Essential DSP implementation techniques for AMD FPGAs

(ref.D_ESS)
TIME

2 days - 14 hours   

Target objectives and skills

  • 1 - Describe the advantages of using FPGAs over traditional processors for DSP designs, utilize fixed point binary arithmetic and identify how to use this knowledge to create efficient designs in FPGAs
  • 2 - Recognize how both the CLB slices in FPGAs and the more advanced DSP48s are used to implement DSP algorithms
  • 3 - Explain the dataflow through the device and how to use distributed memory, block RAM, registers, and SRLs to properly implement these designs
  • 4 - Construct different FIR filter and FFT implementations and how to optimize these implementations in the FPGA

Concerned public

  • Technicians and Engineers in Digital Electronics
  • All our training courses are given at a distance and are accessible to people with reduced mobility.
  • People with disabilities may have special training needs. Our partner AGEFIPH accompanies us to implement the necessary adaptations related to your disability. Don't hesitate to to discuss your requirements.agefiph

Prerequisites

  • Fundamental understanding of digital signal processing theory and an appreciation of the principles of the following :
    • Sample rates
    • FIR (Finite Impulse Response) and IIR (Infinite Impulse Response) filters
    • Oscillators and Mixers
    • FFT (Fast Fourier Transform) algorithm

Course content

Objective 1

  • Back to basics {Lecture}

Objective 2

  • Architecture of FPGAs {Lecture}
  • Mathematics of FPGAs {Lecture, Lab}

Objective 3

  • Shift registers, memory and application {Lecture, Lab}

Objective 4

  • The FIR filter {Lecture, Lab}

Objective 4

  • Advanced filtering techniques {Lecture, Lab}
  • The Fast Fourier Transform {Lecture, Lab}

Teaching methods and support - Assessment and recognition

  • Teaching methods :
    • Alternating lectures, technical questionnaires and exercises on individual machines.
  • Pedagogical follow-up :
    • Signed attendance sheet
  • Pedagogical assessment :
    • Continuous assessment and progress sheet :
      • Technical questionnaire
      • Practical work results
      • Validation of objectives
  • Satisfaction survey :
    • At the end of training: assessment form completed by the trainee
    • At 3 months: evaluation form completed by the trainee after application to the company
  • Certificate :
    • Training certificate with assessment of learning provided to trainee
    • Certificate of completion provided to employer

Teaching Methods

  • Inter-company online training :
    • Fast Internet connection, webcam, headset
    • Presentation by Webex by Cisco Webex de Cisco
    • Provision of course material in PDF format
    • Labs on individual Cloud PC by RealVNC REALVNC
  • Intra-company face-to-face training on customer site : (details to be confirmed prior to training)
    • Suggested supply by the customer :
      • Training room
      • Video projector
      • Whiteboard
      • Individual PC with AMD tools
    • Provided by MVD Training :
      • Course material in PDF format
      • Practical work on individual PCs (loan of equipment available on request)

Recommended computer hardware

  • Inter-company online training :
    • Recent computer OS Linux or Windows 64-bits
    • Fast Internet, webcam, headset
    • Software tool WebEx Cisco
    • AMD remote tools :
    • AMD local tools :
      • Software tool AMD Vivado
      • Software tool Matlab (or equivalent)
  • Face-to-face training on customer site :
    • Recent computer OS Linux or Windows 64-bits
    • Software tool AMD Vivado
    • Software tool Matlab (or equivalent)

Teaching staff

  • William Duluc, Electronics and Telecoms Engineer, AMD Expert since 2009 and AMD Trainer since 2017 :
    • Expert AMD FPGA - Language VHDL/Verilog - RTL Design
    • Expert AMD SoC & MPSoC - Language C/C++ - System Design
    • Expert DSP & AMD RFSoC – HLS - Matlab - Design DSP RF
    • Expert AMD Versal – AI Engines – Heteregenous System Architect

Certified Partner

xilinx atp

Notes

  • Release date: 15/11/2024