: Implementation of Numerically Controlled Oscillators (NCOs), QAM transceivers, and digital downconverters (DDC). Advanced Algorithms
: Moving from conceptual DSP models (often in MATLAB or Simulink) to functional FPGA bitstreams.
) filters, including optimal implementation techniques using Xilinx-specific resources. Transformations: Practical implementation of Fast Fourier Transforms (
We love floats because they are easy. FPGAs love integers because they are fast. The primer dedicates a solid chapter to fixed-point math: understanding binary scaling, overflow, and quantization noise. It taught me that a well-placed shift register is often better than a complex floating-point divider.
For advanced readers, the primer touches on the RFSoC family, which integrates ADCs and DACs running at 4+ GSPS. This is the ultimate DSP-for-FPGA use case: Direct RF sampling without analog mixers.