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Excuse me, but it's very rude of you to misteach this.

NOTHING in the sampling theorem requires samples to be "infinitely valued".

The ONLY thing the sampling theorem depends on is 1) the validity of the Fourier integral, which is valid for all real signals, and 2) the validity of the convolution theorem for the Fourier Transform.

Nothing more is required for the proof. End of discussion.

You DO, in your model, of course, ensure that your MODULATED signal (that you described elsewhere) is still meeting the Nyquist conjecture, aren't you, and you ARE dithering the quantizer, right?

I don't think you're an idiot, but you're wrong about the sampling theorem, all it requires is stated above. No need for "infinitely valued" data at all.

Quantization and sampling can be handled independently. The only thing that quantization introduces into sampling is a noise floor.


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