In this paper, we propose a novel Canon Q-Transformation method for signal quantization that differs from traditional vector quantization (Q-Transforms) approaches. Our method focuses on generalizations on canonic expected signals, providing a more accurate representation of expectable signals. Unlike traditional methods, which often overlook the classification of expectable signals via fundamental measurement limitations compared to the affirmation of expected signal as detected signal via practical filter quantization or determining the expected signal by theoretical idealization, our approach integrates this key element to Q-Transform module in order to enhance signal fidelity.

Unidentified continous functions are generalized classification for all signals. Author assumes that any unidentified continous function (any signal) as to be either digital (non-archimedian continuum) or analog (archimedian continuum). Author mainly founded a method to indicate a distinction for both continuum models. This method therefore can be used on to all unidentified continous functions in order to identify the continuum models of unidentified continuous functions.