1. A method of identifying a clean signal feature vector from a noisy signal feature vector, the method comprising: identifying a mixture of distributions that provide prior probabilities for combinations of clean signal feature vectors and obscuring feature vectors; determining an observation variance to associate with the noisy signal feature vector; and using the prior probability mixture of distributions and the observation variance to identify the clean signal feature vector.