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- W2377584132 abstract "Applying high order cumulants and support vector machines(SVM),an algorithm is proposed for automatic recognition of digital communication signals.Using the forth,sixth and eighth orders of signals,the new algorithm forms five new classification features at first,then identifies eight types of signals by binary tree-based SVM as the classifier.Computer simulation indicates that the algorithm outperforms the one based on BT-SVM,and the rate of accurate classification is over 90% when SNR is above 5dB." @default.
- W2377584132 created "2016-06-24" @default.
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- W2377584132 date "2010-01-01" @default.
- W2377584132 modified "2023-09-23" @default.
- W2377584132 title "Automatic Recognition of Digital Modulation Signals by Applying High Order Cumulants and Support Vector Machines" @default.
- W2377584132 hasPublicationYear "2010" @default.
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