if you were mixing down 16 tracks of 24 bit 44.1 inside a 32bit
floating point DAW, would the resolution/distortion specs be better or
worse mathematically than sending the tracks out to something like an
SSL console?
i'm wondering in terms of mathematical numbers rather than subjective
sound qualities.
> if you were mixing down 16 tracks of 24 bit 44.1 inside a
32bit
> floating point DAW, would the resolution/distortion specs
be better or
> worse mathematically than sending the tracks out to
something like an
> SSL console?
Presuming the DAW software was properly written, there is no
comparison - the DAW is by far the higher resolution tool.
24 bit audio all by itself has about 144 dB worth of dynamic
range, which significantly exceeds that of just about *any*
practical audio gear.
Given that your recordings will probably have no more than
75 dB dynamic range, even the approximately 96 dB dynamic
range of 16 bit audio is overkill.
Arny Krueger wrote:
> genericaudioperson@hotmail.com wrote:
>
> > if you were mixing down 16 tracks of 24 bit 44.1 inside a
> 32bit
> > floating point DAW, would the resolution/distortion specs
> be better or
> > worse mathematically than sending the tracks out to
> something like an
> > SSL console?
>
> Presuming the DAW software was properly written, there is no
> comparison - the DAW is by far the higher resolution tool.
>
> 24 bit audio all by itself has about 144 dB worth of dynamic
> range, which significantly exceeds that of just about *any*
> practical audio gear.
>
> Given that your recordings will probably have no more than
> 75 dB dynamic range, even the approximately 96 dB dynamic
> range of 16 bit audio is overkill.
<genericaudioperson@hotmail.com> wrote:
>if you were mixing down 16 tracks of 24 bit 44.1 inside a 32bit
>floating point DAW, would the resolution/distortion specs be better or
>worse mathematically than sending the tracks out to something like an
>SSL console?
Depends on how bad the DAW is.
There is no NO reason for a simple DAW system that only changes levels
and sums to have any distortion other than tiny amounts due to numerical
precision issues.
Now, the truth is that _some_ DAWs do a lot of unncessary processing, and
the stuff going in isn't the same as the stuff coming out.
Also, realize that there are a lot of people out there who never use
a channel without EQ and dynamics processing on it, and the numbers
are very different between the console and the DAW in that regard.
>i'm wondering in terms of mathematical numbers rather than subjective
>sound qualities.
The numbers on an SSL and on a typical DAW are not as good as they should
be, but there's no reason for either one of them to be significant in an
optimal world.
--scott
--
"C'est un Nagra. C'est suisse, et tres, tres precis."
is dynamic range the right spec for "resolution"? in printer terms,
i'm used to dots-per-inch (dpi). 600 dpi is a typical laser printer,
1200 dpi is a good resolution, etc.
to me, "resolution" in the audio world would be close micing and
lightly playing a nice Zildjian K-custom ride cymbal, and then
listening for the subtle details and having all of it captured.
> to me, "resolution" in the audio world would be close
micing and
> lightly playing a nice Zildjian K-custom ride cymbal, and
then
> listening for the subtle details and having all of it
captured.
I agree that this is a kind of sonic resolution, but it is
one that is related to acoustics and reverberent sound
versus direct sound. This is much more complex and not all
that directly related to resolution in an electrical
circuit.
According to information theory, there is a fairly direct
relationship between the ratio of signal to noise and
resolution. If the noise level is high, then any signal is
imprecise and lacks useful resolution. This quickly leads to
the falsification of the naive idea that analog signals have
infinite resolution.
> How so? Are we talking about volume resolution? Are we talking about
> frequency resolution? What?
>
"Resolution" as part of ther spec. of an A-D converter has a quite
specific meaning: the smallest difference in input voltage that can be
resolved, i.e. that results in different digital codes output.
This correctly relates to dynamic range which is the ratio of the
largest possible signal (corresponding to max number output) to smallest
possible signal (corresponding to single step of number output).
....all of which has nothing to do with frequencies. As a generic English
word, of course "resolution" has lots of other uses.
if you have a converter with a very high real-world dynamic range, then
it means it can capture subtle gradations better than a narrow-range
converter.
meaning the high-range converter could have a signal like 87.3435db,
and the lesser one would only understand it as 88.34 or something like
that.
if you have a converter with a very high real-world dynamic range, then
it means it can capture subtle gradations better than a narrow-range
converter.
meaning the high-range converter could have something a signal like
87.3435db, and the lesser one would only understand it as 88.34 or
something like that.
