Application of Modified Lifting Wavelet in Modulation Recognition
Pengzhan Yan · Communications technology · 2012
Based on analysis of the digital modulation recognition based on lifting wavelet,a new feature extraction method is proposed.First,the optimal estimation theory is used to obtain the best prediction coefficients,then the feature is extracted according to the distribution of the decomposition with second generation wavelets,and finally by using SVM classification machine,the categorized identification of the signal is done.In order to determine the optimal coefficient,a universal solution using particle swarm optimization algorithm is presented.The computer simulation on the extracted feature values indicates that this new algorithm is feasible and practicable in engineering application.