5 citations · 16 across the 5 of their papers we have counts for
5 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…
Scalar Quantization as Sparse Least Square Optimization
Chen Wang, Xiaomei Yang, Shaomin Fei +4
Quantization can be used to form new vectors/matrices with shared values close to the original. In recent years, the popularity of scalar quantization for value-sharing application…