DSP Design Using System Generator

NOTE: DSP core modules are now taught as DAY 1 in our Vitis Model Composer: A MATLAB and Simulink-based Product. Please view that class for available dates.

COURSE CODE: DSP-SYSGEN

Explore the Model Composer and System Generator tool and gain the expertise needed to develop advanced, low-cost DSP designs.

This course focuses on:

  • Implementing DSP functions using System Generator for DSP
  • Utilizing design implementation tools
  • Verifying through hardware co-simulation

For more about the System Generator for DSP, click here.

See Course Outline

2-Day Instructor-led CoursePrice USDTraining Credits
Hosted Online - $600/day$120012
In-Person Public Registration - $600/day$120012
Printed Course Book (A PDF book is included in the course fee)$1001
Private TrainingLearn MoreLearn More
CoachingLearn MoreLearn More

Scheduled Classes

No Scheduled Sessions - Contact Us to ask about setting one up!

See available dates for the Vitis Model Composer course

Training Duration:

2 Days

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Who should attend:

System engineers, system designers, logic designers, and experienced hardware engineers who are implementing DSP algorithms using the MathWorks MATLAB and Simulink software and want to use Xilinx System Generator for DSP design.

Software Tools

  • Vivado Design Suite System Edition
  • Model Composer and System Generator
  • Vitis HLS tool 2020.2
  • Vitis unified software platform
  • MATLAB with Simulink software

Hardware

  • Architecture: 7 series and UltraScale FPGAs
  • Demo board: Kintex UltraScale FPGA KCU105 board and Zynq UltraScale+ MPSoC ZCU104 board

Skills Gained

After completing this comprehensive training, you will know how to:

  • Describe the System Generator design flow for implementing digital signal processing (DSP) functions
  • Identify Xilinx FPGA capabilities and how to implement a design from algorithm concept to hardware simulation
  • List various low-level and high-level functional blocks available in System Generator
  • Run hardware co-simulation
  • Identify the high-level blocks available for FIR and FFT designs
  • Implement multi-rate systems in System Generator
  • Integrate System Generator models into the Xilinx Vivado IDE
  • Design a processor-controllable interface using System Generator for DSP
  • Generate IPs from C-based design sources for use in the System Generator environment
  • Create and simulate designs using Model Composer

Course Outline

Day 1Day 2
  • Introduction to System Generator
  • Simulink Software Basics
  • LAB: Using the Simulink Software
    Learn how to use the toolbox blocks in the Simulink software and design a system. Understand the effect sampling rate.
  • Basic Xilinx Design Capture
  • Demo: System Generator Gateway Blocks
  • LAB: Getting Started with Xilinx System Generator
    Illustrates a DSP48-based design. Perform hardware co-simulation verification targeting a Xilinx evaluation board.
  • Signal Routing
  • LAB: Signal Routing
    Design padding and unpadding logic by using signal routing blocks.
  • Implementing System Control
  • LAB: Implementing System Control
    Design an address generator circuit by using blocks and Mcode.
  • Multi-Rate Systems
  • LAB: Designing a MAC-Based FIR
    Using a bottom-up approach, design a MAC-based bandpass FIR filter and verify through hardware co-simulation by using a Xilinx evaluation board.
  • Filter Design
  • LAB: Designing a FIR Filter Using the FIR Compiler Block
    Design a bandpass FIR filter by using the FIR Compiler block to demonstrate increased productivity. Verify the design through hardware co-simulation by using a Xilinx evaluation board.
  • System Generator, Vivad Design Suite, and Vivado HLS Integration
  • LAB: System Generator and Vivado IDE Integration
    Embed System Generator models into the Vivado IDE.
  • Kintex-7 FPGA DSP Platforms
  • LAB: System Generator and Vivado HLS Tool Integration
    Generate IP from a C-based design to use with System Generator.
  • LAB: AXI4-Lite Interface Synthesis
    Package a System Generator for DSP design with an AXI4-Lite interface and integrate this packaged IP into a Zynq® All Programmable SoC processor system.

Please note: The instructor may change the content order to provide a better learning experience.

Prerequisites:

  • Experience with the MATLAB and Simulink software
  • Basic understanding of sampling theory

Related Courses:

Updated 8-18-2024
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