Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Digital modulation classification using constellation shape
Signal Processing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Digital Signal Types Identification Using a Hierarchical SVM-Based Classifier and Efficient Features
ICCTA '07 Proceedings of the International Conference on Computing: Theory and Applications
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An expert system is proposed for the problem of recognition of digital signals. In this system, a neural network with self-adaptive step-size learning algorithm is proposed for determination of class of signal based on the extraction the prominent characteristics. Higher order statistics are used as the impressive characteristics of the signals. In order to select the best features, we have used a genetic algorithm. Experimental results show that the proposed system has a percentage of correct recognition higher than 93% for SNR3dB.