Zeliang An

Orcid: 0000-0002-9947-9634

According to our database1, Zeliang An authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Lab to Multiscene Generalization for Non-Line-of-Sight Identification With Small-Scale Datasets.
IEEE Trans. Artif. Intell., February, 2024

2023
Multimodality-Aided Multicarrier Waveform Recognition in Low SNR Regimes Based on Denoised Cyclic Autocorrelation Transformation.
IEEE Trans. Aerosp. Electron. Syst., October, 2023

Research on Blind Recognition Algorithm of Channel Coding Based on One-Dimensional Convolutional Neural Network Under the Low SNR Regime.
Neural Process. Lett., October, 2023

Robust Payload Recognition Based on Sensor-Over-Muscle-Independence Deep Learning for the Control of Exoskeletons.
IEEE Trans. Circuits Syst. II Express Briefs, September, 2023

Correcting Non-Binary Burst Deletions/Insertions with De Bruijn Symbol-Maximum Distance Separable Codes.
IEEE Commun. Lett., August, 2023

2022
Series-Constellation Feature Based Blind Modulation Recognition for Beyond 5G MIMO-OFDM Systems With Channel Fading.
IEEE Trans. Cogn. Commun. Netw., 2022

An Advancing Temporal Convolutional Network for 5G Latency Services via Automatic Modulation Recognition.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Measuring Dependence for Permutation Alignment in Convolutive Blind Source Separation.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

A Two-Stage High-Order Modulation Recognition Based on Projected Accumulated Constellation Vector in Non-Cooperative B5G OSTBC-OFDM Systems.
Signal Process., 2022

Blind High-Order Modulation Recognition for Beyond 5G OSTBC-OFDM Systems via Projected Constellation Vector Learning Network.
IEEE Commun. Lett., 2022

2021
A blind source separation method for time-delayed mixtures in underdetermined case and its application in modal identification.
Digit. Signal Process., 2021

Blind multicarrier waveform recognition based on spatial-temporal learning neural networks.
Digit. Signal Process., 2021

EPSTO-ARIMA: Electric Power Stochastic Optimization Predicting Based on ARIMA.
Proceedings of the 9th IEEE International Conference on Smart City and Informatization, 2021


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