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方勇 教授 |
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办公室： |
延长校区行健楼422，426 |
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通信地址： |
上海市延长路149号160信箱 |
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邮政编码： |
200072 |
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电话： |
021-56331185，56332291 |
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【学术经历】 现为上海大学通信与信息工程学院教授，博士生导师； 曾任新加坡南洋理工大学电气与电子工程学院研究员； 曾任香港城市大学电子工程系高级访问学者； 任上海大学通信与信息工程学院副院长； 1999年获香港城市大学电子工程博士学位。 【研究领域】 通信信号处理、盲信号处理和智能信息系统 【学术成就】 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、体域网与体感网等方面的基础和应用研究, 积累了一批通信信息处理新技术研究成果。在国内外重要学术刊物上发表学术论文150余篇，其中半数以上被三大索引收录, 授权发明专利十三项。 【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计划资助； 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。 【学术兼职】 IEEE高级会员; 上海市电子学会信号处理专业委员副主任; 清华大学出版社国内教材编审委员会委员； 上海大学学报自然科学版编审委员； International Journal of Tomography & Statistics (IJTS)编委 【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.
2006年度高等学校博士学科点专项科研基金和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.
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。 10.
上海市自然科学基金，“3DTV音频再现理论研究“，2008,10-2010,9，负责。 11.
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”，09ZZ89，2009.01-2010.12，主持。 12.
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。 【讲授课程】 现代信息数学（博士生课程） 随机信号分析（硕士生课程） 电子科学与技术（硕士生课程） 数字信号处理（本科生课程） 信号与系统（本科生课程） 改变世界的数字技术（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）； 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 在读博士生：邢绩耀，黄立勋，洪鸥，王琛，盛志超，刘华平; 在读硕士生：顾卿，兰宇飞，季帅（日本早稻田大学联合培养），路振龙，程聪，杨盛慎，吴舟，姜岚，陈鑫。 【代表性论著】 [1]
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 [2]
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 [3]
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. [4]
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. [5]
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. [6]
Q. H. Huang, Y. Fang, “Interpolation of head-related transfer functions using spherical fourier expansion”, Journal of Electronics( [7]
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 [8]
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. [9]
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. [10]
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. [11]
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. [12]
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. [13]
Y. Fang and T. W. S Chow, “Wavelets
Based Neural Network for Function Approximation”, Lecture Notes in Computer Science, Volume 3971 / 2006, 80 – 85. [14]
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. [15]
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. [16]
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. [17]
Y. Fang, “New Neural Network for
Multichannel Blind Equalization”，APOC2003, Proceedings of SPIE, 2004, 5284:155-162. [18]
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. [19]
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. [20]
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. [21]
T.W.S. Chow and Y. Fang,
“Two-dimensional learning strategy for multilayer feedforward
neural network,” Neurcomputing, 2000, 34:195-206. [22]
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, 20000, 31(3):401-408. [23]
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. [24]
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. [25]
Y. Fang, T.W.S. Chow and K.T. Ng, “Linear neural network based blind
equalization,” Signal Processing, 1999, 76(1):37-42. [26]
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. [27]
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. [28]
Y. Fang and
T.W.S. Chow, “Iterative learning control of linear discrete-time
multivariable system,” Automatica,
1998, 34(11):1458-1462 [29]
Y. Fang and
T.W.S. Chow, “Chattering free sliding mode control based on recurrent neural
network,” Proceedings of 1998 IEEE
International Conference on Systems, Man, and Cybernetics,1998, 2:1726-1731. [30]
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. [31]
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. [32]
方勇，数字信号处理―原理与实践（第二版），清华大学出版社，2010，8 （ISBN 978-7-302-22886-8） 【技术开发】 （1）
自动车辆识别管理系统： （2）
语音跟踪系统： （3）
视频监控系统： （4）
强噪声下的语音提取（侦听）技术： （5）
图像语音的原始性认定： （6）
同频无线电监听技术： （7）
基于ARM、DSP、FPGA、单片机等硬件平台的嵌入式系统研究与设计 （8）
基于ucOS II、ucLinux、ArmLinux、WindowsCE、VxWorks等嵌入式操作系统的BSP及驱动设计、操作系统移植、应用软件设计等 【可转让专利】 1.
