4 citations · 10 across the 3 of their papers we have counts for
4 papers
Fully Dense Neural Network for the Automatic Modulation Recognition
Miao Du, Qin Yu, Shaomin Fei +3
Nowadays, we mainly use various convolution neural network (CNN) structures to extract features from radio data or spectrogram in AMR. Based on expert experience and spectrograms,…
A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms
Ruisen Luo, Tao Hu, Zuodong Tang +3
To solve the problem of inaccurate recognition of types of communication signal modulation, a RNN neural network recognition algorithm combining residual block network with attenti…
Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification
Chen Wang, Chengyuan Deng, Zhoulu Yu +3
The dynamic ensemble selection of classifiers is an effective approach for processing label-imbalanced data classifications. However, such a technique is prone to overfitting, owin…
Multi-layer Attention Mechanism for Speech Keyword Recognition
Ruisen Luo, Tianran Sun, Chen Wang +5
As an important part of speech recognition technology, automatic speech keyword recognition has been intensively studied in recent years. Such technology becomes especially pivotal…