SSRCNN: A Semi-Supervised Learning Framework for Signal Recognition

Dong, YH; Jiang, XH; Cheng, L; Shi, QJ

Shi, QJ (corresponding author), Tongji Univ, Sch Software Engn, Shanghai 201804, Peoples R China.; Shi, QJ (corresponding author), Shenzhen Res Inst Big Data, Shenzhen 518172, Peoples R China.

IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2021; 7 (3): 780

Abstract

Due to the emergence of deep learning, signal recognition has made great strides in performance improvement. The success of most deep learning methods......

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