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I'm curious about harmonics. I've been looking for an explanation of why
different waveforms have different overtones. One explanation offered is in
terms of Fourier series. Every periodic function can be expressed as an
infinite sum of sine waves of increasing frequency and decreasing amplitude.
If we look at the Fourier series for a given curve (like a sawtooth or
square wave), then we can find the overtones by looking at the terms in the
sum.
Now I like mathematics, but I'm not satisfied by this explanation. We can
express a function as a Fourier series, but we can also express it in other
ways. Perhaps a sine wave can be expressed as an infinite series of square
waves. Then a sine wave should have a lot of overtones.
Here's my guess Qualitatively, different waveforms have different sounds,
and this does not necessarily need to be interpreted as having overtones.
However FILTERS are what truly reveal overtones. But the function of a
filter is determined by the fact that its resonant frequency is always a
sine wave. If we had square wave resonance, then we'd have totally
different filters, with the square wave being the least affected by the
filter.
Is that more or less correct?
Also, does the Fourier expression make the most sense to the human ear?
(i.e. Does the human ear have something akin to sine wave resonance?)
Thanks,
Monroe
[Nontext portions of this message have been removed] 0 Attachment
Off the top of my head, I don't think the set of square waves forms
an orthogonal basis, so that a decomposition in terms of square
waves is not unique. In other words, in the square wave basis,
the "overtones" present are not unique. Not sure how you could apply
a filter in this case, since the idea of a filter is to strip out
members of the basis independently of the others.
Beyond this I think our senses confirm the decomposition of
vibrations in terms of sine waves, and this is simply a matter of
experience agreeing with theory. I think if the ear were to
experience a sound and we were expected to think about it in terms
of the various contributions of square waves it would be difficult,
because the contribution of each square wave in a particular sound
is not unique. You could think about a sound being composed of two
(or more) different sets of square waves, and the answer to the
question would become ambiguous. Two or more, or many answers would
be correct. In the case of sine waves, there is only one answer.
Hopefully I am correct in this and not muddying the waters.
Thanks,
Doug
 In Doepfer_a100@yahoogroups.com, "Monroe Eskew"
<monroe.eskew@...> wrote:>
of why
> I'm curious about harmonics. I've been looking for an explanation
> different waveforms have different overtones. One explanation
offered is in
> terms of Fourier series. Every periodic function can be expressed
as an
> infinite sum of sine waves of increasing frequency and decreasing
amplitude.
> If we look at the Fourier series for a given curve (like a
sawtooth or
> square wave), then we can find the overtones by looking at the
terms in the
> sum.
explanation. We can
>
> Now I like mathematics, but I'm not satisfied by this
> express a function as a Fourier series, but we can also express it
in other
> ways. Perhaps a sine wave can be expressed as an infinite series
of square
> waves. Then a sine wave should have a lot of overtones.
different sounds,
>
> Here's my guess Qualitatively, different waveforms have
> and this does not necessarily need to be interpreted as having
overtones.
> However FILTERS are what truly reveal overtones. But the
function of a
> filter is determined by the fact that its resonant frequency is
always a
> sine wave. If we had square wave resonance, then we'd have totally
by the
> different filters, with the square wave being the least affected
> filter.
ear?
>
> Is that more or less correct?
>
> Also, does the Fourier expression make the most sense to the human
> (i.e. Does the human ear have something akin to sine wave
resonance?)
>
> Thanks,
> Monroe
>
>
> [Nontext portions of this message have been removed]
> 0 Attachment
On Wed, 2 Jul 2008, Monroe Eskew wrote:
> Here's my guess Qualitatively, different waveforms have different sounds,
'Not exactly' and 'to a fair degree' are the answers. It happens
> and this does not necessarily need to be interpreted as having overtones.
> However FILTERS are what truly reveal overtones. But the function of a
> filter is determined by the fact that its resonant frequency is always a
> sine wave. If we had square wave resonance, then we'd have totally
> different filters, with the square wave being the least affected by the
> filter.
>
> Is that more or less correct?
>
> Also, does the Fourier expression make the most sense to the human ear?
> (i.e. Does the human ear have something akin to sine wave resonance?)
that the Fourier is roughly analogous to the physiological process
of sound detection. The cochlea discretizes sound in both
frequency and time and so perceptual overtones correspond to
components in the Fourier expansion. If hearing worked on a
different principle like zero crossing or peak detection, music
theory would be radically different.
m

Monty Brandenberg 0 Attachment
Hi Monroe
> ways. Perhaps a sine wave can be expressed as an infinite series of square
I never tried to analyse this mathematically or experimentally, but I
> waves. Then a sine wave should have a lot of overtones.
can imagine, that the sum of overtones of all the squares would be null
(extiction by elimination due to inverted overtones of same amplitude).
