Modulation Recognition Method Based on Wavelet Transform
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Resource Overview
A wavelet transform-based modulation recognition system featuring signal source generation for QAM, PSK, FSK, AM, and OFDM signals, classification algorithms for QAM/PSK/FSK signals using wavelet features, wavelet-based differentiation between OFDM and single-carrier digital signals, and OFDM-analog signal classification leveraging autocorrelation properties.
Detailed Documentation
This method implements modulation recognition through wavelet transform analysis of signals. The system includes signal generation modules for QAM (Quadrature Amplitude Modulation), PSK (Phase Shift Keying), FSK (Frequency Shift Keying), AM (Amplitude Modulation), and OFDM (Orthogonal Frequency Division Multiplexing). The implementation provides wavelet-based classification algorithms that extract distinctive time-frequency features to distinguish between QAM, PSK, and FSK modulation types. A separate algorithm utilizes wavelet transform coefficients to differentiate OFDM signals from single-carrier digital signals by analyzing their multi-carrier characteristics. Another algorithm classifies OFDM versus analog signals by computing and comparing autocorrelation properties, where OFDM signals exhibit specific cyclic prefix correlations. These programs enable comprehensive identification and analysis of various modulation schemes through systematic feature extraction and pattern recognition techniques.
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