DSP FPGA using Xilinx Model Composer
This course allows you to explore the Model Composer tool and to gain the expertise you need to develop advanced, low-cost Digital Signal Processing designs.
This intermediate course in implementing DSP functions focuses on learning how to use Model Composer for DSP, design implementation tools and hardware co-simulation verification. Through hands-on exercises, you will implement a design from algorithm concept to hardware verification by using Xilinx FPGA capabilities.
Who Should Attend?
System engineers, system designers, logic designers and experienced hardware engineers interested in DSP design training who are implementing DSP algorithms using the MathWorks MATLAB® and Simulink® software and want to use Xilinx Model Composer for DSP design.
Prerequisites
- Basic understanding of signal processing theory.
- Advantage if, experience with the MATLAB and Simulink software.
Skills Gained
After completing this comprehensive training, you will know how to:
- Describe the Model Composer design flow for implementing DSP functions
- Identify Xilinx FPGA capabilities and implement a design from algorithm concept to hardware simulation
- List various low-level and high-level functional blocks available in Model Composer
- Run hardware co-simulation
- Identify the high-level blocks available for FIR and FFT designs
- Implement multi-rate systems in Model Composer
- Integrate Model Composer models into the Vivado IDE
- Design a processor-controllable interface using Model Composer for DSP
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