Florian 0 Attachment
I don't believe you can create a sine by adding signals with overtones. You can transfer the
energy around in the spectrum with specific phase cancellations. But every time you
cancel an overtone you create or reinforce another.
In nature, sine functions are prevalent everywhere. On the other hand, square waves are
nonexistent and must always be synthesized. It would very atypical for nature to miss
something as mathematically elegant as sines in favor of something more convoluted.
 In Doepfer_a100@yahoogroups.com, "Monroe Eskew" <monroe.eskew@...> wrote:
>
> I'm curious about harmonics. I've been looking for an explanation of why
> different waveforms have different overtones. One explanation offered is in
> terms of Fourier series. Every periodic function can be expressed as an
> infinite sum of sine waves of increasing frequency and decreasing amplitude.
> If we look at the Fourier series for a given curve (like a sawtooth or
> square wave), then we can find the overtones by looking at the terms in the
> sum.
>
> Now I like mathematics, but I'm not satisfied by this explanation. We can
> express a function as a Fourier series, but we can also express it in other
> ways. Perhaps a sine wave can be expressed as an infinite series of square
> waves. Then a sine wave should have a lot of overtones.
>
> Here's my guess Qualitatively, different waveforms have different sounds,
> and this does not necessarily need to be interpreted as having overtones.
> However FILTERS are what truly reveal overtones. But the function of a
> filter is determined by the fact that its resonant frequency is always a
> sine wave. If we had square wave resonance, then we'd have totally
> different filters, with the square wave being the least affected by the
> filter.
>
> Is that more or less correct?
>
> Also, does the Fourier expression make the most sense to the human ear?
> (i.e. Does the human ear have something akin to sine wave resonance?)
>
> Thanks,
> Monroe
>
>
> [Nontext portions of this message have been removed]
> 0 Attachment
Pretty sure my original post on this subject is weak (or worse), but
I think this article might help. One should be able to construct an
arbitrary periodic function using a nontrigonmetric basis. In other
words, you *can* "create a sine by adding signals."
http://ieeexplore.ieee.org/iel5/31/23557/01085543.pdf?
arnumber=1085543
Further, seems to me the ear can be trained to listen for nonsine
basis functions (aka "overtones"). Take for example, the sound of
two or more oboes. Pretty sure one could separate the parts by
pitch, although the parts aren't themselves pure sines. Muting one
of the oboe parts would be filtering that "frequency", wouldn't it?
I guess I am agreeing with the original poster, and the answer as to
why we analyse signals in terms of trigonometric basis functions is
just mathematical (and design?) convenience.
Doug
 In Doepfer_a100@yahoogroups.com, "laryn91" <caymus91@...> wrote:
>
> I don't believe you can create a sine by adding signals with
overtones. You can transfer the
> energy around in the spectrum with specific phase cancellations.
But every time you
> cancel an overtone you create or reinforce another.
>
> In nature, sine functions are prevalent everywhere. On the other
hand, square waves are
> nonexistent and must always be synthesized. It would very
atypical for nature to miss
> something as mathematically elegant as sines in favor of something
more convoluted.
>
>
>  In Doepfer_a100@yahoogroups.com, "Monroe Eskew"
<monroe.eskew@> wrote:
> >
> > I'm curious about harmonics. I've been looking for an
explanation of why
> > different waveforms have different overtones. One explanation
offered is in
> > terms of Fourier series. Every periodic function can be
expressed as an
> > infinite sum of sine waves of increasing frequency and
decreasing amplitude.
> > If we look at the Fourier series for a given curve (like a
sawtooth or
> > square wave), then we can find the overtones by looking at the
terms in the
> > sum.
> >
> > Now I like mathematics, but I'm not satisfied by this
explanation. We can
> > express a function as a Fourier series, but we can also express
it in other
> > ways. Perhaps a sine wave can be expressed as an infinite
series of square
> > waves. Then a sine wave should have a lot of overtones.
> >
> > Here's my guess Qualitatively, different waveforms have
different sounds,
> > and this does not necessarily need to be interpreted as having
overtones.
