领域:新一代信息技术产业 学校:东南大学职称:教授
统计信号处理、多维信号处理、自适应信号处理、人工智能、大数据分析、信号处理在无线通信及电力中的应用
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2002年9月-2006年6月东南大学信息科学与工程学院学士
2006年9月-2007年8月英国帝国理工学院电气与电子工程系硕士
2007年9月-2011年6月英国帝国理工学院电气与电子工程系博士
工作经历
2011年9月-2012年12月英国帝国理工学院电气与电子工程系博士后
2013年1月-2019年4月东南大学信息科学与工程学院副教授
2019年5月-至今东南大学信息科学与工程学院教授
项目课题经历
项目名称
项目类别
项目时间
工作类别
项目金额
复数域自适应估计算法的完备性能分析方法及其在宽带多载波I/Q不平衡补偿中的应用
东南大学优秀教师科学研究资助
2019.01-2021.12
应用研究
20万
基于非圆复数的自适应滤波算法完备均方性能分析
国家自然科学基金项目
2018.01-2021.12
基础研究
60万
基于电压离散傅立叶联合功率谱的非平衡电力系统频率估计技术研究
国家自然科学基金项目
2015.01-2017.12
基础研究
25万
基于电压联合周期图最大化的非平衡电力系统频率估计技术研究
江苏省自然科学基金项目
2014.07-2017.06
基础研究
20万
高精度频率估计算法研究
教育部基金项目
2015.07-2017.06
基础研究
3万
输变电工程数据管理关键技术研究
企事业委托项目
2017.01-2019.12
应用研究
50万
基于大数据的配电网中短期电压越限预警及优化治理关键技术研究
企事业委托项目
2017.01-2019.12
论文、成果、著作等
已发表学术论文80余篇。担任国际权威SCI期刊IEEE Transactions on Signal Processing Associate Editor副编辑。
SCI期刊论文
[1] Y. Xia, B. Zhang, W. Pei, and D. P. Mandic, “Bidimensional multivariate empirical mode decomposition with applications in multi-scale image fusion,” IEEE ACCESS, vol.7, pp. 114261-114270, 2019.
[2] M. Xiang, Y. Xia, and D. P. Mandic, “ Complementary cost functions for complex and quaternion widely linear estimation,” IEEE Signal Processing Letters, vol. 26, no. 11, 2019.
[3] Y. Xia, S. Tao, Z. Li, M. Xiang, W. Pei, and D. P. Mandic, “Full mean square performance bounds on quaternion estimators for improper data,” IEEE Transactions on Signal Processing, vol. 67, no. 15, pp. 4093-4106, 2019.
[4] X. Zhang, Y. Xia, C. Li, L. Yang, and D. P. Mandic, “Analysis of the unconstrained frequency-domain block LMS for second-order noncircular inputs” IEEE Transactions on Signal Processing, vol. 67, no. 15, pp. 3970-3984, 2019.
[5] S. Kanna, A. Moniri, Y. Xia, A. G. Constantinides, and D. P. Mandic, “A data analytics perspective of power grid analysis-Part 2: Teaching old power systems new tricks,” IEEE Signal Processing Magazine, vol. 36, no. 3, pp. 110-117, 2019.
[6] D. P. Mandic, S. Kanna, Y. Xia, A. Moniri, A. Junyent-Ferre, and A. G. Constantinides, “A data analytics perspective of power grid analysis-Part 1: The Clarke and related transforms,” IEEE Signal Processing Magazine, vol. 36, no. 2, pp. 110-116, 2019.
[7] H. Cheng, Y. Xia, Y. Huang, L. Yang, and D. P. Mandic, “Joint channel estimation and Tx/Rx I/Q imbalance compensation for GFDM systems,” IEEE Transactions on Wireless Communications, vol. 18, no. 2, pp. 1304-1317, 2019.
[8] W. Deng, Z. Li, Y. Xia, K. Wang, and W. Pei, “A widely linear MMSE anti-collision method for multi-antenna RFID readers,” IEEE Communications Letters, vol. 23, no. 4, pp. 644-647, 2019.
