|
||
|
方勇 博士,教授 |
|
办公室 / 实验室: |
上海大学宝山校区东区12号楼529室 / 数字信号处理实验室,东区12号楼B508 |
|
通信地址(邮政编码): |
上海市上大路99号十大网赌博正规信誉网址83信箱(200444) |
|
电话: |
021-66136306 |
|
电子邮件: |
yfang@shu.edu.cn |
|
个人主页: |
||
【职业经历】 十大网赌博正规信誉网址教授,博士生导师(2002-); IEEE高级会员(2003-);
十大网赌博正规信誉网址副院长(2002-2004,
2007-2016); 香港城市大学电子工程系高级访问学者、Research
Fellow(2001-2002); 新加坡南洋理工大学电气与电子工程学院Research
Fellow (1999-2000)。 【教育背景】 香港城市大学博士学位(1999); 南京理工大学硕士学位(1990); 四川师范大学学士学位(1984)。 【学术研究】 研究方向包括通信信号处理、盲信号处理和智能信息系统。主要致力于无线通信信号处理、盲信号处理,
视音频信号处理等方面的基础和应用研究, 在国内外学术刊物会议上发表学术论文300余篇,
授权发明专利30余项。 【荣誉称号】 2002年度上海市曙光学者; 2003年度上海大学十佳杰出青年; 2005年获上海市优秀学科带头人; 2006年获上海大学名师奖; 2007年获宝钢优秀教师奖; 2009年获上海市自然科学三等奖; 2011年获上海市优秀教材二等奖; 2018年获得上海市教学成果一等奖(排名第3); 2020年获得国家一流本科课程; 2021年获上海大学优秀共产党员称号; 2022年上海市教学成果一等奖(排名第4); 【科研项目】 1. 上海市教委项目,“多用户通信信道的盲均衡”, 2001,10-2003,9, 主持; 2. 教育部留学回国人员资助项目,“MIMO无线通信信道的盲均衡”,
2002,1-2003,12, 主持; 3. 上海市科委白玉兰基金项目:“盲信号分离算法”,
2004,1-2004,12, 主持; 4. 上海市教委曙光计划项目,“混合语音盲分离技术及新型移动电话研究”, 2003,1-2005,12, 主持; 5. 上海市科委重点项目,“基于人的视觉特性的小波基的图像压缩及传输研究”,
2002,10-2004,9, 参加; 6. 国家自然科学基金,“基于2-D系统理论的盲反卷积算法初始化方法研究”,2005,1-2007,12,
主持。 7. 上海市科委重点项目,“混合语音信号净化处理系统的研制”,
2005,1-2006,7,负责人。 8. 上海市优秀学科带头人计划项目,“非标准条件下的盲源分离技术研究”,
2005,10-2007,9,主持。 9. 2006年度高等学校博士学科点专项科研基金“非标准条件下的盲信号分离研究”,
2007,1-2009,12,主持。 10. 国家自然科学基金,“置换混叠信号的盲检测和分离的理论与应用”,2009,1-2011,12,
主持。 11. 上海市自然科学基金,“3DTV音频再现理论研究”,2008,10-2010,9,负责。 12. 上海市教委科研创新重点项目,“WiMAX快衰落信道估计方法研究”,2009.01-2010.12,主持。 13. 上海市科委白玉兰基金项目:“置换混叠信号的盲检测和分离的理论在图像篡改检测中的应用”,
2011,6-2012,3, 主持。 14. 企业合作项目,“虚拟三维音频重放技术的研发”,2012,10-2014,2,主持。 15. 国家自然科学基金,“OFDM
系统非平稳相关散射突变信道的表示与估计”,2013,1-2016,12,