> > However FILTERS are what truly reveal overtones. But the
function of a
> > filter is determined by the fact that its resonant frequency is
always a
> > sine wave. If we had square wave resonance, then we'd have
totally
> > different filters, with the square wave being the least affected
by the
> > filter.
> >
> > Is that more or less correct?
> >
> > Also, does the Fourier expression make the most sense to the
human ear?
> > (i.e. Does the human ear have something akin to sine wave
resonance?)
> >
> > Thanks,
> > Monroe
> >
> >
> > [Nontext portions of this message have been removed]
> >
> 0 Attachment
Expressing overtones in squarewaves is not correct.
Because the squarewave has a large number of overtones.
The (perfect) sine is the purest tone you can achive. It has no overtones.
that is the way mathematics looks at it.
If you would look in with a spectrum analyzer the (perfect) sine shows up as
a needle sticking out at one place.
In truth most sine oscillators are not entirely perfect so they do have
slight tendencies to have a few tiny overtones.
If you would analyze the squarewave this way you see a whole blur over the
with of the spectrum
The only way to create a sine out of a squarewave is by using a lowpass
filter.
Mathematically seen you could consider the lowpass filter an integrator.
If you are interested doing research in these fields I would advise you to
take a look at Cycling 74's Max/MSP software.
On Thu, Jul 3, 2008 at 8:50 PM, laryn91 <caymus91@...> wrote:
> I don't believe you can create a sine by adding signals with overtones.
> You can transfer the
> energy around in the spectrum with specific phase cancellations. But every
> time you
> cancel an overtone you create or reinforce another.
>
> In nature, sine functions are prevalent everywhere. On the other hand,
> square waves are
> nonexistent and must always be synthesized. It would very atypical for
> nature to miss
> something as mathematically elegant as sines in favor of something more
> convoluted.
>
>
>  In Doepfer_a100@yahoogroups.com <Doepfer_a100%40yahoogroups.com>,
> "Monroe Eskew" <monroe.eskew@...> wrote:
> >
> > I'm curious about harmonics. I've been looking for an explanation of why
> > different waveforms have different overtones. One explanation offered is
> in
> > terms of Fourier series. Every periodic function can be expressed as an
> > infinite sum of sine waves of increasing frequency and decreasing
> amplitude.
> > If we look at the Fourier series for a given curve (like a sawtooth or
> > square wave), then we can find the overtones by looking at the terms in
> the
> > sum.
> >
> > Now I like mathematics, but I'm not satisfied by this explanation. We can
> > express a function as a Fourier series, but we can also express it in
> other
> > ways. Perhaps a sine wave can be expressed as an infinite series of
> square
> > waves. Then a sine wave should have a lot of overtones.
> >
> > Here's my guess Qualitatively, different waveforms have different
> sounds,
> > and this does not necessarily need to be interpreted as having overtones.
> > However FILTERS are what truly reveal overtones. But the function of a
> > filter is determined by the fact that its resonant frequency is always a
> > sine wave. If we had square wave resonance, then we'd have totally
> > different filters, with the square wave being the least affected by the
> > filter.
> >
> > Is that more or less correct?
> >
> > Also, does the Fourier expression make the most sense to the human ear?
> > (i.e. Does the human ear have something akin to sine wave resonance?)
> >
> > Thanks,
> > Monroe
> >
> >
> > [Nontext portions of this message have been removed]
> >
>
>
>
[Nontext portions of this message have been removed] 0 Attachment
I agree completely. The true nature of the analogue world is that
there are very few if any abrupt transitions to any event. Nothing
naturally goes instantly from one state to another like a square wave
(I guess you would have to go subatomic first but even that is
theory). In fact it is very hard to make a true square wave with no
overshoot or bounce in the real world  air pressure waves can't be
made that abrupt because of the compressible nature of air for
example. One must also acknowledge that pure sine wave sound doesn't
exists in nature either  even the purest pipe tone has overtones.
On Jul 3, 2008, at 11:50 AM, laryn91 wrote:
>
> In nature, sine functions are prevalent everywhere. On the other
> hand, square waves are
> nonexistent and must always be synthesized. It would very atypical
> for nature to miss
> something as mathematically elegant as sines in favor of something
> more convoluted.
> 0 Attachment
Sine functions can be represented as Taylor series. The terms of the Taylor
series are not periodic functions however. But we can redo the Taylor
series, taking advantage of the periodic nature of the sine wave, doing it
normally on the interval [0,2pi) and then "recentering" at each multiple of
2pi, just copying the function from the [0,2pi) interval. The result is the
sine wave expressed as a sum of increasingly curvy sawtooths, albeit all of
the same frequency.
