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江苏大学计算机科学与通信工程学院导师教师师资介绍简介-高伟

本站小编 Free考研考试/2021-03-13

教师姓名:  高伟
职务职称:  副教授
所属系部:  物联网工程系
研究方向:  非线性滤波、自适应噪声抵消、阵列信号处理
联系电话:  **
电子邮箱:  wei_gao@ujs.edu.cn
个人简介


教育背景:
2015.02-2016.01:法国国家科学研究中心拉格朗日实验室(CNRS 7293),博士后
2012.10-2015.12:法国尼斯-索菲亚-昂蒂波利大学,工程科学专业(信号处理),工学博士
2010.04-2014.12:西北工业大学,信息与通信工程专业,工学博士
2007.09-2010.03:西北工业大学,信号与信息处理专业,工学硕士
2003.08-2007.07:德州学院,电子信息工程专业,工学学士
主要研究方向:
基于核方法的自适应滤波算法研究;非线性自适应噪声抵消;非线性信道均衡;水声阵列信号处理等。
学术活动:
IEEE会员 (S’11-M’16);中国电子学会会员;
曾担任IEEE TNNLS;IEEE SPL;IEEE Transactions on Circuits and Systems I; ELSEVIER DSP;Neurocomputing等期刊以及ICSPCC 2014,GlobalSIP 2015国际会议审稿人。




教研成果


期刊文章
[J1]Gao Wei, Chen Jie, Richard Cédric and Huang Jianguo. Online dictionary learning for kernel LMS[J]. IEEE Transactions on Signal Processing, 2014, 62(11): 2765-2777.
[J2]Gao Wei, Huang Jianguo, Han Jing. Multi-channel differencing adaptive noise cancellation with multi-kernel method[J]. Journal of Systems Engineering and Electronics, 2015, 26(3): 421-430.
[J3]Gao Wei, Huang Jianguo, Han Jing, Zhang Qunfei. Theoretical convergence analysis of complex Gaussian kernel LMS algorithm[J]. Journal of Systems Engineering and Electronics, 2016, 27(1): 39-50.
[J4]高伟, 黄建国, 韩晶. 基于多核学习的在线非线性自适应滤波算法[J]. 系统工程与电子技术, 2014, 36(8): 1473-1477.
[J5]高伟, 黄建国, 王海强, 张群飞. 基于子空间估计的MIMO阵列降维STAP方法[J]. 系统工程与电子技术, 2012, 34(5): 58-63.(EI: 981)
[J6]高伟, 黄建国, 徐振华, 张群飞. 基于二阶锥优化方法的MIMO阵列发射方向图设计[J]. 电子与信息学报, 2012, 34(5): 1126-1130.
会议文章
[C1]Gao Wei, Chen Jie, Richard Cédric and Huang Jianguo. Diffusion adaptation over networks with kernel least-mean-square[C]. Proc. of IEEE Int. Conf. Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015, pp: 1-4, Cancun, Mexico.
[C2]Gao Wei, Zhang Lingling, Han Jing, Huang Jianguo. Predistorter design for nonlinear high power amplifiers with multikernel adaptive filtering[C]. Proc. of IEEE Int. Conf. Signal Process. Comm. Computing (ICSPCC), 2015, pp: 1-5, Ningbo, China.
[C3]Gao Wei, Chen Jie, Richard Cédric, Bermudez M. Jose-Carlos and Huang Jianguo. Convergence analysis of the augmented complex KLMS algorithm with pre-tuned dictionary[C]. Proc. of IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 2015, pp: 2006-2010, Brisbane, Australia.
[C4]Gao Wei, Richard Cédric, Bermudez M. Jose-Carlos and Huang Jianguo. Convex combination of kernel adaptive filters[C]. Proc. of IEEE Int. Conf. Machine Learning for Signal Processing (MLSP), 2014, pp: 1-5, Reims, France.
[C5]Chen Jie, Gao Wei, Richard Cédric and Bermudez M. Jose-Carlos. Convergence analysis of kernel LMS algorithm with pre-tuned dictionary[C]. Proc. of IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 2014, pp: 7243-7247, Florence, Italy.
[C6]Gao Wei, Chen Jie, Richard Cédric and Huang Jianguo, et al. Kernel LMS algorithm with forward-backward splitting for dictionary learning[C]. Proc. of IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 2013, pp: 5735-5739, Vancouver, Canada.
[C7]Huang Jianguo, Gao Wei and Richard Cédric. Multi-channel differencing adaptive noise cancellation based on kernel-based normalized least-mean-square algorithm[C]. Proc. of IEEE OCEANS 2012, pp: 1-5, Yeosu, Korea.
[C8]Gao Wei, Huang Jianguo, Ma Tian and Zhang Qunfei. Sparse sample matrix inversion with diagonal loading for reverberation suppression[C]. Proc. of IEEE Int. Conf. Signal Process. Comm. Computing. (ICSPCC), 2011, pp: 1-4, Xi'an, China.






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