“一种联合正交导频设计的MIMO-OFDM信道估计方法”，发明专利，授权号，ZL200610026950.7授权日期 2.
“一种OFDM时变信道测计方法”，发明专利，授权号，ZL200810036411.0授权日期 3.
“基于神经网络的双基站精确定位方法”，发明专利，授权号，ZL200910044822.9授权日期 4.
“基于曲波表示的图像欠定盲分离方法”，发明专利，授权号，ZL200910052034.4授权日期 5.
“一种全盲的数字语音认证方法’，发明专利，授权号，ZL200910052050.3授权日期 6.
“利用导频格式设计的WiMAX信道估计方法”，发明专利，授权号，ZL200910196579.2授权日期 7.
“智能宽带无线SIMO环境检测和控制系统”，发明专利，授权号，ZL201010152380.2授权日期2012年6月13日 |
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Professor Fang Yong |
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Office： |
422，426,
Xingjian Bud., Yanchang Campus |
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Mail Address： |
160 Box, 149 Yanchang Rd,
Shanghai 200072, People’s Republic of China |
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Zip Code： |
200072 |
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Phone： |
86-21-56331185， 56332291 |
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Email： |
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URL： |
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【Academic And
Professional Qualification and Awards】 2002-present, Professor, School of
Communication and Information Engineering, Vice-Dean，School of Communication and Information
Engineering，Shanghai
University； 2001, Senior
Research Assistant, Dept
of Electronic Engineering, City University of Hong Kong； 1999-2000, Research Fellow, School of
Electrical and Electronic and Engineering, Nanyang
Technological 1999, Ph.D., Electronic Engineering, City 【Research Interest】 Communication
Signal Processing, Blind Signal Processing, Adaptive Information System 【Research
Activities】 Over
150 technical research papers have been published in journals on theory and
technology communication and information, involving blind signal processing
and its application in wireless communication, speech and image processing,
and adaptive learning control, neural networks and its application. 8 papers
of them were published in IEEE Transactions Journals. Over ten invention
patents have been applied. 【Academe Sideline】 IEEE
Senior Member; Vice-Director
of Signal Processing Branch of Member
of Editor and Review Committee of Tsinghua
University Publishing Company; Editors
of both Chinese Version of Journal of 【Research Projects】 1.
Key project of Shanghai Science and Technology Committee, “Researches
on image compression and transfers based on wavelet basis of human visual
sensation”, 2002,10-2004,9, Participant; 2.
Shuguang Project of Shanghai Education Committee,
“Blind division technology for blind speech and researches on updated mobile
phone”, 2003,1-2005,12, Leader; 3.
Bai-yu-lan Funding project of Shanghai
Science and Technology Committee, “Blind Separation algorithm”, 2004,1-2004,12, Leader. 4.
Funding project for the Sustentation Fund from Ministry of Education
of 5.
Project of 6.
National Natural Science Foundation of 7.
Key Funding project of Shanghai Science and Technology Committee, “Speech
enhancement system from mixed speech signals”，2005,1-2006,8 8.
Funding project of Shanghai Science and Technology Committee，“Blind
Separation with Ill Conditions”，2005,10-2007,12 9.
National Natural Science Foundation of China, “Blind separation of
permuted mixture signal and Its Applications”, 2008,1-2011,12, Leader 10.