I think the explanation has more to do with the cochlea. As I understand
it, It has different sensors for different frequencies, and the frequency
sensed increases as you travel further into the tube. The sensor hairs
probably vibrate naturally in a sine waveform. Thus, I'm guessing, the
human ear naturally decomposes a wave into its Fourier components, absorbing
the energy from the lower frequencies in sine form, and then passing off the
rest down the tube.
This leaves open the question of a synthesizer filter based on a different
resonance waveform. Any thoughts on whether that's possible, what it would
sound like?
Monroe
On Thu, Jul 3, 2008 at 1:50 PM, laryn91 <caymus91@...> wrote:
> I don't believe you can create a sine by adding signals with overtones.
> You can transfer the
> energy around in the spectrum with specific phase cancellations. But every
> time you
> cancel an overtone you create or reinforce another.
>
> In nature, sine functions are prevalent everywhere. On the other hand,
> square waves are
> nonexistent and must always be synthesized. It would very atypical for
> nature to miss
> something as mathematically elegant as sines in favor of something more
> convoluted.
>
>
>  In Doepfer_a100@yahoogroups.com <Doepfer_a100%40yahoogroups.com>,
> "Monroe Eskew" <monroe.eskew@...> wrote:
> >
> > I'm curious about harmonics. I've been looking for an explanation of why
> > different waveforms have different overtones. One explanation offered is
> in
> > terms of Fourier series. Every periodic function can be expressed as an
> > infinite sum of sine waves of increasing frequency and decreasing
> amplitude.
> > If we look at the Fourier series for a given curve (like a sawtooth or
> > square wave), then we can find the overtones by looking at the terms in
> the
> > sum.
> >
> > Now I like mathematics, but I'm not satisfied by this explanation. We can
> > express a function as a Fourier series, but we can also express it in
> other
> > ways. Perhaps a sine wave can be expressed as an infinite series of
> square
> > waves. Then a sine wave should have a lot of overtones.
> >
> > Here's my guess Qualitatively, different waveforms have different
> sounds,
> > and this does not necessarily need to be interpreted as having overtones.
> > However FILTERS are what truly reveal overtones. But the function of a
> > filter is determined by the fact that its resonant frequency is always a
> > sine wave. If we had square wave resonance, then we'd have totally
> > different filters, with the square wave being the least affected by the
> > filter.
> >
> > Is that more or less correct?
> >
> > Also, does the Fourier expression make the most sense to the human ear?
> > (i.e. Does the human ear have something akin to sine wave resonance?)
> >
> > Thanks,
> > Monroe
> >
> >
> > [Nontext portions of this message have been removed]
> >
>
>
>
[Nontext portions of this message have been removed] 0 Attachment
> Sine functions can be represented as Taylor series.
Perfect example of a sine being constructed.
>I'm guessing, the
absorbing
> human ear naturally decomposes a wave into its Fourier components,
> the energy from the lower frequencies in sine form, and then
passing off the
> rest down the tube.
I'm sticking with sines and cosines as a convenient analytical
representation (that includes a mathematical analysis of vibrations
in the ear too). I don't think the ear knows diddly about Fourier ;)
I would go back to the idea that your ear/mind can separate the
parts of a musical sound based on the timbres of the constituent
instruments, not only in the case that they are pipes or flutes, or
whatever particular timbre is closest to a sine. I think the
ear/mind is really good at this, actually. If there is a bird
chirping and a lion roaring at the same time, I bet some of the
Fourier terms are overlapping, but there would be no doubt in
mentally separating the sounds according to timbre. Should I go
further and say that spectrally rich tones are easier for the mind
to categorize than "pure" ones?
>
different
> This leaves open the question of a synthesizer filter based on a
> resonance waveform. Any thoughts on whether that's possible, what
it would
> sound like?
Not a designer, but I bet there are contexts in which using tri or
square is more convenient than sines. Especially in digital
synthesis.
Doug 0 Attachment
In your example, what are the "pitch parts" you're separating when analyzing the two
oboes? SINE waves  right? Not square or some other arbitrary function.
Since I can only read the fragmented summary in the referenced paper, so maybe I'm
understanding it totally incorrectly. But it may not be relevant since the harmonic phase
relations don't appear to be held constant. In other words yes, you can get a sine if you
add two signals of different shape. Which is not what the poster asked.
