This project utilizes three deep learning models, DNN, CNN, and LSTM, for the classification and recognition of 11 modulation types, including BPSK, QPSK, 8PSK, 16QAM, 64QAM, PAM4, GFSK, CPFSK, B-FM, DSB-AM, and SSB-AM, under varying signal-to-noise ratio conditions.
☆25Apr 29, 2024Updated last year
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