John Curl's Blowtorch preamplifier part II

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I gave it- don't fall for quacks. Too late for you, but perhaps not for others.

the quote is a LOT more helpful and specific! The variables are noted.

I didnt use a lab that suggested what to do with the data nor doctor that suggested any such application. Thus, no quackery. This report however, is not unlike many other lab tests - lab to lab - even for blood tests are not identical. Even engine Dynomometers vary on the output results within the same maker and esp between brands which may use different methods to derive the answeres. that does NOT make any of them useless nor quakes. Of course, more than just this one test is needed to get a full and more complete picture.... even saliva tests.

Thanks for the more direct and less confrontational info. -RNM
 
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simon7000 said:
The other issue is that when the CR circuit is presented with a nonsinusoidal waveform that the output may be a waveform that has additional frequency components. That is harmonic distortion. The issue is what is a non-periodic waveform (as Fourier provides that all periodic waveforms are composed of multiple sine waves) will do when presented with a C to R circuit. So this is not an issue of Fourier analysis but one of sampling theory.
You still don't get it, do you? A CR circuit (assuming it is made of linear components, which may include DA) does not add any frequency components! It merely adjusts the amplitude and phase of the components in the input signal. It does not add new frequency components. Sampling theory is completely irrelevant, as no sampling is taking place.

A single piece of music might not be periodic, but any section of it is likely to be approximately periodic. Repeating it makes it periodic. Unless you are claiming that repeating a track will make it sound different through a CR filter than playing it once then we have established perodicity, and we know that music has no discontinuities so Fourier works. No new frequency components, so no non-linear distortion. All we have is a tone control! It really is that simple. I am baffled why you find this so hard to accept. Why continue to assert something which is simply not true?
 
But you don't have to. The looping thing is a conceptual aid for those who don't get the idea that ANY continuous time domain signal of less than infinite duration can be Fourier transformed.

Oh yes, but Fourier series require periodic function. Fourier transform of time domain signal that starts and ends somewhere will always have frequency domain up to infinite frequency.
 
Scott,

We are almost talking about the same thing. If you have a recording of music, in the process you are band limiting it and the result may be considered periodic.

ES

I band limit on the low end by turning my recorder on then later off. If you want we can band limit on the high end well beyond 20k and sample at a higher frequency. In either case this process does not make the signal "periodic". I was talking about a single recording not looped. At 44.1k we can get about 95 seconds in a 4Meg file, easy to play with in Octave or the free MathCad that comes with the book.

DF96 is right, I don't know where this processing real music through an R/C makes signals at new frequencies came from.
 
Oh yes, but Fourier series require periodic function. Fourier transform of time domain signal that starts and ends somewhere will always have frequency domain up to infinite frequency.

Not relevant to the claim of new frequencies being created. Windowing is your friend in general, but in this case I was simply stating that a set of time domain data and its FFT are a unique reversable process. Using double precision math 24 bit original data should be exactly recovered with a simple ceiling or floor roundoff (forgot which one).
 
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the singularity stuff is very silly.

I do remember reading Omni magazine around 1980. If it was Vernor Vinge’s work, I can’t tell.
I would like very much to confine myself to technological issues.
But history is a source of worry as to what sick minds do with every powerful outcome of science and technology. (Excuses were always available).

A significant problem is that unfriendly artificial intelligence is likely to be much easier to create than friendly AI. While both require large advances in recursive optimisation process design, friendly AI also requires the ability to make goal structures invariant under self-improvement (or the AI could transform itself into something unfriendly) and a goal structure that aligns with human values and does not automatically destroy the human race. An unfriendly AI, on the other hand, can optimize for an arbitrary goal structure, which does not need to be invariant under self-modification

Technological singularity - Wikipedia, the free encyclopedia



Me, I naively point to Asimov’s three rules.


George
 
But you don't have to. The looping thing is a conceptual aid for those who don't get the idea that ANY continuous time domain signal of less than infinite duration can be Fourier transformed.

SY,

Lets take a flute sounding a note. This was one of the sounds that gave early electronic music systems problems. It starts out as air noise and then begins to resonate around a note and sort of settles in and then finally fades out. If you want to use Fourier analysis on that you do need to loop it. (To get useful practical data.)

Now if you do an analog recording of it, you add noise, some distortion and bandwidth limiting to mention the most common problems.

When you record it digitally there are sampling issues that arise. These are well correlated with bandwidth limits.



Scott,

As an example we may have a signal such as noise that we may model as a random series of unit impulses. Each unit impulse can be considered to have a very large number of harmonics. (limited in practice not theory.) When they pass through an RC filter the harmonics will have changed in level and phase. Now a change in harmonic levels most consider harmonic distortion.

As there are in theory infinite harmonics to that extent there can be no new ones.

Now is there a non-periodic signal that does not have infinite harmonics?
 
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If you want to use Fourier analysis on that you do need to loop it. (To get useful practical data.)

No, not really. That may help s/n, but in these days of modern times, it's trivially easy to get more than enough s/n in a single shot. Back in the early synthesizer period, getting 24 bits, nanovolt noise floors, and multihundred kHz sample rates was unimaginable.
 
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No, not really. That may help s/n, but in these days of modern times, it's trivially easy to get more than enough s/n in a single shot. Back in the early synthesizer period, getting 24 bits, nanovolt noise floors, and multihundred kHz sample rates was unimaginable.

Ed
Stuart is right here, but (as you say) it will be better to loop it, not only S/N related (as Stuart claims)

Cheers
Stein
 
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Pavel, stating a symphony starts at T = 0 and ends an hour later means that it has infinite frequency spectrum only confuses the issue. The errors in the math can be reduced to an arbitrarily small number.

Did Pavel mention a symphony? I think he said "any time domain signal of finite length has infinite frequency spectrum" and he is right.

Cheers
Stein
 
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