I believe the poster was wondering if any function can be transformed from a noncircular
plane  like a square or rectangular one. Maybe it's just my limited knowledge, but I
haven't heard of such a thing. I can try to *approximate" a sine from a square plane...
 In Doepfer_a100@yahoogroups.com, "Doug" <dougc356@...> wrote:
>
> Pretty sure my original post on this subject is weak (or worse), but
> I think this article might help. One should be able to construct an
> arbitrary periodic function using a nontrigonmetric basis. In other
> words, you *can* "create a sine by adding signals."
>
> http://ieeexplore.ieee.org/iel5/31/23557/01085543.pdf?
> arnumber=1085543
>
> Further, seems to me the ear can be trained to listen for nonsine
> basis functions (aka "overtones"). Take for example, the sound of
> two or more oboes. Pretty sure one could separate the parts by
> pitch, although the parts aren't themselves pure sines. Muting one
> of the oboe parts would be filtering that "frequency", wouldn't it?
>
> I guess I am agreeing with the original poster, and the answer as to
> why we analyse signals in terms of trigonometric basis functions is
> just mathematical (and design?) convenience.
>
> Doug
>
>
>  In Doepfer_a100@yahoogroups.com, "laryn91" <caymus91@> wrote:
> >
> > I don't believe you can create a sine by adding signals with
> overtones. You can transfer the
> > energy around in the spectrum with specific phase cancellations.
> But every time you
> > cancel an overtone you create or reinforce another.
> >
> > In nature, sine functions are prevalent everywhere. On the other
> hand, square waves are
> > nonexistent and must always be synthesized. It would very
> atypical for nature to miss
> > something as mathematically elegant as sines in favor of something
> more convoluted.
> >
> >
> >  In Doepfer_a100@yahoogroups.com, "Monroe Eskew"
> <monroe.eskew@> wrote:
> > >
> > > I'm curious about harmonics. I've been looking for an
> explanation of why
> > > different waveforms have different overtones. One explanation
> offered is in
> > > terms of Fourier series. Every periodic function can be
> expressed as an
> > > infinite sum of sine waves of increasing frequency and
> decreasing amplitude.
> > > If we look at the Fourier series for a given curve (like a
> sawtooth or
> > > square wave), then we can find the overtones by looking at the
> terms in the
> > > sum.
> > >
> > > Now I like mathematics, but I'm not satisfied by this
> explanation. We can
> > > express a function as a Fourier series, but we can also express
> it in other
> > > ways. Perhaps a sine wave can be expressed as an infinite
> series of square
> > > waves. Then a sine wave should have a lot of overtones.
> > >
> > > Here's my guess Qualitatively, different waveforms have
> different sounds,
> > > and this does not necessarily need to be interpreted as having
> overtones.
> > > However FILTERS are what truly reveal overtones. But the
> function of a
> > > filter is determined by the fact that its resonant frequency is
> always a
> > > sine wave. If we had square wave resonance, then we'd have
> totally
> > > different filters, with the square wave being the least affected
> by the
> > > filter.
> > >
> > > Is that more or less correct?
> > >
> > > Also, does the Fourier expression make the most sense to the
> human ear?
> > > (i.e. Does the human ear have something akin to sine wave
> resonance?)
> > >
> > > Thanks,
> > > Monroe
> > >
> > >
> > > [Nontext portions of this message have been removed]
> > >
> >
> 0 Attachment
>
analyzing the two
> In your example, what are the "pitch parts" you're separating when
> oboes? SINE waves  right? Not square or some other arbitrary
function.
The "oboe function" (steady state). I picked oboe, because it's not
a sine. Each part is not a sine, yet the mind is easily able to
separate them, and not in terms of equivalent sums of bell sounds.
Just an example of how the ear is not hobbled by only being able to
separate sounds into sines.
>Which is not what the poster asked.
Yeah, I went from the specific case he mentioned... using the set of
square waves as a basis... to a set of *any* signals as a basis. And
this is exactly what the paper addresses (well there are some
assumptions about the candidate basis functions). It even goes so
far to use tri waves as an example. There are even oboe graphs in
there! It's a math paper in IEEE with music! Ha ha.
>
transformed from a noncircular
> I believe the poster was wondering if any function can be
> plane  like a square or rectangular one. Maybe it's just my
limited knowledge, but I
> haven't heard of such a thing. I can try to *approximate" a sine
from a square plane...
This is exactly what the paper is addressing.
