having a go at some DSP on an FPGA. I'm basing the design on this paper:

http://www.comm.toronto.edu/~dimitris/ece431/slidingdft.pdf

This is a sliding discrete Fourier transform. It requires two real adds and one complex multiply per frequency bin. The transform is run for every new sample taken.

• make list - compute the twiddle factor tables
• make show-sdft - use yosys show to see how the design is inferred
• make debug-sdft - use iverilog, vvp and gtkwave to show the results of the testbench
• make read-sdft-vcd - after vcd generated, use Python script to read the vcd and plot the last set of results computed
• make model-sdft - model sdft in python and compare against numpy's fft
• make - build everything
• make prog - program the icestick

• Read the resources
• Implement HDL twiddle factor ROM
• Implement an SDFT in Python using the same pattern
• Why doesn't makefile build from scratch? - missing a file
• Why do freq bin regs overflow almost immediately in the testbench? scaling
• How to do scaling - the twiddle factors are scaled to fill the hole register so things overflow quickly, divide by 127
• Why doesn't pnr work? - it does, but the module wasn't being used so yosys was removing it
• make the python tools parse test/localparams.vh - very basic but works OK
• adc connected, pinout is correct. sampleing has to be done on clock negedge

• how to deal with timing analysis being lower than the clock I'm using

Using an 8k device:

IOs          18 / 206
GBs          0 / 8
  GB_IOs     0 / 8
LCs          3619 / 7680
  DFF        120
  CARRY      512
  CARRY, DFF 39
  DFF PASS   86
  CARRY PASS 165
BRAMs        13 / 32
WARMBOOTs    0 / 1
PLLs         1 / 2

• great video that explains what the Fourier transform is: https://www.youtube.com/watch?v=spUNpyF58BY
• paper on implementing an FFT on an FPGA http://web.mit.edu/6.111/www/f2017/handouts/FFTtutorial121102.pdf
• using Python to implement FFT: https://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/
• sliding FFT https://www.dsprelated.com/showarticle/776.php
• stackoverflow answer about sdft: https://stackoverflow.com/questions/6663222/doing-fft-in-realtime
• paper on SDFT: http://www.comm.toronto.edu/~dimitris/ece431/slidingdft.pdf
• http://www.analog.com/media/en/technical-documentation/data-sheets/AD9283.pdf