Hey Nikhail,

The FFT is a Hermitian function, which means that it has the property:

[image: Screenshot from 2022-02-04 08-34-24.png]

This principle is used in the real wideband FFT to compute 2 real FFTs
using one complex FFT core - this
<http://www.hyperdynelabs.com/dspdude/papers/COMPUTING%20THE%20FFT%20OF%20TWO%20REAL%20SIGNALS%20USING%20A%20SINGLE%20FFT.pdf>
paper
explains it well. For a detailed explanation on how the CASPER FFT works
specifically, Ryan Monroe's paper on Improving the Performance and Resource
Utilization of the CASPER FFT and Polyphase FIlterbank goes into quite a
lot of detail.

You only get 32 output channels because the CASPER wideband FFT discards
all negative frequency components as they're just a mirror of positive
frequency components and aren't needed.

Morag

On Fri, Feb 4, 2022 at 7:10 AM Nikhil Mahajan <[email protected]>
wrote:

> Dear CASPERites,
>
> I am a graduate student at the University of Toronto (working with Marten
> van Kerkwijk) and I have some raw baseband data collected using PUPPI
> (Arecibo) - and I am on a quest to invert the polyphase filter bank. I have
> 32 channels of complex-baseband that I would very much like to combine into
> a single 100 MHz bandwidth stream.
>
> To do this, I would need to understand some of the specifics of the filter
> bank pipeline (so that I can successfully invert each step). This is my
> current understanding of what happened to the data I have:
>
> 1. Real-valued data sampled at 200 MS/s arrives at the Casper BEE2 board.
> 2. This goes through a real-input PFB implementation such as
> `pfb_fir_real` and using a 12-tap, 64-branch polyphase filter (I have the
> filter coefficients that were used here). This step outputs 64 streams of
> real-valued data.
> 3. Then, for the DFT step of the filterbank, the 64 real-valued streams
> are passed through the `fft_wideband_real` block to get 32 channels of
> complex-valued data.
> 4. This is then saved to disk.
>
> (I hope someone familiar with PUPPI can correct me here if I am wrong
> about any of the above)
>
> Step 3 is the step I am confused about. `fft_wideband_real` does not
> appear to be a conventional real-input N-point FFT implementation (Else I
> would have N/2 + 1 channels instead of just N/2). Some documentation on
> this block says that it "computes the real-sampled Fast Fourier Transform
> using the standard Hermitian conjugation trick". What is this standard
> Hermitian conjugation trick? I am totally unfamiliar with this. Would I be
> wrong in guessing it uses some sort of trick to convert 64 real numbers to
> 32 complex numbers and then applies a regular ol' complex-valued FFT on
> them?
>
> Thank you so much! I appreciate any and all guidance this mailing list can
> provide.
>
> Cheers,
> Nikhil Mahajan
>
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