On 03/16/2018 10:57 AM, Glen I Langston wrote:
> Hi
>
> Thanks for your help. I know no-one else cares, but
> I've finally figured out all the steps to get Vector decimation working with GRC.
>
> A few notes: I don't think forecast() is ever called with a decimate block.
>
> Multiple output vectors are possible, and care needs to be taken to count
> all the outputs.
>
> My initial QA only had one vector output, so worked fine.
> GRC was generating multiple vectors as output and my vave code was chocking
> on multiple outputs.
>
> I've yet to figure out how to put this block in GitHub
>
Glen:
First, congrats on getting your first custom block working. I pop the
virtual champagne cork in your general direction.
Next, rough outline of getting your stuff on GitHub:
Create a GitHub account. Create a project.
Do an initial git clone of the project, and move your "stuff" into there.
Git "add" all the pieces that should be under source control.
Git "commit -a"
Git push
There, you have an initial instance of your stuff.
Now, since this block just does the (rough) equivalent (at the moment)
of a single-pole-IIR filter followed by a keep-one-in-N, it would be
useful to compare
performance of your fused block. I suspect that it will be
poorer--because it's written in Python.
A fairer test would be to create a fused averager+decimator in C++,
taking advantage of whatever SIMD tricks might be available. The savings
on "fused" blocks are that they localize data-motion, but they may,
for significant-sized inputs, lose out due to the single-threaded nature
of them.
Optimization is tricky, and it's not always obvious that any given
approach will "always work".
_______________________________________________
Discuss-gnuradio mailing list
Discuss-gnuradio@gnu.org
https://lists.gnu.org/mailman/listinfo/discuss-gnuradio
No comments:
Post a Comment