Dr Gary-
It might be helpful to consider extremes.
One bit sampling.
The only information collected is whether the current sample is greater
than or less than the preceding sample. This is one bit A/D, the smallest
digital dynamic range one can get. If samples are close enough together(in
time relative to the bandwidth) we can recreate a complex signal from this
lowest possible digital dynamic range. Consider pointillism(dot frequency)
in black and white as an two dimensional version of this.
Bin sampling.
You mentioned familiarity with bin sampling. The level of a sample is
measured and recorded. Doing this at the Nyquist frequency allows for
recreation of a the signal. Consider halftone(dot size at a fixed
frequency) in black and white as a two dimensional example.
A combination of the two approaches allows for optimization. One can
compare radios in dynamic range by looking at the sample rate combined with
the number of bits in each sample. Consider B&W photographic film as a two
dimensional example.
73, -Bob ah7i/w4
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