Hi Marcus,
I see. I thought you were referring to the "Polyphase Arbitrary Resampler"
block for a polyphase implementation.

Having that optimisation in the "Rational Resampler" is excellent, and
thank you for the detailed explanation. Very helpful.

I'll look further into why I was getting underflow issues as resampling
between 100kSps and 48kSps using 12/25 ratios should be no problem for my
i7 based PC.
( I assume that what I was getting: aUaUaU...being printed onscreen in
GRC..and some breaks in the continuous signal)

Regards.

On 29 May 2018 at 23:19, Müller, Marcus (CEL) <[email protected]> wrote:

> Hi Carlo,
>
> if you're using GNU Radio's rational resampler, you're already using
> that method!
>
> Really, at your 100 kS/s rate... things should be trivial for your CPU,
> even if they weren't implemented efficiently. I'm really not convinced
> the resampling is to blame here!
>
> Best regards,
> Marcus
>
> On Tue, 2018-05-29 at 22:03 +1000, Carlo Manfredini wrote:
> > Hi Marcus,
> > Thanks for that reply.
> > The reduction in computation with the polyphase implementation sounds
> very tempting esp as I'm getting underflow errors at the moment.
> > I will give it a try and see how it compares.
> > Regards.
> >
> > On 29 May 2018 at 19:34, Müller, Marcus (CEL) <[email protected]> wrote:
> > > Hi Carlo, hi Linda:
> > >
> > > as Linda said,the RR approach works really well and is numerically
> > > relatively stable until you hit really ugly ratios (after, of course,
> > > cancelling the fraction as far as possible).
> > > But what is "ugly" here?
> > >
> > > In theory, rational resampling by M/N (note: M,N coprime!) would work
> > > like the following
> > >
> > > input --> insert (M-1) zeros between each sample
> > >       --> low-pass 1/M-band filter to get rid of the images
> > >       --> low-pass 1/N-band filter to avoid aliasing in next step
> > >       --> throw away (N-1) of N samples --> output
> > >
> > > Now, either of the 1/M and the 1/N-band filter doesn't do anything
> > > useful, simply because the other is narrower.
> > >
> > > So, we reduce that to
> > >
> > > input --> insert (M-1) zeros between each sample
> > >       --> low-pass 1/max(M,N)-band filter against images and aliases
> > >       --> throw away (N-1) of N samples --> output
> > >
> > > and pay a bit of attention to the transition width of the filter (which
> > > will become smaller the closer the ratio M/N becomes to 1).
> > >
> > > This is all fine and dandy, but let's say max(M,N) is N=25.
> > > A quick calculation[1] shows that this filter might have 220 taps,
> > > which we need to apply to 12× the input sample rate, so that's 12·220,
> > > that is ca 2600, multiply-accumulate operations per input sample –
> > > ooof.
> > >
> > > We avoid that by having an elegant polyphase implementation, which by
> > > the
> > > power of greyskull (or was it harris?) allows us to run this core
> > > filter
> > > at 1/N of the input rate (instead of M times the input rate!); so, we
> > > get
> > > 220 / 25 = 9 multiply-accumulates per input sample - which is very
> > > bearable, and thus, the rational resampler works very well in this
> > > scenario.
> > >
> > > With M,N coprime, we basically get two good cases:
> > >
> > > 1. N >> M (rational decimation): The core filter runs at a very low
> > > rate of
> > >    1/N of the input rate, its length being proportional to M·N.
> > > 2. M >> N (rational interpolation): The core filter runs at a still low
> > > 1/M
> > >    of the output rate, its length being proportional to M.
> > >
> > > So, the efforts of an M/N and an N/M filter are very manageable,
> > > because
> > > either the filter isn't that long (no M factor in the length) or the
> > > filter
> > > runs at a very low rate (1/N of the input).
> > >
> > > A problem only occurs if M and N are relatively close to each other:
> > >
> > > In that case, the transition width of the core filter becomes very
> > > small, and
> > > the inverse of transition width goes linearly into the necessary length
> > > of a
> > > FIR filter; at the meantime, the polyphase saving don't balance that
> > > out.
> > > To make matters worse, a some point, having a polyphase decomposed
> > > large filter
> > > becomes a problem for your CPU: while a modern CPU can happily keep a
> > > couple
> > > hundred filter coefficients and the same amount of in- and of output
> > > samples in
> > > L2 (or even L1) cache, you can quickly get into trouble if the filter
> > > becomes
> > > so large that you regularly have to flush your cache; then you quickly
> > > become
> > > RAM bandwidth bound and performance plummets. Don't expect that to
> > > happen before
> > > ratios like 1023/1024 or so on your x86.
> > >
> > > In these cases, just like in the finely adjustable ratio cases, an
> > > arbitrary
> > > ratio resampler becomes the method of choice – but even then, you'd
> > > often try to
> > > get "as close as feasible" to the target rate with a rational
> > > resampler, and then
> > > only do the remainder that's really close to 1 with an arbitrary
> > > resampler.
> > >
> > > Best regards,
> > > Marcus
> > >
> > > [1] https://dsp.stackexchange.com/questions/31066/how-many-taps-
> does-an
> > > -fir-filter-need#31077
> > >     with δ_1 = 10^-2, δ_2 = 10^-6, and the transition width half an
> > > alias distance,
> > >     i.e. f_s/50
> > > On Tue, 2018-05-29 at 14:37 +1000, Carlo Manfredini wrote:
> > > > Thanks, that works well.
> > > > I'm pleased to be able to use the RR, and am using the default taps.
> > > >
> > > >
> > > > On 29 May 2018 at 10:07, Linda20071 <[email protected]> wrote:
> > > > > Use the rational resampler module (12/25). Decimation 25;
> interpolation: 12
> > > > >
> > > > > On Mon, May 28, 2018 at 7:44 PM, Carlo Manfredini <
> [email protected]> wrote:
> > > > > > Hi,
> > > > > > I wish to transfer continuous data between two devices operating
> at these two rates:
> > > > > > 100kSps and 48kSps
> > > > > > I would appreciate some suggestions as to the "best " method or
> resampler to use.
> > > > > > I imaging the RR is not useful here.
> > > > > > Im thinking some fractional resampler is best.
> > > > > > Since these rates are quite low I imagine processing load is not
> an issue.
> > > > > >
> > > > > > Also, how does one select the filter taps required ? Are there
> some tutorials or "rules of thumb" I can follow ?
> > > > > >
> > > > > > Thanks for hints.
> > > > > >
> > > > > >
> > > > > >
> > > > > > _______________________________________________
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> > > > > >
> > > >
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> >
> >
>
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