It dedicates significant space to the "binary point." It teaches quantization error, truncation vs. rounding, and saturation logic—without which your digital filter will silently clip or oscillate.
Most DSP algorithms are conceived in floating-point (decimal) math. The primer guides engineers through the conversion to , which uses less hardware resources and consumes significantly less power while maintaining acceptable precision. 3. Sampling and Filtering Xilinx University Program - DSP for FPGA Primer...