This paper deals with modulation classification, First, a state of the art is given which is separated into two classes: the pattern recognition approach and the Maximum Likelihood (ML) approach. Then we propose a new classifier called the General Maximum Likelihood Classilier (GMLC) based on an approximation of the likelihood function. We derive equations of this classifier in the case of line...