主持。 16. 上海市科委国际合作项目,“无线体域网物理层高能效传输技术研究”,2013,7-2015,6,主持。 17. 企业合作项目,“移动互联网音视频质量评估和提升技术的研发”,2014,12-2015.5,主持。 18. 教育部博士点基金,“高铁环境下OFDM系统信道压缩表示的ICI消除”,2014,1,1-2016,12,31,主持。 19. 企业合作项目,“高性能信息处理的汽车移动互联平台的设计与实现”2015,12-2017,11,主持。 20. 国家自然科学基金,“非平稳车车散射时变信道下的迭代学习控制研究”,2017,1-2020,12,
主持。 21. 上海市科委重点支撑项目,“球谐域全景音频关键技术研究”,2016,10-2019,12,主持。 22. 企业合作项目,“面向车辆环境智能无线网络通信研究”2018,10-2021,9,负责。 23. 企业合作项目,“基于云计算的虚拟化管理平台”,2019,12-2021,7,主持。 24. 企业合作项目,“移动端音频播放器多维音质测试和分析”,2019,12-2021,3,主持。 25. 企业合作项目,“基于姿态追踪的VR音频处理系统”,2022,3-2023,12,主持。 【讲授课程】 现代信息数学(博士生课程) 通信与信息技术进展(硕士生课程) 数字信号处理(本科生课程)(国家一流本科课程,上海市精品课程) 改变世界的数字技术(新生研讨课) 数字信号及处理方法探秘(新生研讨课) 【研究生培养】 已毕业博士生:王明祥(上海豪威),朱耀麟(西安工程大学),刘盛鹏(上海消防研究所),王超(工商银行,上海),张烨(南昌大学),汤永清(浙江丽水学院),王伟(南通大学),周小平(上海师范大学),段新涛(河南师范大学),徐彤阳(山西财经大学),陈琳(上海电力学院);黄立勋(郑州轻工业学院),盛志超(悉尼科技大学),陈鑫(西安工程大学),王琛(便利峰,上海),刘华平(网易,杭州),余鸿文(悉尼科技大学,上海大学), 毕业在职博士研究生2名。 已毕业硕士生:范嘉乐(上海贝尔阿尔卡特),梁越(上海无线通信研究中心),唐旭辉(上海华为),张兼(日本早稻田大学博士生),王舒翀(上海大唐电信),曹文佳(上海通用汽车),张瑾(工商银行,上海),刘燕华(上海航天电子);吴美武(谰起科技,上海),张倩(上海大学博士生),徐正(日本NEC),肖光华(上海恒翔通信),侯兆然(中国海洋工程),王睿(上海交大博士生),陈涛(中兴通信,上海),石强(上海鼎桥通信),宋波(河南消防),徐叶雷(温州移动),何超(上海华为),余亮(法国里尔大学博士生),刘庆山(成都华为),王冬靓(上海华为),周光荣(上海强生科技),赵维杰(上海华为),颜华超(上海中兴通讯),许广宏(上海通用),顾卿(上海华为),兰宇飞(上海华为),季帅(日本
Fotex公司),杨盛慎(安徽联通),路振龙(上海华为),姜岚(美国西雅图大学),吴舟(上海展讯),李兆元(农业银行,上海),张斌(唯品会,上海),于宗泽(中国银行,上海),陶红波(上海华为),邹禾灿(58同城,上海),陈建新,卜东曜(挖财网络,杭州),雷娅(招银科技,杭州),夏志立(微软,苏州),张佳露(平安科技,上海),史梦杰(网易,杭州),闰东洋(银联商务,上海),刘昇栋(OPPO 深圳),鲍实(招商银行,上海),刘畅(上海证券交易所),梅苏林(蜜柚科技,上海),古剑峰(上海华为),李辰龙(交通银行,上海),郭登宏(携程,上海),陶浩(招银网络,杭州),李鹏飞(上海阅维科技),徐强荣(浦发银行,上海),朱旭陈(百度,上海),葛宇(淘宝软件,杭州),赵曼琳(B站,上海),肖予乾(OPPO,上海),卫逸鸣(上汽通用),李俊康(携程,上海),黄强(阿里,杭州), 毕业在职工程硕士16名。 在读博士生:朱文博,杨强强 在读硕士生:顾杨,王春阳,陈玉凤,冯兆怡,赵乾熙,涂琦玉,胡浩,吕明晟,张雨楠,贺建宇 【代表性论著】 [1] Zhaoyi Feng, Zhichao Sheng, Ye Shi, Ali A. Nasir, and Yong Fang.
