�
James, your point is right on, but quantitatively you gotta factor of two off.
the 1/f for pink noise applies to power spectrum, not voltage ratios, which is
why the magnitude response for a pinking filter is 1/sqrt(f) or -3 dB per
octave.
�
Original Message
I haven't yet come across an automated process for designing high-quality
pinking filters, so if someone can offer one up I'd also love to hear about
it!
Seth -- as you say, "the error from 1/f can't be corrected by increasing
the number of iterations". Adding octaves to the Voss-McCartney
Hi Robert,
I know very little about filter design (hazy undergrad memories, you know
the type), is this something I could sanely rig for myself, or is that
total madness as a filter novice? Could you point me toward the right terms
I need to read up about to learn more about this?
-Seth
On Mon,
My justification: the result sounds awesome. If I play a show with it in
the next few months I'll post the result of this madness here. Sorry to be
a little vague about it, I've got a couple years of composition work going
into this.
-seth
On Mon, Apr 11, 2016 at 5:26 PM Evan Balster
I know this is an unusual situation, but I really do want 32 octaves[1].
Also, I'm working with 64-bit floats already (many iterations, small
numbers, don't want to think about rounding).
I'm sampling at 3MHz right now, but I'd like to go higher. The differences
in sound quality for my algorithm
ah, yes.. oops.
thanks.
On Mon, Apr 11, 2016 at 5:15 PM, robert bristow-johnson <
r...@audioimagination.com> wrote:
>
>
> James, your point is right on, but quantitatively you gotta factor of two
> off.
>
> the 1/f for pink noise applies to power spectrum, not voltage ratios,
> which is why the
>The amplitude at 20 Hz of the noise will be 20*log10(2^(20/0.447)) =
-113 dB
should be:
The amplitude at 20 Hz of the noise will be 20*log10(20/0.447) = -113
dB
answer is correct, expression was wrong.
On Mon, Apr 11, 2016 at 4:42 PM, James McCartney wrote:
>
Yes, you don't really want 32 octaves.
Wide bandwidth becomes a problem with 1/f noise because the lower
frequencies are so much higher amplitude than the upper frequencies.
With 32 bit floats and a 24 bit mantissa you can only represent 24 octaves
of 1/f noise because 1/f = 1/(2^24) drops below
not an EE undergrad :-P CS with enough music interest to take a few classes
and learn enough to shoot my foot off.
-seth
On Mon, Apr 11, 2016 at 5:30 PM robert bristow-johnson <
r...@audioimagination.com> wrote:
>
>
> assuming you were EE undergrad, do you remember "Bode plots" doing
>
�
assuming you were EE undergrad, do you remember "Bode plots" doing frequency
response in analog electronics?
start out with a wire. �you're frequency response is flat: 0 dB per octave.
then add a pole at a frequency of around �0.447 Hz (that's the
bottom of your 32 Octaves assuming
I presented a solution at the comp.dsp conference in 2010
It uses the pole zero approach that rb-j mentioned earlier.
I used a magnitude squared approach to calculate the
coefficients. You can make it as good as you want although
math precision issues are probably going to be an issue at
On 12/04/2016 10:26 AM, Evan Balster wrote:
I haven't yet come across an automated process for designing
high-quality pinking filters, so if someone can offer one up I'd also
love to hear about it!
Last time that I checked (about a year and a half ago) the following
was the best reference
being that this is a discussion group about music, which is a subset of audio.
�and being that our hearing is at best 10 or 11 octaves, why do you need 32
octaves?
and then how closely, in dB, does your pink noise need to conform to the 1/f
power spectrum? �+/- 0.1 dB? �0.01
dB?
all this can
Hey, Seth --
Check out the Voss-McCartney algorithm on that page. It's wonderfully
cheap and you can extend it to as many octaves as you like without an
increase in operations per sample. Obviously the resulting noise isn't
perfect -- it's a little distorted near Nyquist and has some ripple
I'm applying an iterative function to an input signal, in this instance
pinknoise. Because of the iteration, spectral characteristics in input
signals tend to "blow up" really quickly, so I'm looking for a really high
bandwidth and high quality source of pink noise.
My understanding is that most
Hi all,
There's been a bit of discussion here at times about Digital To Analog Conversion that
inevitably follows a lot of DSP experiments, and the lack of complete accuracy that might
make music sound less good than intended. Depending on the POV and varying opinions of
course, but it's my
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