An intelligent classification system based on wavelet transform for analog modulations

In this study, an intelligent system developed for analog modülation recognition by using wavelet transform, artificial neural network (ANN) and adaptive network based fuzzy inference system (ANFIS). The MATLAB GUI provides performing of optimum analog modulation recognition with variable parameters. The wavelet transform methods was used for extracting of signal features, the ANN and ANFIS methods were used for classification. The %98 and %94 correct recognition rates were obtained by using ANN and ANFIS classification respectively. These show that both of these methods are effective in analog modulation recognition. Key words: Automatic Analog Modulation Recognition, Pattern Recognition, Wavelet Transform, Entropy, ANN, ANFIS, Feature Extraction , Classification, MATLAB GUI.