Multi-Agent Deep Reinforcement Learning for Energy-Efficient UAV-Aided Hybrid
NOMA Data Collection. IEEE Communications Letters, 2023, Digital Object
Identifier: 10.1109/LCOMM.2023.3305537 [2] W.
Zhu , H. D. Tuan , Y. Fang , and Lajos Hanzo.
Low-Complexity Pareto-Optimal 3D Beamforming for the Full-Dimensional
Multi-User Massive MIMO Downlink,IEEE
Transactions on Vehicular Technology. 2023, 72(7): 8869-8885. [3] Yuming
Wei, Zhichao Sheng,Yong
Fang. A Multi-resolution Channel Structure Learning Estimation Method of
Geometry-Based Stochastic Model with Multi-Scene, IEEE Transactions on
Vehicular Technology,2023,
72(2): 1414-1428. [4] Yu
Ge, Zhichao Sheng, Yong Fang, and Liming Zhang. An
AFD-Based ILC Dynamics Adaptive Matching Method in Frequency Domain for
Distributed Consensus Control of Unknown Multiagent Systems,IEEE
Transactions on Circuits and Systems I: Regular Papers 2022, SCIPap. 69(8): 3366-3378. [5] H.Yu,
H.D.Tuan, A.A.Nasir, M.Debbah, Y.Fang. New
Generalized Zero Forcing Beamforming for Serving More Users in
Energy-harvesting Enabled Networks, Physical Communication, 2022, 50: 101500-101508. [6] Junkang Li,
Yong Fang, Liming Zhang. A TM-based Adaptive Learning Data-model for
Trajectory Tracking and Real-time Control of a Class of Nonlinear Systems,IEEE
Transactions on Circuits and Systems I: Regular Papers,2022,
69(2): 859 - 871. [7] Xu
Qiangrong, Sheng Zhichao,
Fang Yong and Zhang Liming. Measurement Matrix Optimization for Compressed
Sensing System with Constructed Dictionary via Takenaka–Malmquist Functions,
Sensors, 2021, 21(4): 1229. [8] Li
Chenlong, Fang Yong, Sheng Zhichao.
Average-ILC-Based for Consensus Tracking of Multi-Agent Systems over Wireless
Networks in Presence of Channel Noise and Data Dropout,Mathematical
Problems in Engineering,2021,9606815. [9] W.
Zhu, H. D. Tuan, E. Dutkiewicz, Y. Fang, and L. Hanzo. A New Class of
Structured Beamforming for Content-Centric Fog Radio Access Networks, IEEE
Transactions on Communications,2021,69(11):7269-7282. [10] 方勇,数字信号处理―原理与实践,清华大学出版社,(第三版)2021,8
(ISBN 978-7-302-58243-4);(第二版)2010,8
(ISBN 978-7-302-22886-8);(第一版)
2006,3 (ISBN
7-302-12438-8). [11] 方勇主编,信息科学与技术研究论文写作―案例与方法,上海大学出版社,2021.
11 ( ISBN 978-7-5671-4365-4). [12] H.
Yu, H. D. Tuan, T. Q. Duong, Y. Fang and L. Hanzo. Improper Gaussian
Signaling for Integrated Data and Energy Networking, IEEE Transactions on
Communications, 2020,68(6):
3922-3934. [13] Xuchen Zhu, Zhichao Sheng, Yong Fang and Denghong
Guo. A Deep Learning-Aided Temporal Spectral ChannelNet
for IEEE 802.11p-Based Channel Estimation in Vehicular Communications,
EURASIP Journal on Wireless Communications and Networking, 2020,4 DOI:
10.1186/s13638-020-01714-4 [14] H.
Yu, H. D. Tuan, T. Q. Duong, Y. Fang, and L. Hanzo. Improper Gaussian Signaling
for Integrated Data and Energy Networking,IEEE
Transactions on Communications,2020,68(6):
3922-3934. [15] Jianfeng
Gu,Yong Fang, Zhichao Sheng and Peng Wen, Double Deep Q-Network with a
Dual-Agent for Traffic Signal Control, Applied Sciences, 2020, 10(1622). [16] Huang
Qinghua, Jiajun Feng, Jingbiao Huang, Yong Fang.