Doug 0 Attachment
On Jul 2, 2008, at 9:20 AM, Monroe Eskew wrote:
> Perhaps a sine wave can be expressed as an infinite series of square
Aren't Walsh transforms squarewavebased?
> waves.
C
Chris Muir
cbm@...
http://www.xfade.com 0 Attachment
The reason the ear can separate the two oboes is because an expected harmonic
relationship is known as a reference point for analysis. So the two "parts" can be
reconstructed by the brain to identify two oboes. So it looks like the earbrain maybe does
know (prewired?) Fourier series ;)
It's even more complex than that  the brain also keeps maintains a timbre map (vocal
tract resonances) of every speaker so you can hear individual speakers in a crowded room
(I do speech research work). Within the noisy signal, very weak individual speaker signals
can be easily correlated, extracted and decoded.
The brain is mostly tracking resonances rather then individual harmonics, but there is a lot
of evidence the human input transducers are spectral + time types. Experiments with
critical banding and masking indicate sine harmonics are being detected by the ear.
I'll have to see if I can find your reference in full somewhere. Sounds very interesting!
 In Doepfer_a100@yahoogroups.com, "Doug" <dougc356@...> wrote:
>
> >
> > In your example, what are the "pitch parts" you're separating when
> analyzing the two
> > oboes? SINE waves  right? Not square or some other arbitrary
> function.
>
> The "oboe function" (steady state). I picked oboe, because it's not
> a sine. Each part is not a sine, yet the mind is easily able to
> separate them, and not in terms of equivalent sums of bell sounds.
> Just an example of how the ear is not hobbled by only being able to
> separate sounds into sines.
>
>
> >Which is not what the poster asked.
>
> Yeah, I went from the specific case he mentioned... using the set of
> square waves as a basis... to a set of *any* signals as a basis. And
> this is exactly what the paper addresses (well there are some
> assumptions about the candidate basis functions). It even goes so
> far to use tri waves as an example. There are even oboe graphs in
> there! It's a math paper in IEEE with music! Ha ha.
>
> >
> > I believe the poster was wondering if any function can be
> transformed from a noncircular
> > plane  like a square or rectangular one. Maybe it's just my
> limited knowledge, but I
> > haven't heard of such a thing. I can try to *approximate" a sine
> from a square plane...
>
> This is exactly what the paper is addressing.
>
> Doug
> 0 Attachment
From: Chris Muir <cbm@...>
Subject: Re: [Doepfer_a100] hard science question
Date: Thu, 3 Jul 2008 14:40:12 0700
MessageID: <AD7B588AD1814E0B95573C1ADAA7CBAF@...>
>
They are. Sine generation is possible but not *THAT* neat really.
> On Jul 2, 2008, at 9:20 AM, Monroe Eskew wrote:
>
> > Perhaps a sine wave can be expressed as an infinite series of square
> > waves.
>
> Aren't Walsh transforms squarewavebased?
Google the web for Walsh functions and sine and you should find several
relevant pages. Wikipedia should help you on the way as usual.
In short will all waveforms exist in sine and cosine form, i.e. 0 and 90
degrees. The simple 4 sample case is illustrative. These are the 4 base
vectors (the third line can be inversed, don't recall from the top of my head,
but literature will correct that mistake):
+1 +1 +1 +1
+1 +1 1 1
1 +1 +1 1
+1 1 +1 1
Looks simple and powerfull. Ah well. :)
Cheers,
Magnus 0 Attachment
Yes, but not vary precise and lots of hifreq artifacts.
As noted in this thread, there are many mathematical functions that will *approximate* a
sine. But only a circle can make a circle. An infinite number of squares may converge to
circle  but never hit it (I think...).
 In Doepfer_a100@yahoogroups.com, Chris Muir <cbm@...> wrote:
>
>
> On Jul 2, 2008, at 9:20 AM, Monroe Eskew wrote:
>
> > Perhaps a sine wave can be expressed as an infinite series of square
> > waves.
>
>
> Aren't Walsh transforms squarewavebased?
>
> C
>
> Chris Muir
> cbm@...
> http://www.xfade.com
> 0 Attachment
The question is basically whether overtones are objective or just one
interpretation of a wave. Given that there are multiple ways to decompose a
given waveform, why is one decomposition favored as a way of understanding
the overtones? If the decomposition corresponds to how the cochlea
physically works, or how the brain processes, or a combination of both, this
may help explain it. Obviously overtones have a functional relationship to
filters, and since filters are sinewavebased, this leads to the hypothesis
that the ear (and/or brain) shares some characteristics with those filters.
