Firstly, this method uses convolutional neural network to extract the data features of coding sequence and also avoids the problem of low recognition accuracy ...
In this paper, an algorithm based on probability statistics and Galois field Fourier transform (PS-GFFT) is proposed to identify the parameters of RS codes. A ...
Jan 2, 2023 · A blind recognition algorithm of channel coding based on a convolutional neural network (CNN) is proposed.
Missing: BLSTM. | Show results with:BLSTM.
This paper introduces a modulation recognition system for recognizing UWAC signals based on higher-order cumulants and deep learning. The system achieves blind ...
A blind channel coding recognition algorithm based on CNN-BLSTM is proposed that uses convolutional neural network to extract the data features of coding ...
Jan 2, 2023 · The simulation results show that the proposed algorithm expands the recognition range of existing types of channel codes, and for the first time ...
Missing: BLSTM. | Show results with:BLSTM.
This paper proposes a channel code recognition algorithm based on two types of neural networks including bi-directional long short-term memory (BiLSTM) and ...
Missing: BLSTM. | Show results with:BLSTM.
The implementation of the invention can be used for solving the problem of channel coding identification in the cognitive radio environment.
This paper proposes a Residual Network (RN)-based model for identifying 6 kinds of STBC signals with a single receiving antenna, including the same length of ...
BLSTM network is further used to extract the temporal context of state information to improve the performance of activity recognition. ... The dominant features�...