Two-stage MUSIC with Reduced Spectrum Search for Spherical Arrays,Digital
Signal Processing,2020,
106(1): 1-12 [17] Huang
Qinghua, Feng Jiajun, Fang Yong. Two-Dimensional
DOA Estimation Using One-Dimensional Search for Spherical Arrays [J]. Chinese Journal of Electronics 电子学报(英文版).
2019, 28(06):177-182. [18] Huaping Liu,
Yong Fang,Qinghua
Huang,Efficient
Representation of Head-related Transfer Functions with Combination of
Spherical Harmonics and Spherical Wavelets,IEEE
ACCESS, 2019,7:78214-78222. [19] Jialu Zhang,
Yong Fang, Chenlong Li, and Wenbo
Zhu. Formation Tracking via Iterative Learning Control for Multiagent Systems
with Diverse Communication Time-Delays, Mathematical Problems in Engineering,
2019, doi.org/10.1155/2019/8164297. [20] Zhichao Sheng,
H. D. Tuan, H. H. Nguyen and Yong Fang.Low-Latency
Multiuser Two-Way Wireless Relaying for Spectral and Energy Efficiencies,IEEE
Transactions on Signal Processing as a Regular Paper, 2018, 66(16):
4362-4376. [21] Xin
Chen, Yong Fang, Yanzan Sun, Yuntian
Pan and Weidong Xiang, Statistical Characterization of Novel 3-D
Cluster-Based MIMO Vehicle-to-Vehicle Models for Urban Street Scattering
Environments, International Journal of Antennas and Propagation,2018,
6742346,11 pages,https://doi.org/10.1155/2018/6742346. [22] 王赛飞,方勇,王军华.
利用自适应傅里叶分解的非平稳无线信道的视频表示,信号处理,2018(06):749-755. [23] Wang
C, Fang Y. Majorization-Minimization-Based Sparse Signal Recovery Method
Using Prior Support and Amplitude Information for the Estimation of Time-varying
Sparse Channels [J]. KSII Transactions on Internet and Information Systems.
2018, 12(10):4835-4855. [24] Lei
Ya, Fang Yong and Zhang Liming. A Weighted K-SVD-Based Double Sparse
Representations Approach for Wireless Channels Using the Modified Takenaka-Malmquist
Basis, IEEE ACCESS, 2018, 6:54331-54342. [25] Huang
Qinghua, Zhang Lili, Fang Yong. Performance
Analysis of Low-complexity MVDR Beamformer in Spherical Harmonics Domain,Signal
Processing,2018,
153: 153-163. [26] Qinghua Huang,
Lin Zhang, Yong Fang. Two-Step Spherical Harmonics ESPRIT-Type Algorithms and
Performance Analysis, IEEE/ACM Transactions on Audio, Speech and Language
Processing, 2018, 26(9): 1684-1697. [27] Huang
Qinghua, Zhang Guangfei,
Fang Yong, DOA Estimation Using Block Variational Sparse Bayesian Learning,
Chinese Journal of Electronics, 2017/072,6
(4): 768-772. [28] Xin
Chen, Yong Fang, Weidong Xiang, and Liang Zhou,Research
on Spatial Channel Model for Vehicle-to-Vehicle Communication Channel in
Roadside Scattering Environment,
International Journal of Antennas and Propagation,2017,
3098198: 1-12. [29] Sulin
Mei, Yong Fang, EM-based Parameter Iterative Approach for Sparse Bayesian
Channel Estimation of Massive MIMO System, EURASIP Journal on Wireless
Communications and Networking, 2017, 185(12): 1-7. [30] Chang
Liu, Yong Fang, Jianzhong Liu, Some New Results About Sufficient Conditions
for Exact Support Recovery of Sparse Signals via Orthogonal Matching Pursuit,
IEEE Transactions on Signal Processing, 2017, 65(17): 4511-4524 [31] Zhichao Sheng,
H. D. Tuan, H. H. Nguyen and Yong Fang,Pilot
Optimization for Estimation of High-Mobility OFDM Channels,IEEE
Transactions on Vehicular Technology,2017,66(10):
8795-8806. [32] Zhichao Sheng,Hoang
Duong Tuan,Ho Huu
Minh Tam,Ha H.
