TL; DR
A high-pass filter? The first and second derivatives could be easily enough
described with first and second-order feedback filters, respectively, but
once you start fitting that stuff into DSP terminology, then you might as
well make a low-order high-pass filter that has the
Hi, I missed this thread until now. Last year, I published an article
on this topic here:
https://techblog.izotope.com/2015/08/24/true-peak-detection/
In it is included a proof that the true peak can be unboundedly higher
than the sample peak.
Thanks,
-Russell
On Mon, Aug 1, 2016 at 5:05 PM,
Paul Stoffregen wrote:
Does anyone have any suggestions or references for an efficient algorithm to
find the peak
of a bandwidth limited signal?
Hi,
I think without getting lost in quadratic algebra or endless searches for a holy grail
that doesn't exist that I don't take part in, you've
2016-07-29 8:55 GMT+02:00 :
>
> On Jul 25, 2016, at 3:20 PM, Stefano D'Angelo wrote:
>
>> Otherwise, you might very well use higher-order (i.e., not just
>> linear) interpolators, (e.g., not-a-knot cubic spline interpolator),
>
> What is a "not-a-knot
> Because I don't think there can be more than one between any two
> adjacent sampling times.
>
>
> This really got the gears turning. It seems true, but is it a theorem?
> If not, can anyone give a counterexample?
>
I don't know whether it's a classical theorem, but I think it is true.
On 28/07/2016 12:04 AM, Ethan Fenn wrote:
Because I don't think there can be more than one between any two
adjacent sampling times.
This really got the gears turning. It seems true, but is it a theorem?
If not, can anyone give a counterexample?
I don't know whether it's a classical
r of your choice.
-Ethan
On Wed, Jul 27, 2016 at 1:29 AM, robert bristow-johnson <
r...@audioimagination.com> wrote:
>
>
> Original Message ----
> Subject: Re: [music-dsp] BW limited peak computation?
> From: "Ross B
Original Message
Subject: Re: [music-dsp] BW limited peak computation?
From: "Ross Bencina" <rossb-li...@audiomulch.com>
Date: Tue, July 26, 2016 6:21 pm
To: music-dsp@mu
On 27/07/2016 7:09 AM, Sampo Syreeni wrote:
Now, what I wonder is, could you still somehow pinpoint the temporal
location of an extremum between sampling instants, by baseband logic?
Because I don't think there can be more than one between any two
adjacent sampling times.
Presumably the
On 2016-07-26, Stefan Stenzel wrote:
the acid test is when the pre-upsampled data is alternating signs on
a large amplitude with *one* sample missing. like:
... -A, +A, -A, +A, -A, +A, -A, +A, -A, +A, -A, +A, -A, +A, -A, +A, -A, +A,
+A, -A, +A, -A, +A, -A, +A, -A, +A, -A, +A, -A, +A, -A,
Paul,
It all depends what you consider a peak. Imagine a single sample of one,
surrounded by nothing but zeros left and right, upsampling this signal would
bring up many peaks that you might not be interested in.
For practical purposes I suggest you start with the simple approach to search
I suggest the cubic spline interpolator. It expresses the underlying function
as piecewise trinomial so that the maxima/minima can be computed by solving
binomial equations. It is also known to be close to the ideal sync
interpolation alias-wise.
Xue
From: Paul
2016-07-25 23:00 GMT+02:00 Paul Stoffregen :
>
> Does anyone have any suggestions or references for an efficient algorithm to
> find the peak of a bandwidth limited signal?
>
> If I just look only at the numerical values of the samples (yeah, that's what
> I've been doing), when a
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