1. A method of identifying an estimate for a clean signal random variable representing a portion of a clean signal found within a noisy signal, the method comprising: defining a mapping random variable as a function of at least the clean signal random variable and a noise random variable; determining a model parameter that describes at least one aspect of a distribution of values for the mapping random variable; and using the model parameter to determine an estimate for the clean signal random variable from an observed value.