Hi Snehasish,

I forgot about that error. I actually made an issue about it on their repo:
https://github.com/SynchronousLabs/rfnoc-SynchronousLabs/issues/2. Unless
they provide an EDIF or their source code, you can only use their code for
simulation. Certainly a disappointing oversight on their part.

Jonathon

On Sat, Apr 18, 2020 at 6:21 PM Snehasish Kar <snehasish....@live.com>
wrote:

> Hello Jonathon
>
> Tried building the fractional downsampler from synchronous labs and have
> encountered the following error:
> source file was generated for simulation and is not permitted as input to
> synthesis
> [/home/snehasish/rfnoc-SynchronousLabs/rfnoc/fpga-src/fract_dec_filter.vhd:241995]
>
> Can you please help me with it.
>
> Regards
> Snehasish
> ------------------------------
> *From:* Jonathon Pendlum <jonathon.pend...@ettus.com>
> *Sent:* Friday, April 17, 2020 9:22 PM
> *To:* Snehasish Kar <snehasish....@live.com>
> *Cc:* usrp-users@lists.ettus.com <usrp-users@lists.ettus.com>
> *Subject:* Re: [USRP-users] Fractional downsampling in rfnoc
>
> Hello Snehasish,
>
> Unfortunately, the standard library of blocks does not have a Fractional
> Decimator. Your best bet is to try to use the one made by Synchronous Labs
> a few years ago. Their code is on github here:
> https://github.com/SynchronousLabs/rfnoc-SynchronousLabs. Since it was
> built, RFNoC has had some changes that will need to be fixed, but I think
> this is your only option versus writing one from scratch.
>
> Jonathon
>
> On Thu, Apr 16, 2020 at 6:35 PM Snehasish Kar via USRP-users <
> usrp-users@lists.ettus.com> wrote:
>
> Hello
>
> I am trying to use the RFNOC based M/2 channelizer from
> https://github.com/theseus-cores/theseus-cores/releases/tag/v1.1.0 . I am
> trying to divide 25 MHz spectrum into 124 subchannels each of bandwidth
> 200KHz. I am capturing the signal at 200msps and I need to decimate it to
> 25.6msps(25MHz/128 channels). Please help me in understanding how this can
> be achieved using RFNoC, is there’s any block already defined for
> fractional downsampling.
>
> Thanks & Regards
> Snehasish
>
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