Nguyen,Yong
Fang. Energy-Efficient Precoding in Multicell Networks with Full-Duplex Base
Stations, EURASIP Journal on Wireless Communications and Networking,2017,
48: 1-13. [33] Huang,
Qinghua, Zhang, Guangfei,
Xiang, Longfei, Fang, Yong. Unitary Transformations
for Spherical Harmonics MUSIC, Signal Processing, 2017, 131: 441-446. [34] 张斌,方勇,黄青华,刘华平,基于声源分离的虚拟低音增强,信号处理,2016,32(10):1220-1224. [35] Huang
Qinghua, Hu Rui, Fang Yong. Real-valued MVDR
Beamforming Using Spherical Arrays with Frequency Invariant Characteristic,
Digital Signal Processing, 2016, 48:239-245. [36] Chen
Wang, Yong Fang, and Jin-Yan Li. Estimation of NON-WSSUS Channel for OFDM
System: Exploiting Support Correlations through a Novel Adaptive Weighted
Predict-Re-Estimate L1 Minimization, Journal of Communications, 2016, 11(2):
149-156. [37] 黄立勋,
方勇. 包含数据丢失的迭代学习控制系统收敛性分析[J].
系统工程与电子技术, 2014,36(2):361-367. [38] Lixun Huang,
Yong Fang, Tao Wang. A method to improve convergence performance of ILC
systems over wireless networks in presence of channel noise [J]. IET Control
Theory and Applications, 2014,8(3):175-182. [39] 黄立勋,
方勇. 测控信号随机时延对迭代学习控制系统的影响[J].
应用科学学报, 2014, 32(2): 156-162. [40] Lixun Huang,
Yong Fang. Convergence Analysis of Wireless Remote Iterative Learning Control
Systems with Dropout Compensation, Mathematical Problems in Engineering,
2013, Article ID 609284, 9 pages. [41] 方勇,
赵维杰, 汪敏,
非理想载波同步下的快衰落信道的稀疏与感知, 通信学报,2013,
34(9):10-15. [42] 黄立勋,方勇,信道噪声对无线远程迭代学习控制系统的影响,信号处理,2012,
28(11):1627-1633. [43] 方勇,赵维杰,汪敏.
信道压缩表示的OFDM快衰落信道估计,应用科学学报,2012,30(6):581-587. [44] 段新涛,方勇.
基于稀疏分解的置换混叠图像盲分离,高技术通讯,2012,22(4),368-373. [45] Fang
Yong, Ji Shuai and Wang Min. Geometric Method for Blind Signal Separation of
Multichannel MPSK Signals, Journal of Electronics(China),
2012,29(3/4):
334-338. [46] 王伟,方勇.
单通道散焦模糊置换图像的盲分离,中国图象图形学报,2012,7(3),196-202. [47] 陈琳,方勇.
基于准循环LDPC 码和SLM法降低PAPR的新方法,信号处理,2012,28(9):1341-1345. [48] Chen
Lin, Fang Yong, Wang Min. PAPR Reduction in Optical OFDM Systems Using
Asymmetrically Clipping and Filtering Technique [J]. Journal of Computational
Information Systems, 2012, 8(7): 2733-2740. [49] Y.
Fang, X. P. Zhou and M. Wang. Compressed Sensing based Channel Estimation
Using Group Random Unit Pilot for OFDM Systems in Fast Moving Environment,
High Technology Letters, 2011, 17(2):113-118. [50] Zhou
Xiaoping, Fang Yong and Wang Min. Compressed Sensing based Channel Estimation
for Fast Fading OFDM Systems, Journal of Systems Engineering and Electronics,
2010, 21(4):550-556. [51] 周小平,方勇,汪敏.
MIMO-OFDM 快衰落信道的压缩感知估计方法,电波科学学报,2010,
25(6):1109-1115. [52] 周小平,方勇,汪敏.
MIMO-OFDM 快衰落信道的稀疏自适应感知估计,信号处理,2010,
26(12):1833-1839. [53] 王伟,方勇.
基于有限差分的置换图像盲检测方法,电子学报,2010,
38(10):2268-2272.
