[HAM] Vedr. Re: Vedr. Re: The New B-3Brad Baker b3jazz at gmail.comFri Feb 1 18:28:15 CST 2008
On Feb 1, 2008 5:56 PM, Carl Mal <carl_mal at hotmail.com> wrote: > How can digital not be an approximation? Digital is discreet steps > -vs- analog's continuously varying voltage. First about sampling, then about quantization. From the Nyquist-Shannon sampling theorem: http://en.wikipedia.org/wiki/Nyquist%E2%80%93Shannon_sampling_theorem "Exact reconstruction of a continuous-time baseband signal from its samples is possible if the signal is bandlimited and the sampling frequency is greater than twice the signal bandwidth." This is a theorem that describes sampling, not quantizing. This could be achieved for example if one used a D/A converter with an infinite number of bits. Each sample would equal the actual voltage of the input signal at the sampling instant - not a quantized version of that voltage. This is not a realistic system. > By approximation, I mean the anti-aliasing filter that interpolates > between the steps is "approximating". The anti-aliasing filter does not interpolate between steps. Its purpose is to band limit the input signal so that aliasing does not occur. Any signal that is lower in frequency than its cutoff will be unaffected in amplitude, frequency and, if it is a proper filter, phase. In real systems which quantize the input signal, any signal within the Nyquist bandwidth (less than half the sampling frequency) will be sampled at the sampling instant and its value will be quantized or rounded to the nearest quantization level, dependent upon the resolution (number of bits) of the A/D converter. The result of this quantization is an error. The error is the difference between the actual level of the input signal and the level to which it is quantized. The result is that for each sample, the digitized signal is equal to the actual input value at the sample point plus the error value. The error shows up as a pattern-dependent noise component. This noise can be reduced to an arbitrarily low level by various techniques, for example increasing the number of bits in the converter (dynamic range is roughly 6 dB per bit). Also there are other techniques, dither, noise shaping, that can be used to make this noise inaudible in practice. Sorry for the pedantry. I'll go back to sleep now. -- --- b r a d b a k e r ---\\
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