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Table 5 Confusion matrix of the testing samples (SNRtr= − 10 dB)

From: A robust modulation classification method using convolutional neural networks

Actual type Classification result
  M-ASK M-FSK M-PSK M-QAM OFDM LFM MSK
  2 4 8 2 4 8 2 4 8 4 16 64    
2ASK 950 33 16 0 0 0 0 0 0 0 0 1 0 0 0
4ASK 65 553 382 0 0 0 0 0 0 0 0 0 0 0 0
8ASK 21 329 650 0 0 0 0 0 0 0 0 0 0 0 0
2FSK 0 0 0 1000 0 0 0 0 0 0 0 0 0 0 0
4FSK 0 0 0 0 1000 0 0 0 0 0 0 0 0 0 0
8FSK 0 0 0 0 1 997 0 0 0 0 0 0 0 0 2
2PSK 0 0 0 0 0 0 1000 0 0 0 0 0 0 0 0
4PSK 0 0 0 0 0 0 0 956 44 0 0 0 0 0 0
8PSK 0 0 0 0 0 0 0 93 907 0 0 0 0 0 0
4QAM 0 0 0 0 0 0 0 0 0 999 0 1 0 0 0
16QAM 0 0 0 0 0 0 0 0 1 8 726 265 0 0 0
64QAM 0 0 0 0 0 0 0 0 0 6 192 802 0 0 0
OFDM 0 0 0 0 0 0 0 0 0 0 0 0 985 15 0
LFM 0 0 0 0 0 0 0 0 0 0 0 0 0 1000 0
MSK 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1000