Essential DSP Implementation Techniques

Please click on the PDF below for a full course summary  

This course provides a foundation for Digital Signal Processing (DSP) techniques for Xilinx FPGAs. The course begins with a refresher of basic binary number theory, mathematics, and the essential features within the FPGA that are important to signal processing. The body of the course explores a variety of filter techniques with emphasis on optimal implementation in Xilinx devices and continues with an examination of FFTs, video, and image processing. Throughout the course, Xilinx cores and IP relevant to signal processing are introduced. The course is complemented by hands-on exercises to reinforce the concepts learned.

After completing this comprehensive training, you will have the necessary skills to:

• 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
• Recognize how both the CLB slices in FPGAs and the more advanced DSP48s are used to implement DSP algorithms
• Explain the dataflow through the device and how to use distributed memory, block RAM, registers, and SRLs to properly implement these designs
• Construct different FIR filter and FFT implementations and how to optimize these implementations in the FPGA
• Explain the algorithms for video and imaging systems and their implementations in FPGAs