[9] D. Pei and Y. Xia, “Robust power system frequency estimation based on a sliding window approach,” Mathematical Problems in Engineering, vol. 2019, pp. 1-10, 2019.
[10] Z. Li, Y. Xia, W. Pei, and D. P. Mandic, “A cost-effective nonlinear self-interference canceller in full-duplex direct-conversion transceivers,” Signal Processing, vol. 158, pp. 4-14, 2019.
[11] Z. Li, Y. Xia, Q. Wang, W. Pei and J. Hao, “A novel four-point model based unit-norm constrained least squares methods for single-tone frequency estimation,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E102-A, no. 2, pp. 404-414, 2019.
[12] G. L. Nefabas, H. Zhao, and Y. Xia, “ Robust frequency estimation of unbalanced power system using a phase angle error based least mean kurtosis algorithm,” International Journal of Electrical Power and Energy Systems, vol. 110, pp. 795-808, 2019.
[13] Y. Xia and D. P. Mandic, “ Augmented performance bounds on strictly linear and widely linear estimators with complex data,” IEEE Transactions on Signal Processing, vol. 66, no. 2, 2018.
[14] Z. Li, Y. Xia, W. Pei, K. Wang, and D. P. Mandic, “An augmented nonlinear LMS for digital self-interference cancellation in full-duplex direct conversion transceivers,” IEEE Transactions on Signal Processing, vol. 66, no. 15, pp. 4065-4078, 2018.
[15] H. Cheng, Y. Xia, Y. Huang, L. Yang, and D. P. Mandic, “A normalized complex LMS based blind I/Q imbalance compensator for GFDM receivers and its full second-order performance analysis,” IEEE Transactions on Signal Processing, vol. 66, no. 17, pp. 4701-4712, 2018.
[16] Y. Xia, S. Kanna, and D. P. Mandic, “Maximum likelihood parameter estimation of unbalanced three-phase power signals,” IEEE Transactions on Instrumentation and Measurement, vol. 67, no. 3, pp. 569-581, 2018.
[17] Y. Xia, S. C. Douglas, and D. P. Mandic, “ Performance analysis of the deficient length augmented CLMS algorithm for second order noncircular complex signals,” Signal Processing, vol. 144, pp. 214-225, 2018.
[18] Y. Xia, S. C. Douglas, and D. P. Mandic, “A perspective on CLMS as a deficient length augmented CLMS: Dealing with second-order noncircularity,” Signal Processing, vol. 149, pp. 236-245, 2018.
[19] M. Xiang, S. Enshaeifar, A. E. Stott, C. Cheong-Took, Y. Xia, S. Kanna, and D. P. Mandic, “Simultaneous diagonalization of the covariance and complementary covariance matrices in quaternion widely linear signal processing,” Signal Processing, vol. 148, pp. 193-204, 2018.
[20] K. Wang, J. Ding, Y. Xia, X. Liu, J. Hao and W. Pei, “Two high accuracy frequency estimation algorithms based on new autocorrelation-like function for noncircular/sinusoid signal,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E101-A, no. 7, pp. 1065-1073, 2018.
[21] Y. Xia and D. P. Mandic, “A full mean square analysis of CLMS for second order noncircular inputs,” IEEE Transactions on Signal Processing, vol. 65, no. 21, pp. 5578-5590, 2017.
[22] Y. Xia and D. P. Mandic, “Complementary mean square analysis of augmented CLMS for second-order noncircular Gaussian signals,” IEEE Signal Processing Letters, vol. 24, no. 9, pp. 1413-1417, 2017.
[23] Y. Xia, Y. He, K. Wang, W. Pei, Z. Blazic, and D. P. Mandic, “A complex least squares enhanced smart DFT technique for power system frequency estimation,” IEEE Transactions on Power Delivery, vol. 32, no. 3, pp. 1270-1278, 2017.
