As a maybe parting and hopefully good natured greeting, for those apparently convinced they are supported by rigorous and scientific thinking, time domain response of a filter occurs by convolution with the digital signal. A short filter as used by many, probably most, dacs, produces inter-sample time domain errors compared with an accurate full sinc function required by the Nyquist criteria for reconstruction. If I'm wrong, explain please, since apparently I don't think much..
A short, narrow windowed FIR filter can give an error in contribution on inter-sample reconstruction say 100 samples from the function peak, and the error, in terms of contribution from an individual digital sample, is frequently off by tens of dB compared to what it should be. These errors are very largely hidden in the frequency domain when measured by FFT, i.e. spectrum analyser.
This may be why, for some of us, on a bad day, digital sounds like a very small man with a nail gun is riding on the reconstructed waveform. Not an ideal analogy.
A short, narrow windowed FIR filter can give an error in contribution on inter-sample reconstruction say 100 samples from the function peak, and the error, in terms of contribution from an individual digital sample, is frequently off by tens of dB compared to what it should be. These errors are very largely hidden in the frequency domain when measured by FFT, i.e. spectrum analyser.
This may be why, for some of us, on a bad day, digital sounds like a very small man with a nail gun is riding on the reconstructed waveform. Not an ideal analogy.