Algorithm for modulation recognition in a time-variant multipath channel environment;

The application of support vector machine to digital signal modulation recognition system;

Hierarchical digital modulation recognition using support vector machines;

Study on efficient adaptive clustering algorithm based modulation identification;

Method of modulation identification for digital communication signals;

A blind equalization based algorithm of modulation identification in multipath channel enviroments;

Automatic digital modulation classification algorithm based on novel combined feature vector

A new method of modulation classification for digital communication signals,using normalized fourth-order cumulants as characteristics and a covering algorithm for constructing neural networks as a classifier,is proposed.

Noises and fading channel are very important factors affecting the success rate of modulation classification in practical situation.

Signal modulation identification is one of the important elements most in adaptive transmission.