware applications, creating a valuable resource for aspiring embedded systems engineers.
See salaries and explore the career path for Embedded Systems Engineer
Hardware Engineer
A hardware engineer designs, develops, and tests computer hardware components and systems. This course is useful, as it lets the learner create designs that are implemented on hardware, specifically FPGAs through MATLAB and Simulink. The course's focus on implementation using System Generator and HDL Coder provides a practical approach to translating ideas into physical implementations, a core part of a hardware engineer's work. The learner can study various design concepts, such as filters. Therefore, the course will help the hardware engineer understand design from high level specification down to hardware implementation.
See salaries and explore the career path for Hardware Engineer
Digital Design Engineer
A Digital Design Engineer designs and develops digital circuits and systems, often working with FPGAs or ASICs. This course may be useful, as it covers the use of MATLAB and Simulink to design and implement digital signal processing projects on FPGAs. The course provides hands on experience with Xilinx System Generator and HDL Coder, which are essential tools for a digital design engineer focusing on hardware implementations. The course will be useful to a digital engineer who needs to be able to design, simulate, and implement digital designs on FPGAs.
See salaries and explore the career path for Digital Design Engineer
Systems Engineer
A Systems Engineer focuses on the overall design and integration of complex systems. This course may be useful for systems engineers who deal with hardware integration, as it focuses on the implementation of signal processing systems on FPGAs using MATLAB and Simulink. The hands-on experience with Xilinx System Generator and HDL Coder allows you to translate high-level designs into hardware implementations, which can be valuable. You will learn to integrate various components and design flow within a larger system. Therefore, this course is beneficial for systems engineer with interest in hardware system implementation.
See salaries and explore the career path for Systems Engineer
Research Engineer
A Research Engineer conducts research and development in engineering disciplines. This course may be useful to a Research Engineer who is focusing on signal processing or embedded systems, as this course provides experience in implementing advanced signal processing algorithms on FPGAs using MATLAB and Simulink. The course emphasizes hands-on design with Xilinx System Generator and HDL Coder, which are tools used in research and development. If a research project involves FPGA implementation of algorithms, this course is highly relevant, as it covers both design and hardware implementation.
See salaries and explore the career path for Research Engineer
Robotics Engineer
A Robotics Engineer designs, develops, and tests robots and robotic systems. This course may be useful, as many robotic applications require implementing real time signal processing or embedded systems on hardware. This course allows you to learn to create systems using FPGA with MATLAB and Simulink. The course covers design and hardware implementation of various concepts including filter design and modulation. If you need to implement signal processing on FPGAs for a robotic application, the course will enhance your skills.
See salaries and explore the career path for Robotics Engineer
Aerospace Engineer
An Aerospace Engineer designs and develops aircraft, spacecraft, and related systems. This course may be useful, as some aerospace applications require implementing signal processing or control systems on FPGAs. The course provides an introduction to designing such systems using MATLAB and Simulink, with implementation on FPGAs via System Generator and HDL Coder. These tools can be used to create and test systems that are often present in aerospace technology; therefore, this course may be useful to Aerospace Engineers in these scenarios.
See salaries and explore the career path for Aerospace Engineer
Telecommunications Engineer
A Telecommunications Engineer designs and develops communication systems and networks. This course may be useful, as telecommunications systems often involve signal processing and hardware implementation. The course will guide you through designing such systems on FPGAs using MATLAB and Simulink, including hands on experience with Xilinx System Generator and HDL Coder. The course covers concepts such as OFDM modulation, which is used in telecommunications. Thus, this course may be helpful in your learning.
See salaries and explore the career path for Telecommunications Engineer
Electrical Engineer
An Electrical Engineer designs, develops, and tests electrical equipment and systems. This course may be useful, as it focuses on designing and implementing digital systems with FPGAs, which is a specialization within electrical engineering, using MATLAB and Simulink. The course’s tools, including System Generator and HDL Coder, are used in digital hardware design. The course provides practical skills such as designing filters and implementing modulation schemes, which an electrical engineer might use. Therefore, this course may be useful to an electrical engineer.