The ear doesn't have to "know" anything; it may physically function in a way
as to break the spectrum into sine components. The cochlea is a complex
thing.
On Thu, Jul 3, 2008 at 3:42 PM, laryn91 <caymus91@...> wrote:
> In your example, what are the "pitch parts" you're separating when
> analyzing the two
> oboes? SINE waves  right? Not square or some other arbitrary function.
>
> Since I can only read the fragmented summary in the referenced paper, so
> maybe I'm
> understanding it totally incorrectly. But it may not be relevant since the
> harmonic phase
> relations don't appear to be held constant. In other words yes, you can get
> a sine if you
> add two signals of different shape. Which is not what the poster asked.
>
> I believe the poster was wondering if any function can be transformed from
> a noncircular
> plane  like a square or rectangular one. Maybe it's just my limited
> knowledge, but I
> haven't heard of such a thing. I can try to *approximate" a sine from a
> square plane...
>
>  In Doepfer_a100@yahoogroups.com <Doepfer_a100%40yahoogroups.com>,
> "Doug" <dougc356@...> wrote:
> >
> > Pretty sure my original post on this subject is weak (or worse), but
> > I think this article might help. One should be able to construct an
> > arbitrary periodic function using a nontrigonmetric basis. In other
> > words, you *can* "create a sine by adding signals."
> >
> > http://ieeexplore.ieee.org/iel5/31/23557/01085543.pdf?
> > arnumber=1085543
> >
> > Further, seems to me the ear can be trained to listen for nonsine
> > basis functions (aka "overtones"). Take for example, the sound of
> > two or more oboes. Pretty sure one could separate the parts by
> > pitch, although the parts aren't themselves pure sines. Muting one
> > of the oboe parts would be filtering that "frequency", wouldn't it?
> >
> > I guess I am agreeing with the original poster, and the answer as to
> > why we analyse signals in terms of trigonometric basis functions is
> > just mathematical (and design?) convenience.
> >
> > Doug
>
> >
> >
> >  In Doepfer_a100@yahoogroups.com <Doepfer_a100%40yahoogroups.com>,
> "laryn91" <caymus91@> wrote:
> > >
> > > I don't believe you can create a sine by adding signals with
> > overtones. You can transfer the
> > > energy around in the spectrum with specific phase cancellations.
> > But every time you
> > > cancel an overtone you create or reinforce another.
> > >
> > > In nature, sine functions are prevalent everywhere. On the other
> > hand, square waves are
> > > nonexistent and must always be synthesized. It would very
> > atypical for nature to miss
> > > something as mathematically elegant as sines in favor of something
> > more convoluted.
> > >
> > >
> > >  In Doepfer_a100@yahoogroups.com <Doepfer_a100%40yahoogroups.com>,
> "Monroe Eskew"
> > <monroe.eskew@> wrote:
> > > >
> > > > I'm curious about harmonics. I've been looking for an
> > explanation of why
> > > > different waveforms have different overtones. One explanation
> > offered is in
> > > > terms of Fourier series. Every periodic function can be
> > expressed as an
> > > > infinite sum of sine waves of increasing frequency and
> > decreasing amplitude.
> > > > If we look at the Fourier series for a given curve (like a
> > sawtooth or
> > > > square wave), then we can find the overtones by looking at the
> > terms in the
> > > > sum.
> > > >
> > > > Now I like mathematics, but I'm not satisfied by this
> > explanation. We can
> > > > express a function as a Fourier series, but we can also express
> > it in other
> > > > ways. Perhaps a sine wave can be expressed as an infinite
> > series of square
> > > > waves. Then a sine wave should have a lot of overtones.
> > > >
> > > > Here's my guess Qualitatively, different waveforms have
> > different sounds,
> > > > and this does not necessarily need to be interpreted as having
> > overtones.
> > > > However FILTERS are what truly reveal overtones. But the
> > function of a
> > > > filter is determined by the fact that its resonant frequency is
> > always a
> > > > sine wave. If we had square wave resonance, then we'd have
> > totally
> > > > different filters, with the square wave being the least affected
> > by the
> > > > filter.
> > > >
> > > > Is that more or less correct?
> > > >
> > > > Also, does the Fourier expression make the most sense to the
> > human ear?
> > > > (i.e. Does the human ear have something akin to sine wave
> > resonance?)