National Natural Science Foundation of 【Teaching Courses】 Advanced
Mathematics in Information Science (for Ph.D
students) Updated
Technology for Electronics Science (for Master students) Digital
Signal Processing (for Bachelor students) Signal
and System (for Bachelor students) 【Selected Publications】 [1]
Zhu Yaolin and
Fang Yong, Wang Min. Hybrid Transmit Antenna Selection and Maximal-Ratio
Transmission Systems. Journal of
Systems Engineering and Electronics, Vol. 18, no. 2, pp. 229-235, 2007. [2]
Shengpeng
Liu, Min Wang and Yong Fang, “A Contourlet Transform Based Fusion Algorithm for Nighttime
Driving Image”, Lecture Notes in Computer Science, Volume
4223 / 2006, pp. 491 – 500. [3]
Y Fang and TWS Chow, “Wavelets Based
Neural Network for Function Approximation”, Lecture Notes in Computer Science, Volume 3971 / 2006, pp. 80 – 85.
[4]
Yong Fang and Tommy W. S. Chow，“Nonlinear Dynamical Systems Control
Using a New RNN Temporal Learning Strategy”，IEEE Trans on Circuits
and Systems-II, Vol. 52, No. 11, Nov. 2005, 719-723. [5]
Y. Fang and J. Fan, “Improved Linear
Multiuser Detector for Synchronous Code-Division Multiple-Access
Communication Systems”, IEEECAS2004,
vol.2, pp.787-790. [6]
Y. Fang, “Iterative learning control of continuous
-time systems: 2-D dynamic analysis for variable initial conditions”, Proceedings of the 5th World Congress
Intelligent Control and Automation (in Chinese), vol. 2, pp. 1250-1254,
2004. [7]
Y. Wang and Y. Fang, “Iterative learning
control design for irregular linear system with an arbitrary initial state”, System Engineering and Electronic Technology (in Chinese),
vol. 26, no. 3, 2004, 364-367. [8]
Yong Fang, “New Neural Network for
Multichannel Blind Equalization”，APOC2003, Proceedings of SPIE, vol. 5284, 2004,
pp. 155-162. [9]
J. Fan and Y. Fang, “
Blind multiuser detection for DS-CDMA communication systems based on [10]
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, Vol. 50, no.5,
722-727, 2003. [11]
Y. Fang et al “Convergence analysis of
iterative learning control with uncertain initial condition,” The Fourth
World Congress Intelligent Control and Automation, vol. 2, pp. 961-965,
2002. [12]
T.W.S. Chow and Y. Fang, “Neural Blind Deconvolution of MIMO Noisy Channels,” IEEE Trans. On
Circuits and Systems. Vol. 48, no.1, pp. 116-120, 2001. [13]
T.W.S. Chow and Y. Fang,
“Two-dimensional learning strategy for multilayer feedforward
neural network,” Neurcomputing, vol. 34, pp. 195-206, Sep.
2000. [14]
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,
vol. 31, no. 3, pp. 401-408, 2000. [15]
Y. Fang
and T.W.S. Chow, “Orthogonal wavelet neural networks applying to
identification of Wiener model,” IEEE Trans. On Circuits and Systems I,
vol. 47, no. 4, pp. 591-593, 2000. [16]
Y. Fang
and T.W.S. Chow, “Blind equalization of a noisy channel by neural network,” IEEE
Trans. on Neural Networks, vol. 10, no. 4, pp. 918-924, 1999. [17]
Y. Fang,
T.W.S. Chow and K.T. Ng, “Linear neural network based blind equalization,” Signal
Processing, vol. 76, no. 1, pp. 37-42, 1999. [18]
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, vol. 146,
no. 1, 84-90, 1999. [19]
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, vol. 45, no. 1, pp. 151-161,
1998. [20]
Y. Fang and
T.W.S. Chow, “Iterative learning control of linear discrete-time
multivariable system,” Automatica,
vol. 34, no. 11, pp. 1458-1462, 1998 [21]
Y. Fang and
T.W.S. Chow, “Chattering free sliding mode control based on recurrent neural
network,” Proceedings of 1998 IEEE International
Conference on Systems, Man, and Cybernetics, vol. 2, pp. 1726-1731, 1998. [22]
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, vol. 3, no. 2, pp. 102-107, April, 1999. [23]
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, vol. 45, no. 6, pp. 683-689, 1998. |
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