M. R. Hidayat, M. A. Wibisono, Yana Yohana, S. Sambasri, Y. Zainal
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Analysis of Frequency Modulation Identification Based on Decision Tree Algorithm with AWGN Channel
A decision tree algorithm for identification of frequency modulation analog and digital signal are formulated. The paper constructed identification parameters with minimized knowledge of signal characterization between digital and analog signal with AWGN Channel. Moreover the plotting noise is being plotted for each identified modulation. Indication performance based on binary decision threshold has represented and resulted signal-to-noise as high as 5 dB with computer simulation
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