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This paper proposes a modulation recognizer based on the feature vectors obtained by Intrinsic Time-scale Decomposition(ITD) algorithm and Support Vector Machine(SVM). ITD is employed to extract time-frequency information of communication signals and the obtained feature vectors are transformed into lower-dimensional subspace according to Fisher analysis theory. Multiclass SVM is employed to modulation...
This paper presents the feature of energy distribution parameters for power spectrum. Then based on the spectrum analysis, an OFDM recognition method is proposed using the energy distribution parameter P, the kurtosis coefficient of the power spectrum and the power spectrum parameter R. Power spectrum is preprocessed to eliminate the effect of signal bandwidth, sampling rate, carrier frequency and...
Automatic modulation recognition is extremely important for the receiver design in the broadband multimedia communication system. Based on the intrinsic time-scale decomposition algorithm for feature extraction on which the instantaneous amplitude, phase and frequency is precisely defined, this paper proposed a feature selection algorithm to find the features with high distinguishing capacity and...
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