Thanks. Alas, it is still full of nonsense. Take this part:

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So first we are told something is "fairly" bit perfect. Fairly? If something is bit-perfect, then it can't be an approximation. You can't bastardize the term that way.

It then gets worse in the next paragraph when he talks about "interpolated samples." How the heck interpolated samples are "bit exact" and what goes in is what goes out???

If this is a FIR filter, then all the new samples are generated based on N number of samples around it. There is no notion of bit-perfect anything. You are filtering and the point of filtering is to modify the samples to get rid of their high frequency components. How do you land with bit-perfect?

On the math, that is a theoretical solution to the filter. Once implemented in a DSP, approximations are almost always made and there, the accuracy is no longer there. This is what I meant by "resolution."

Anyone else can make sense out of what he is saying?