Codes for unsupervised learning of source and binary channel probabilities

Codes are constructed for communicating an alphabet consisting of two letters over an unknown, stationary binary channel. The code words, their a priori probabilities, and channel parameters are unknown at the receiver. Consistent estimators for the code words and their a priori probabilities are constructed at the receiver