[54] 张烨,方勇.
基于平面聚类势函数法的欠定混合信号盲分离,高技术通讯,2010, 20(8):810-815. [55] 汤永清,黄青华,方勇.
基于球傅里叶变换的声源三维空间定位,信号处理,2010,
26(5):654-658. [56] Q.
H. Huang, Y. Fang. Interpolation of Head-related Transfer Functions Using
Spherical Fourier Expansion, Journal of Electronics(China),
2009, 26(4):571-576. [57] 方勇,
王伟, 王睿.
置换混叠信号的盲检测和分离,应用科学学报,2009,27(5):491-497. [58] 张烨,方勇.
基于拉普拉斯势函数的欠定盲分离中源数的估计,信号处理,2009, 25(11):1719-1725. [59] 王军华,
方勇. 基于Curvelet稀疏表示的图像盲分离初始化,应用科学学报,2009, 27(3): 161-166. [60] 徐叶雷,黄青华,方勇.
一种基于偏微分方程的车辆加速度信号自适应降噪方法,传感技术学报,2009,
22(11):1606-1611. [61] 徐叶雷,方勇.
基于MEMS加速度计的车用自动呼救系统,传感技术学报,2009,
22(6):887-892. [62] 刘盛鹏,
方勇. 一种盲源分离初始化方法的研究与仿真,系统仿真学报,2009,21(9):2638-2641. [63] 王睿,
方勇. 一种图像局部模糊检测方法及在被动图像认证中的应用,高技术通讯,2009,19(7):718-723. [64] 王睿,
方勇. 一种基于2D公共因子的精确提取的图像盲复原方法,电子与信息学报,2009, 31(1): 108-111. [65] 王超,方勇.
基于非连续多时刻频谱平滑的卷积混合盲分离频域算法,信号处理,2009, 25(1): 90-93. [66] 王睿,
方勇. 基于不变矩的Copy-Move型篡改图像的盲检测方法,中国图像图形学报,2008,
13(10):227-230. [67] 张倩,方勇.
基于AVS视频流媒体传输系统的设计与实现,计算机工程与设计,2008,
29(8): 2003-2005. [68] 刘盛鹏,方勇.
基于Contourlet变换和Wiener滤波的图像降噪方法,计算机工程,2008,34(5):
210-212. [69] 刘盛鹏,方勇.基于数学形态学的Contourlet变换域的图像降噪方法,光子学报,2008,
37(1): 197-201. [70] 方勇,数字信号处理―原理与实践学习指导,清华大学出版社,2008,1
(ISBN978-7-302-16943-7). [71] H.
B. Chen, J. C. Feng, Y. Fang. Blind Extraction of Chaotic Signals by Using
the Fast Independent Component Analysis Algorithm, Chinese physics letters,
2008, 25(2): 405-408. [72] 朱耀麟,方勇,汪敏.
混合发射天线选择的闭环发射分集系统的优化设计. 电波科学学报,
2007, 22(5): 767-773. [73] Y.
L. Zhu, Y. Fang and M. Wang. Hybrid Transmit Antenna Selection and
Maximal-Ratio Transmission Systems. Journal of Systems Engineering and
Electronics, 2007, 18(2):229-235. [74] 方勇,张瑾.
基于傅立叶变换的运动图像全盲认证方法. 应用科学学报,
2007, 25(3):233-238. [75] 张瑾,方勇.
基于分块Contourlet变换的图像独立分量分析方法.
电子与信息学报,2007, 29(8):1813-1816. [76] 刘盛鹏,
方勇. 基于Contourlet变换和IPCNN的融合方法及其在可见光与红外线图像融合中的应用,
红外与毫米波学报,2007, 26(3): 217-221. [77] 刘盛鹏,方勇.
基于贝叶斯估计的Contourlet域图像降噪方法,计算机工程,2007,33(18):31-33. [78] Y.
L. Zhu and Y. Fang, Wang Min. Hybrid Transmit Antenna Selection and
Maximal-ratio Transmission Systems, Journal of Systems Engineering and
Electronics, 2007, 18(2):229-235. [79] Shengpeng
Liu, Min Wang and Yong Fang. A Contourlet Transform Based Fusion Algorithm
for Nighttime Driving Image, Lecture Notes in Computer Science, 2006, 4223:
491-500. [80] Y.
