You’ve mastered the Z-transform. You can convolve signals in your sleep. You’ve even written MATLAB scripts to filter out noise from a sine wave. But then comes the dreaded question in an interview or lab session:
“That’s great—but can you implement that FIR filter on real hardware, running at 100 MHz, with zero software overhead?”
Silence.
That’s where most digital signal processing (DSP) courses stop. But the Xilinx University Program (XUP) DSP for FPGA Primer picks up exactly where theory ends—and silicon begins.
You inject test vectors (e.g., noise + tone from a MATLAB script) and verify output. The primer emphasizes self-checking testbenches. Xilinx University Program - DSP for FPGA Primer...
Free for Academia – The primer, labs, slides, and even reference designs are freely downloadable from the AMD XUP website. No corporate budget needed.
Zynq-Ready – Modern versions of the primer target the Zynq SoC (ARM + FPGA on one chip). You learn to partition algorithms: ARM for control & low-rate tasks, FPGA for high-throughput DSP. You’ve mastered the Z-transform
A distinguishing feature of the XUP DSP Primer is its reliance on Model-Based Design using MathWorks Simulink and the Xilinx System Generator for DSP.
Instead of writing raw code initially, students utilize a block-diagram approach. This method allows students to drag and drop functional blocks (adders, multipliers, filters) that map directly to Xilinx IP cores. You inject test vectors (e