See salaries and explore the career path for Electrical Engineer
Control Systems Engineer
A Control Systems Engineer designs, develops, and implements control systems for various applications. This course may be useful as control systems often require real time embedded processing. The course will help such an engineer design and implement digital signal processing systems on FPGAs using MATLAB and Simulink. The course's coverage of implementation, through System Generator and HDL coder, demonstrates important concepts that are utilized by Control Systems Engineers. Therefore, this course may be helpful to those looking to enter this career field.
See salaries and explore the career path for Control Systems Engineer
Electronic Design Automation Engineer
An Electronic Design Automation Engineer develops and maintains software tools for designing electronic systems. This course may be useful, as it provides hands-on experience with tools such as MATLAB/Simulink, System Generator, and HDL Coder used in electronic design. The course gives an overview of how these systems work, which is useful for Electronic Design Automation Engineers who might maintain or build such systems. The course's emphasis on transforming design to implementation may be helpful. Therefore, an Electronic Design Automation Engineer may find this course useful.
See salaries and explore the career path for Electronic Design Automation Engineer
Software Engineer
A Software Engineer develops and maintains software applications. This course may be useful, as it introduces concepts of hardware implementation with FPGAs using tools such as MATLAB and Simulink. While the primary role of a software engineer is not hardware design, courses that enable an understanding of hardware is valuable. Therefore, this course may be useful to a software engineer who wants to learn more about how software implementations translate to hardware. The exposure to System Generator and HDL Coder, however, may help software engineers better communicate with hardware engineers.
See salaries and explore the career path for Software Engineer
Data Scientist
A Data Scientist analyzes and interprets complex data sets for business or research purposes. This course does not directly align with a data scientist’s core responsibilities, however, the course may be useful for those who are working with hardware acceleration for machine learning. The course introduces concepts of hardware acceleration with FPGAs through MATLAB/Simulink and associated tools. Therefore, this course may be useful to a data scientist, if their work entails using FPGAs for data processing.
See salaries and explore the career path for Data Scientist

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in FPGA Design with MATLAB & Simulink.
Cover image
Digital Signal Processing with Field Programmable...
Save
Provides a comprehensive guide to implementing DSP algorithms on FPGAs. It covers various topics, including filter design, transforms, and hardware architectures. This book is particularly useful for understanding the practical aspects of FPGA-based DSP and complements the course material by providing real-world examples and case studies. It serves as a valuable reference for designing and implementing signal processing systems on FPGAs using MATLAB/Simulink.
Digital Signal Processing with Field Programmable...
Paperback
Check
Digital Signal Processing with Field Programmable...
Kindle Edition
Check
Cover image
Effective Coding with VHDL
Save
Focuses on writing efficient and maintainable VHDL code for FPGA implementation. It covers various coding styles, optimization techniques, and verification methods. While the course focuses on MATLAB/Simulink, understanding the underlying HDL code generated by the tools can be beneficial for debugging and optimization. This book is more valuable as additional reading than it is as a current reference.
Effective Coding with VHDL: Principles and Best...
Hardcover
$$$

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Rating
4.2 Filled star Filled star Filled star Filled star Empty star
Effort
3 total hours
Via
Udemy
Instructor
Digitronix Nepal
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Uses Xilinx System Generator and HDL Coder, which are industry-standard tools for designing and implementing signal processing algorithms on FPGAs
Covers the implementation of FIR and IIR filters, which are fundamental building blocks in digital signal processing applications
Explores OFDM modulation, a widely used technique in wireless communication systems, offering practical knowledge for modern communication applications
Focuses on Xilinx VIVADO/ISE, which may require learners to acquire a license or use specific hardware, potentially adding to the overall cost
Uses Spartan 3E FPGA, which may be an older hardware platform, potentially limiting the applicability of the designs to modern FPGAs
Introduces Vitis Model Composer, suggesting that learners may need to update their software to VIVADO 2021 or later to fully utilize the course content
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