Fang and T. W. S Chow. Wavelets Based Neural Network for Function
Approximation, Lecture Notes in Computer Science, 2006, 3971: 80-85. [81] Y.
Fang and T. W. S. Chow,Nonlinear
Dynamical Systems Control Using a New RNN Temporal Learning Strategy,IEEE
Trans on Circuits and Systems-II, 2005, 52(11):719-723. [82] 方勇,王明祥,
基于自组织映射的后非线性独立分量分析的初始化方法. 电子学报. 2005, 33(5): 889-892. [83] 王明祥,方勇,
基于二维小波变换的独立分量分析方法及其在图像分离中的应用.
电子与信息学报, 2006, 28(3): 471-475. [84] Y.
Fang, New Neural Network for Multichannel Blind Equalization,APOC2003,
Proceedings of SPIE, 2004, 5284:155-162. [85] Y.
Fang and T.W.S. Chow, 2-D Analysis Iterative Learning Controller for
Discrete-time Systems with Variable Initial Conditions, IEEE Trans on
Circuits and Systems, 2003, 50(5):722-727. [86] Y.
Fang et al. Convergence Analysis of Iterative Learning Control with Uncertain
Initial Condition, The Fourth World Congress Intelligent Control and
Automation, 2002, 2:961-965. [87] T.W.S.
Chow and Y. Fang. Neural Blind Deconvolution of MIMO Noisy Channels, IEEE
Trans. On Circuits and Systems. 2001, 48(1):116-120. [88] T.W.S.
Chow and Y. Fang. Two-dimensional Learning Strategy for Multilayer
Feedforward Neural Network, Neurcomputing. 2000,
34:195-206. [89] Y.
Fang and T.W.S. Chow. Synthesis of the Sliding Mode neural network controller
for unknown nonlinear discrete-time systems, International Journal of Systems
Science, 2000, 31(3):401-408. [90] Y.
Fang and T.W.S. Chow. Orthogonal wavelet neural Networks Applying to
Identification of Wiener Model, IEEE Trans. On Circuits and Systems I, 2000, 47(4):591-593. [91] Y.
Fang and T.W.S. Chow. Blind Equalization of a Noisy Channel by Neural
Network, IEEE Trans. on Neural Networks, 1999, 10(4):918-924. [92] Y.
Fang, T.W.S. Chow and K.T. Ng. Linear Neural Network based Blind
Equalization, Signal Processing, 1999, 76(1):37-42. [93] Y.
Fang, T.W.S. Chow and X.D. Li. Use of Recurrent Neural Network in Discrete
Sliding Mode Control, IEE Proceedings-Control Theory and Application, 1999,
146(1):84-90. [94] T.
Tan, Y. Fang and T.W.S. Chow. Wiener Models Identification based on the
Higher-order Cumulants and Orthogonal Wavelet Neural Networks, International
Journal of Knowledge-based Intelligent Engineering Systems,1999,
3(2):102-107. [95] T.W.S.
Chow and Y. Fang. A Recurrent Neural Network based Real-time Learning Control
Strategy Applying to Nonlinear Systems with Unknown Dynamics, IEEE Trans. on
Industrial Electronics, 1998, 45(1):151-161. [96] Y.
Fang and T.W.S. Chow. Iterative Learning Control of Linear Discrete-time
Multivariable System, Automatica, 1998,
34(11):1458-1462. [97] T.W.S.
Chow and Y. Fang. An Iterative Learning Control Method for Continuous-time
Systems based on 2-D System Theory, IEEE Trans. on Circuits and Systems, Part
I, 1998, 45(6):683-689. [98] 方勇,杨成捂. 一般模型2-D系统干扰解耦观测器设计,自动化学报,1997,
23(3): 277-281. [99] 杨成捂,方勇.
2-D Rosser模型的静态干扰解耦,自动化学报,1994,
20(2): 140-246. [100] 方勇,杨成捂. Criterion for modal controllability
and observability of 2-D systems,
控制理论与应用,1993,
10(5): 596-598. |