[2] HAZZA A,SHOAIB M,ALSHEBEILI S A. An overview of feature-based methods for digital modulation classification[C]// International Conference on Communications,Signal Processing,and their Applications(ICCSPA). Sharjah,United Arab Emirates: IEEE, 2013:1-6.
[3] PENG S,JIANG H,WANG H. Modulation classification based on signal constellation diagrams and deep learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2018,30(3):718-727.
[4] RAYMUNDO A A,AKHTAR M Z,FELIPE S J. Feature pooling of modulation spectrum features for improved speech emotion recognition in the wild[J]. IEEE Transactions on Affective Computing, 2018,12(1):177-188.
[6] LI X,DONG F,ZHANG S,et al. A survey on deep learning techniques in wireless signal recognition[J]. Wireless Communications and Mobile Computing, 2019(179):1-12.
[9] MANSOURI M,BAKLOUTI R,HARKAT M F,et al. Kernel generalized likelihood ratio test for fault detection of biological systems[J]. IEEE Transactions on Nanobioscience, 2018,17(4):498-506.
[11] KANEKO T,TAKAKI S,KAMEOKA H,et al. Generative adversarial network-based postfilter for STFT spectrograms[C]// IEEE International Conference on Acoustics. Stockholm,Sweden:IEEE, 2017:3389-3393.
[12] WANG G,CHEN S,HUANG J,et al. Radar signal sorting and recognition based on transferred deep learning[J]. Computer Science and Application, 2019,9(9):1761-1778.
[13] WANG D,ZHANG M,LI Z,et al. Modulation format recognition and OSNR estimation using CNN-based deep learning[J]. IEEE Photonics Technology Letters, 2017,29(19):1667-1670.