1. A method of recognizing pattern states from a noisy signal, the method comprising: removing noise from a representation of a portion of the noisy signal to produce a representation of a portion of a cleaned signal; identifying an uncertainty associated with removing the noise; using the uncertainty to adjust a probability distribution to form a modified probability distribution; and applying the representation of a portion of the cleaned signal to the modified probability distribution to decode a pattern state.