On 1 Jun 2005 19:40:47 -0700, genericaudioperson@hotmail.com wrote:
>so would this be true?:
>
>if you have a converter with a very high real-world dynamic range, then
>it means it can capture subtle gradations better than a narrow-range
>converter.
>
>meaning the high-range converter could have something a signal like
>87.3435db, and the lesser one would only understand it as 88.34 or
>something like that.
Perhaps a better way to say it is, as Bob Cain puts it, translated,
an ideal A/D/A translation would include bandwidth limiting and an
additional noise floor caused by the dithering.
The dithering itself, idealized, generates only a Gaussian noise
floor. The literal original went something very much like "a perfect
copy (after bandwidth limiting) plus a noise background."
I'd look it up because it's significant, but it's late here.
Obviously the ideal will forever be beyond us, but arguing from
incorrect models wastes time. Been there, been wrong.
Chris Hornbeck wrote:
> On 1 Jun 2005 19:40:47 -0700, genericaudioperson@hotmail.com wrote:
>
>
>>so would this be true?:
>>
>>if you have a converter with a very high real-world dynamic range, then
>>it means it can capture subtle gradations better than a narrow-range
>>converter.
>>
>>meaning the high-range converter could have something a signal like
>>87.3435db, and the lesser one would only understand it as 88.34 or
>>something like that.
>
>
> Perhaps a better way to say it is, as Bob Cain puts it, translated,
> an ideal A/D/A translation would include bandwidth limiting and an
> additional noise floor caused by the dithering.
Gee, I hope I said that but I can't remember doing so. :-)
Sounds more like an Arnyism to me.
>
> The dithering itself, idealized, generates only a Gaussian noise
> floor. The literal original went something very much like "a perfect
> copy (after bandwidth limiting) plus a noise background."
If the quantization error is random, which it would be
ideally, wouldn't it be white rather than Gaussian? Just
like the noise from a resistor (and audibly indistinguishable.)
Bob
--
"Things should be described as simply as possible, but no
simpler."
genericaudioperson@hotmail.com wrote:
> that's fascinating, Anahata.
>
> so would this be true?:
>
> if you have a converter with a very high real-world dynamic range, then
> it means it can capture subtle gradations better than a narrow-range
> converter.
Really it means that you _may_ be able to hear such subtle
gradations better because the random noise floor is quieter.
If that converter is being given anything close to full
scale, at a comfortable listening level you won't be able to
hear any difference with more than about 14 bits, right Arny?
Bob
--
"Things should be described as simply as possible, but no
simpler."
Joe Sensor wrote:
> Arny Krueger wrote:
>> genericaudioperson@hotmail.com wrote:
>>
>>> thanks Arny,
>>>
>>> is dynamic range the right spec for "resolution"?]
>>
>>
>> Yes.
>>
>
> Yes?
>
> How so?
Technology that has been established for at least 50 years.
The relationship between resolution and dynamic range was
established in a paper by Shanon, which was published in the
1940s, offhand.
>Are we talking about volume resolution?
Yes, resolution is only of interest in the amplitude domain.
> Are we talking about frequency resolution? What?
As a rule both analog and digital circuits have so much
resolution in the frequency domain compared to the limits of
human perception, that characterising it is not of much
practical interest. IOW if you feed 100.0001 Hz into just
about any amp, preamp, or convtertor, the output will also
be 100.0001 Hz.
> What if the dynamic range was 140 db, but the frequency
response is
> flat to 8k? Is this high resolution?
You seem to be confusing lack of frequency response
extension with a lack of resolution in the frequency domain.
Two different things.
>If the quantization error is random, which it would be
>ideally, wouldn't it be white rather than Gaussian? Just
>like the noise from a resistor (and audibly indistinguishable.)
====
White and Gaussian are descriptions of two different properties of the
noise.
Gaussian refers to the probability distribution of the AMPLITUDE
following a Gaussian Bell shaped curve. If there is no DC offset, 0
Volts is the most probable value and the probability falls off as you
increase in Voltage.
