In the RFSoC 2x2, to compute the FFT of a signal, is PYNQ using
a) Simply the numpy FFT function?
b) The numpy FFT function + accelerating it?
c) The FPGA on the board?
Thanks in advance.
In the RFSoC 2x2, to compute the FFT of a signal, is PYNQ using
a) Simply the numpy FFT function?
b) The numpy FFT function + accelerating it?
c) The FPGA on the board?
Thanks in advance.
Hi there,
Is there any particular example you are looking at? In the notebooks that are delivered as part of the prebuilt image (like this spectrum analysis one), the spectrum is computed using the FFT function from numpy.
There are also hardware acceleration examples, such as the rfsoc-sam or rfsoc-qpsk with the hardware designs available on their respective github repositories.
Thanks
Shawn