職稱：教授，博士生導師

辦公室：江甯無線谷A5-402室

辦公電話：025-84980409

Email：yili_xia@seu.edu.cn

學習經曆：

2002年9月-2006年6月beat365正版唯一學士

2006年9月-2007年8月英國帝國理工學院電氣與電子工程系碩士

2007年9月-2011年6月英國帝國理工學院電氣與電子工程系博士

工作經曆:

2011年9月-2012年12月英國帝國理工學院電氣與電子工程系博士後

2013年1月-2019年4月beat365正版唯一副教授

2019年5月-至今beat365正版唯一教授

教授課程：

盲信号處理導論（研讨）-- 本科三年級

研究方向：

統計信号處理、多維信号處理、自适應信号處理、人工智能、大數據分析、信号處理在無線通信及電力中的應用

獲獎情況：

1、2019年IEEE信号處理年會(ICASSP’19)教育創新獎

2、2018年beat365正版唯一至善青年學者

3、2014年江蘇省雙創人才

4、2010年國際神經網絡研讨會(ISNN’10) 最優論文獎

論文著作：

已發表學術論文80餘篇。擔任國際權威SCI期刊IEEE Transactions on Signal Processing   Associate Editor副編輯。

SCI期刊論文：

[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.

圖書專著：

[1] Adaptive Learning Methods for Nonlinear System   Modelling. Chapter 12-Echo State Networks for Multidimensional Data:   Exploiting Noncircularity and Widely Linear Models, Y. Xia, M. Xiang,   Z. Li, and D. P. Mandic, Elsevier, 2018.

[2] Cooperative and Graph Signal   Processing. Chapter 28-Smart Grids: Diffusion Augmented Extended Kalman   Filtering for Adaptive Frequency Estimation in Distributed Power Systems, Y.   Xia, S. Kanna, and D. P. Mandic, Elsevier, 2018.

科研項目：

項目名稱

項目類别

項目時間

工作類别

項目金額

複數域自适應估計算法的完備性能分析方法及其在寬帶多載波I/Q不平衡補償中的應用

beat365正版唯一優秀教師科學研究資助

2019.01-2021.12

應用研究

20萬

基于非圓複數的自适應濾波算法完備均方性能分析

國家自然科學基金項目

2018.01-2021.12

基礎研究

60萬

基于電壓離散傅立葉聯合功率譜的非平衡電力系統頻率估計技術研究

國家自然科學基金項目

2015.01-2017.12

基礎研究

25萬

基于電壓聯合周期圖最大化的非平衡電力系統頻率估計技術研究

江蘇省自然科學基金項目

2014.07-2017.06

基礎研究

20萬

高精度頻率估計算法研究

教育部基金項目

2015.07-2017.06

基礎研究

3萬

輸變電工程數據管理關鍵技術研究

企事業委托項目

2017.01-2019.12

應用研究

50萬

基于大數據的配電網中短期電壓越限預警及優化治理關鍵技術研究

企事業委托項目

2017.01-2019.12

應用研究

30萬

專利：

專利号

專利名稱

專利類型

ZL201510098640.5

一種發射機中IQ不平衡的補償方法和裝置

發明專利

ZL201610159351.6

基于虛拟儀器的RFID标簽空中接口協議符合性自動化測試方法

發明專利

ZL201610227715.X

基于虛拟儀器的RFID标簽一緻性測試系統

發明專利

ZL201610137200.0

适用于MIMO-OFDM系統的IQ不平衡和信道聯合估計方法

發明專利

ZL201610145766.8

OFDM-WLAN射頻測試系統的IQ不平衡估計與補償方法

發明專利

ZL201610147118.6

一種适用于MIMO-OFDM系統的載波頻偏估計方法

發明專利

ZL201611223964.8

一種非平衡電力系統頻率估計的方法

發明專利

ZL201610225065.5

一種基于802.11ac射頻一緻性測試系統接收機的檢測方法

發明專利

ZL201610150465.4

MIMO-OFDM WLAN系統的同步方法及系統

發明專利

ZL201710279284.6

基于改進的SmartDFT算法的非平衡系統頻率估計算法

發明專利

ZL201711326494.2

一種零中頻全雙工收發機的數字自幹擾消除方法

發明專利

ZL201710126644.9

一種基于外插脈沖響應法實現的快速濾波器組的非均勻數字信道化方法

發明專利

US9995774B2

Frequency estimation

美國發明專利