The University of Southampton


Bai, Tong (2017) Discrete Multi-Tone Digital Subscriber Loop Performance in the Face of Impulsive Noise. University of Southampton doi:10.5258/SOTON/D0106 [Dataset]

Bai, Tong, Zhang, Hongming, Zhang, Rong, Yang, Lieliang, Al Rawi, Anas F., Zhang, Jiankang and Hanzo, Lajos (2017) Discrete multi-tone digital subscriber loop performance in the face of impulsive noise. IEEE Access. (doi:10.1109/ACCESS.2017.2712359).

Bai, Tong (2017) Joint Impulsive Noise Estimation and Data Detection Conceived for LDPC-Coded DMT-Based DSL Systems. University of Southampton doi:10.5258/SOTON/D0286 [Dataset]

Bai, Tong, Xu, Chao, Zhang, Rong, AI Rawi, Anas F. and Hanzo, Lajos (2017) Joint impulsive noise estimation and data detection conceived for LDPC-coded DMT-based DSL systems. IEEE Access. (doi:10.1109/ACCESS.2017.2766603).

Xu, Chao and Hanzo, Lajos (2018) Dataset for Adaptive Coherent/Non-Coherent Single/Multiple-Antenna Aided Channel Coded Ground-to-Air Aeronautical Communication. University of Southampton doi:10.5258/SOTON/D0687 [Dataset]

Xu, Chao, Zhang, Jiankang, Bai, Tong, Botsinis, Panagiotis, Maunder, Robert, Zhang, Rong and Hanzo, Lajos (2018) Adaptive coherent/non-coherent single/multiple-antenna aided channel coded ground-to-air aeronautical communication. IEEE Transactions on Communications. (doi:10.1109/TCOMM.2018.2877471).

Bai, Tong, Xu, Chao, Zhang, Rong, Al Rawi, Anas F. and Hanzo, Lajos (2019) Performance of HARQ-assisted OFDM systems contaminated by impulsive noise: Finite-length LDPC code analysis. IEEE Access, 7, 14112-14123. (doi:10.1109/ACCESS.2019.2891601).

Bai, Tong (2019) Dataset for Performance of HARQ-Assisted OFDM Systems Contaminated by Impulsive Noise: Finite-Length LDPC Code Analysis. University of Southampton doi:10.5258/SOTON/D0764 [Dataset]

Cong, Tianshuo, Wang, Jingjing, Guan, Sanghai, Mu, Yifei, Bai, Tong and Ren, Yong (2018) Big data driven oriented graph theory aided tagSNPs selection for genetic precision therapy. IEEE Access, 7, 3746-3754. (doi:10.1109/ACCESS.2018.2886926).


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