> > > >
> > > > Thanks,
> > > > Monroe
> > > >
> > > >
> > > > [Nontext portions of this message have been removed]
> > > >
> > >
> >
>
>
>
[Nontext portions of this message have been removed] 0 Attachment
>why is one decomposition favored?
In analog electronics, sine waves are everywhere due to the way
current and voltage behave in analog circuits. Building a filter in
this environment using a trig decomposition is easier than switching
to another decomposition.
In math, sine waves form a nice orthogonal basis, which makes the
decomposition easier to calculate.
In the ear, natural vibrations are probably best modeled with sines
and cosines. In other words, fewer basis functions are required to
describe the vibration when the trigonometric basis is used.
It seems that we want to believe that the mechanism of hearing
involves a decomposition into a trigonometric basis followed by a
cognitive synthesis. I'm not sure why this would be, and what this
model accomplishes, other than satisfying our urge for reductive
analysis armed with the most convenient mathematical language known to
us.
Doug 0 Attachment
> Pretty sure my original post on this subject is weak (or worse), but
There have been a lot of approaches to replace the Fourier
> I think this article might help. One should be able to construct an
> arbitrary periodic function using a nontrigonmetric basis. In other
> words, you *can* "create a sine by adding signals."
>
> http://ieeexplore.ieee.org/iel5/31/23557/01085543.pdf?
> arnumber=1085543
>
> Further, seems to me the ear can be trained to listen for nonsine
> basis functions (aka "overtones"). Take for example, the sound of
> two or more oboes. Pretty sure one could separate the parts by
> pitch, although the parts aren't themselves pure sines. Muting one
> of the oboe parts would be filtering that "frequency", wouldn't it?
>
> I guess I am agreeing with the original poster, and the answer as to
> why we analyse signals in terms of trigonometric basis functions is
> just mathematical (and design?) convenience.
>
> Doug
synthesis/analysis by another orthogonal basis of functions/waveforms (e.g.
Walsh functions/Hadamard transform or the Haar functions) especially because
rectangle based functions (like Walsh) can be generated much easier in the
digital world. But after all the Fourier version is the most "natural" one
as it conforms with the behaviour of the human sense of hearing. And it's
much easier to understand and to handle compared to other synthesis forms.
The other synthesis forms are mathematically correct but much more difficult
to handle and to understand compared to the simple overtone principle of the
Fourier synthesis that follows the human sense of hearing.
Just my point of view ...
Dieter Doepfer 0 Attachment
It's not just what's convenient. It may be found by scientific
investigation to be how the ear actually works. Much work has already been
done on this. Here is a good starting place for information:
http://en.wikipedia.org/wiki/Cochlea
Monroe
On Thu, Jul 3, 2008 at 7:09 PM, Doug <dougc356@...> wrote:
>
>
> It seems that we want to believe that the mechanism of hearing
> involves a decomposition into a trigonometric basis followed by a
> cognitive synthesis. I'm not sure why this would be, and what this
> model accomplishes, other than satisfying our urge for reductive
> analysis armed with the most convenient mathematical language known to
> us.
>
> Doug
>
>
>
[Nontext portions of this message have been removed] 0 Attachment
Another benefit to harmonic theory is it's intuitive and deep. Since humans find only a
small subset of possible sounds interesting for musical application, subtractive and
additive synthesis has made sound design relatively easy but powerful.
On the other hand, modulation type synthesizers (FM, AM, etc.) are completely non
intuitive and creating musical sounds with them is difficult.
I suppose someone could create a synthesizer based on something like polynomials  but
associating coefficient values to it's sound is not going to be anywhere near as intuitive as
direct harmonic manipulation.
 In Doepfer_a100@yahoogroups.com, "Monroe Eskew" <monroe.eskew@...> wrote:
>
> It's not just what's convenient. It may be found by scientific
> investigation to be how the ear actually works. Much work has already been
> done on this. Here is a good starting place for information:
> http://en.wikipedia.org/wiki/Cochlea
>
> Monroe
>
> On Thu, Jul 3, 2008 at 7:09 PM, Doug <dougc356@...> wrote:
>
> >
> >
> > It seems that we want to believe that the mechanism of hearing
> > involves a decomposition into a trigonometric basis followed by a
> > cognitive synthesis. I'm not sure why this would be, and what this
> > model accomplishes, other than satisfying our urge for reductive
> > analysis armed with the most convenient mathematical language known to
> > us.
> >
> > Doug
> >
> >
> >
>
>
> [Nontext portions of this message have been removed]
>
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