John Curl's Blowtorch preamplifier part III

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If that peak amplitude is of very short duration, it falls outside our hearing ability anyways. So filtering it does no harm and is actually something that should be done, not just pre-ADC, but also before an amplification stage.
My concern is that information is lost. In my example of 5x20 modulation, the envelope itself is information. And that information is split between upper and lower side bands. If one sideband is arbitrarily removed, will the envelope be the same.

Jn
 
My concern is that information is lost. In my example of 5x20 modulation, the envelope itself is information. And that information is split between upper and lower side bands. If one sideband is arbitrarily removed, will the envelope be the same.

I thought of something last night that might relate to the Nyquist and ITD issues. I suspect the phase rotation of the tone near fs/2 and its image is preserved and removing the image with a reconstruction filter changes the envelope but not the phase (or at least both channels are disturbed the same amount). This is why the short FFT's maintain the ability to track the frequency drift with such resolution.
 
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I know. I have spent the last few months avoiding this thread because of the acrimony.

I suspect I will again pull back for a while, as it is rather refreshing to not have to deal with those who simply come to argue.
Happy new year Scott.
Jn

Likewise, I dip in here every once in a while and leave sad that so many people have an axe to grind..and no wood to be found!😉

Happy New Year all...
Howie
 
I thought of something last night that might relate to the Nyquist and ITD issues. I suspect the phase rotation of the tone near fs/2 and its image is preserved and removing the image with a reconstruction filter changes the envelope but not the phase (or at least both channels are disturbed the same amount). This is why the short FFT's maintain the ability to track the frequency drift with such resolution.

We are in violent agreement.

Jn
 
Waveform and pattern recognition in sound may be affected........

Sound Envelopes. The envelope represents the varying level of a sound wave over time and is broken down into four areas; attack, decay, sustain and release. Jun 28, 2018

It could be another key to the mystery. Please explore that for me/us a lot more.

Duration Pattern Recognition in Normal Subjects and Patients with Cerebral and Cochlear Lesions. Three groups of subjects were tested on a duration pattern recognition task. ... Results indicated no significant difference in pattern recognition between the normal subjects and subjects with cochlear hearing loss.

and--

Pattern recognition (psychology) - Wikipedia



THx-RNMarsh
 
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My concern is that information is lost. In my example of 5x20 modulation, the envelope itself is information. And that information is split between upper and lower side bands. If one sideband is arbitrarily removed, will the envelope be the same?
Of course not. Rewritten: If I have a 15+25kHz twin tone and low-pass filter at 20kHz, will the envelope be the same?

And btw, the concept of envelope is flawed. In the 5x20/15+25 example, it is hard to spot something that is a clear envelope, especially when one freq is not an integer multiple of the other. Envelope get clearer the less frequency difference we have. 19+20kHz do have a clear beating envelope, 15+25 doesn't.
 
A small cymbal recorded at 24/192 exhibits energy well above 20kHz. It will be available in my dropbox for a limited time: Dropbox - Cymbal 24-192.wav - Simplify your life
Perfect for me. Nothing precede the attack. No excess of brightness, I can hear the stick, very natural sounding with no distortion.
Now, even normalizing the level, please note the very low average level. It gives an idea of what is requested as peak margins, and one of the problems of producing music in studios.
 
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As cddb tried to show, mathematically synthesized signals of sampling show the entire result including the images and aliasing. You can not simply send the waveform that the bit stream represents out of a DAC without removing the images (any aliasing remains). Unless you're a NOS advocate.

The picture shows the spectrum (dB vs frequency) of the 20kHz example with 8x oversampling (352.8kHz) using zero stuffing. Using a general purpose math tool like Python/numpy I can make a perfect brickwall filter by simply zeroing all the bins past 22050 (this is a real only FFT) and get the expected perfect sine wave taking the inverse FFT.

Sad most of the argument here had been over simply that if you want to record an instrument that goes out to 50kHz you need to sample at 100kHz. This was always just plain obvious.
 

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