Modulation classification using wavelet transform
作者： Yu-Chuan Lin , C.-C. Jay Kuo
DOI: 10.1117/12.188776
关键词:
摘要: The wavelet transform has found applications in singularity classification/detection of signal waveforms. In this research, we apply the Morlet to detect phase changes, and use change rate as a feature for classification PSK modulation schemes. likelihood function alphabet size with respect number symbol change, which corresponds signals, is derived by assuming that transmitted sequence i.i.d. equally likely distributed an set. problem can then be formulated ratio test using hypothesis testing technique. We show performance BPSK/QPSK CW/BPSK classifiers numerical experiments.
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