[24] Z. Li, Y. Xia, W. Pei, Y. Huang, and D. P. Mandic, “Noncircular measurement and mitigation of I/Q imbalance for OFDM-based WLAN transmitters,” IEEE Transactions on Instrumentation and Measurement, vol. 66, no. 3, pp. 383-393, 2017.
[25] D. Xu, Y. Xia, and D. P. Mandic, “Optimization in quaternion dynamic systems: Gradient, Hessian, and learning algorithms,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 2, pp. 249-261, 2016.
[26] J. Hao, W. Pei, K. Wang, Y. Xia, and C. Pu, “Iterative optimal design for fast filter bank with low complexity,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E99-A, no. 2, pp. 638-642, 2016.
[27] J. Hao, K. Wang, W. Pei, and Y. Xia, “Baseband signal processing of digital phosphor technology with high accuracy,” IEICE Electronics Express, vol. 13, no. 2, pp. 1-7, 2016.
[28] J. Hao, W. Pei, K. Wang, and Y. Xia, “ Two-stage iterative design for fast filter bank with low complexity,” Electronics Letters, vol. 52, no. 4, pp. 287-289, 2016.
[29] Y. Xia, C. Jahanchahi, and D. P. Mandic, “Quaternion-valued echo state networks,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 4, pp. 663-673, 2015.
[30] S. Kanna, D. H. Dini, Y. Xia, S. Y. Hui, and D. P. Mandic, “Distributed widely linear Kalman filtering for frequency estimation in power networks,” IEEE Transactions on Signal and Information Processing over Networks, vol. 1, no. 1, pp. 45-57, 2015.
[31] Y. Xia, Z. Blazic, and D. P. Mandic, “Complex-valued least squares frequency estimation for unbalanced power systems,” IEEE Transactions on Instrumentation and Measurement, vol. 64, no. 3, pp. 638-648, 2015.
[32] Y. Xia, C. Jahanchahi, T. Nitta, and D. P. Mandic, “Performance bounds of quaternion estimators,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 12, pp. 3287-3292, 2015.
[33] J. Hao, W. Pei, Y. Xia, and K. Wang, “Adaptive pulse signal shaping of tag response signal for RFID tag test system,” Electronics Letters, vol. 50, no. 17, pp. 1182-1184, 2014.
[34] Y. Xia and D. P. Mandic, “A widely linear least mean phase algorithm for adaptive frequency estimation of unbalanced power systems,” International Journal of Electrical Power and Energy Systems, vol. 54, pp. 367-375, 2014.
[35] Y. Xia and D. P. Mandic, “Augmented MVDR spectrum-based frequency estimation for unbalanced power systems,” IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 7, pp. 1917-1926, 2013.
[36] Y. Xia, S. C. Douglas, and D. P. Mandic, “Adaptive frequency estimation in smart grid applications: Exploiting noncircularity and widely linear adaptive estimators,” IEEE Signal Processing Magazine, vol. 29, no. 5, pp. 44-54, 2012.
[37] L. Li, Y. Xia, B. Jelfs, J. Cao, and D. P. Mandic, “Modelling of brain consciousness based on collaborative adaptive filters,” Neurocomputing, vol. 76, no. 1, pp. 36-43, 2012.
[38] Y. Xia and D. P. Mandic, “Widely linear frequency estimation of unbalanced three-phase power systems,” IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 1, pp. 74-83, 2012.
[39] Y. Xia, D. P. Mandic, and A. H. Sayed, “An adaptive diffusion augmented CLMS algorithm for distributed filtering of noncircular complex signals,” IEEE Signal Processing Letters, vol. 18, no. 11, pp. 659-662, 2011.
[40] Y. Xia, B. Jelfs, M. M. Van Hull, J. C. Principe, and D. P. Mandic, “An augmented echo state network
for nonlinear adaptive filtering of complex noncircular signals,” IEEE Transactions on Neural Networks, vol. 22, no. 1, pp. 74-83, 2011.
[41] Y. Xia, C. Cheong-Took, and D. P. Mandic, “An augmented affine projection algorithm for the filtering of complex noncircular signals,” Signal Processing, vol. 90, no. 6, pp. 1788-1799, 2010.
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