White refers the power distribution in frequency being flat over the
range of interest, i.e. like white light.
Noise from resistors is both White (in frequency) and Gaussian (in
amplitude).
<genericaudioperson@hotmail.com> wrote:
>that's fascinating, Anahata.
>
>so would this be true?:
>
>if you have a converter with a very high real-world dynamic range, then
>it means it can capture subtle gradations better than a narrow-range
>converter.
>
>meaning the high-range converter could have a signal like 87.3435db,
>and the lesser one would only understand it as 88.34 or something like
>that.
No, it just means you have more dynamic range. There is a discussion of
common misconceptions about digital conversion in the FAQ, written by Gabe
Weiner.
--scott
--
"C'est un Nagra. C'est suisse, et tres, tres precis."
Mark wrote:
>>If the quantization error is random, which it would be
>>ideally, wouldn't it be white rather than Gaussian? Just
>>like the noise from a resistor (and audibly indistinguishable.)
>
>
> ====
>
> White and Gaussian are descriptions of two different properties of the
> noise.
Yes, but I thought they were coupled.
>
> Gaussian refers to the probability distribution of the AMPLITUDE
> following a Gaussian Bell shaped curve. If there is no DC offset, 0
> Volts is the most probable value and the probability falls off as you
> increase in Voltage.
>
> White refers the power distribution in frequency being flat over the
> range of interest, i.e. like white light.
>
> Noise from resistors is both White (in frequency) and Gaussian (in
> amplitude).
Would the spectrum of a flat amplitude distribution be the
same as that of a Gaussian amplitude distribution?
(Statistics is an inexcusable hole in my knowledge.)
Thanks,
Bob
--
"Things should be described as simply as possible, but no
simpler."
On Wed, 01 Jun 2005 23:52:59 -0700, Bob Cain
<arcane@arcanemethods.com> wrote:
>Gee, I hope I said that but I can't remember doing so. :-)
OK, you made me look it up; here's the original in all
its glory:
"> So, louder components are also represented better in a 24 bit
system.
> Are THESE aforementioned things something we can ALL agree on?
Yes. What must be remembered, however, is how the
inaccuracy is perceived. Many think that the increased
resolution results in less perception of some kind of
stairstep effect. That is not the case. The preceived
situation with an N bit converter done properly and going
through the A/D and then the D/A process is _exactly_ the
same as an infinite resolution conversion at both stages
with a digital adder in between just adding in a noise
signal comprised of a random variable with values of 0 or
2^-N at each sample time. What is heard is additive noise
and only that iff the conversion is done without correlation
between the value of that bit and the value of the sample.
This is practically achievable."
>Sounds more like an Arnyism to me.
Guess my translations are being influenced by the folks
on this newsgroup; could be worse.
> Mark wrote:
>>> If the quantization error is random, which it would be
>>> ideally, wouldn't it be white rather than Gaussian?
Just
>>> like the noise from a resistor (and audibly
indistinguishable.)
>> ====
>> White and Gaussian are descriptions of two different
properties of
>> the noise.
> Yes, but I thought they were coupled.
Not necessarily.
> Would the spectrum of a flat amplitude distribution be the
> same as that of a Gaussian amplitude distribution?
The spectrum of a noise signal with a flat amplitude
distribution can be the same as the spectrum of a signal
with a gaussian amplitude distribution. The frequency and
amplitude domains are independent. As Mark wrote, the
amplitude distribution (e.g. gaussian) and the spectrum
(e.g., white) are different properties of noise.
Bob Cain <arcane@arcanemethods.com> wrote in
news7nmf209g9@enews1.newsguy.com:
> Would the spectrum of a flat amplitude distribution be the
> same as that of a Gaussian amplitude distribution?
> (Statistics is an inexcusable hole in my knowledge.)
> Thanks,
> Bob
Statistics isn't the only inexcusable hole in your knowledge. It's just
the only one that you are prepared to acknowledge at this time.
> Which is why many have given up on the ITB mixing and have returned to
> analog mixing, it must have something to do with the results, not the
> math.
You are about to answer a thread that has been inactive for more than 6 months. If you still wish to proceed, please ensure that your posting is original and does not duplicate or overlap any prior responses to this thread.