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- Path: susx.ac.uk!peterbe
- From: peterbe@cogs.susx.ac.uk (Peter Beck)
- Newsgroups: comp.sys.amiga.audio
- Subject: Re: Paula chip and Amiga audio
- Date: 15 Mar 1996 14:41:35 GMT
- Organization: University of Sussex
- Distribution: world
- Message-ID: <4ibviv$jph@infa.central.susx.ac.uk>
- References: <wfblanDL5rJB.IK8@netcom.com> <wfblanDLKurL.6rz@netcom.com> <4e05du$4dv@serpens.rhein.de> <judas.0ho5@tomtec.abg.sub.org> <4ekcsm$13p@news.jhu.edu> <4fk2i7$bni@nntp.texas.net> <4g0gv9$aoq@infa.central.susx.ac.uk> <4g1maa$buu@serpens.rhein.de> <4gqn1g$e5n@infa.central.susx.ac.uk> <19960226.424EB0.4E16@am177.du.pipex.com> <4he8k9$kn8@infa.central.susx.ac.uk> <19960304.49D0E0.F336@ak151.du.pipex.com>
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- Mathew Hendry (m.hendry@dial.pipex.com) has been known to utter the following:
-
- : I know they are. The problem is that the definition of noise you gave implies
- : that they are not.
-
- The definition of noise that I gave was that noise in general is
- usually white noise, or random noise like white noise within the frequency
- spectra in which we are interested.
- This is exactly what quantisation noise is, - noise within the spectra of
- the sampling system.
-
- : : : These effects are not random, therefore by the above definition they do not
- : : : constitute noise.
- : :
- : : : These effects are heavily dependent on the input signal, therefore by the
- : : : above definition they do not constitute noise.
- : :
- : : They are also heavilly dependent on the speed of the A/D converter and the
- : : accuracy of the internal D/A converter, and external effects such as noise
- : : which are picked up internally.
-
- : None of these effects are random, other than external noise. Adding extra
- : non-random effects to a non-random process cannot suddenly make it random.
-
- Nonsense. The amount of time taken to convert an Analogue signal into
- Digital is completely random, especially when when the input signal is
- changing all the time. Unless of course you are using flash A/D
- conversion, which is AFAIK not what most audio sampling systems use.
- The fact the the time taken to convert a signal is random, means that a
- random element is picked up during quantisation.
-
- : Consider an ideal sampling/quantization process. For such a process the errors
- : introduced are completely non-random, and completely dependent on the input
- : signal, the quantization steps and the sampling rate. The definition of noise
- : you gave therefore implies that ideal sampling/quantization is completely
- : noiseless.
-
- : So either your definition of noise is incorrect, and the ideal process _is_
- : noisy, or it is correct, and ideal quantization is not noisy after all. Now
- : which is it? Either one will invalidate some of your claims, but I'd bank on
- : the former myself.
-
- An ideal system implies that there is no noise or distortion, does it not?
- That is why it is an ideal system.
-