部门： 信息与通信工程系
姓名： 张海剑
邮箱： haijian.zhang@whu.edu.cn
性别： 男
职称： 副教授
学历学位： 博士
导师类型： 硕导
办公电话：
通信地址： 武汉大学电子信息学院信号处理实验室
邮政编码： 430072
主要经历：
学习经历： 2002.09 - 2006.06 武汉大学电子信息学院，获工学学士;
2006.09 - 2011.06 武汉大学, 获博士学位；
2007.09 - 2010.12 法国国立工艺大学，获博士学位；

任职经历： 2011.08 - 2014.09 新加坡南洋理工大学 博士后研究员
2019.09 - 2020.09 新加坡南洋理工大学 访问****
2014.12 - 至今 武汉大学电子信息学院 副教授

主讲课程：
本科生课程： 数字信号处理
Matlab基础与应用

研究生课程： 专业英语
现代数字信号处理
现代机器学习（第三学期暑假国际课程）

科学研究：
主要研究方向： “语音和图像的紧密结合将会成为人工智能听觉和视觉领域新的发展趋势，存在诸多的技术瓶颈等我们去突破。在人工智能的风口浪尖，谁能将语音信号处理（增强、理解、远场语音识别），阵列信号处理（定位、分离、分类），图像信号处理，身份识别（人脸识别、虹膜识别、声纹识别、指纹识别）等众多技术巧妙并有机的联合，实现将技术的本质和与人为本的宗旨完美的结合，让我们拭目以待。”
1. 信号处理算法在不同领域（语音、图像、通信、雷达、声纳）的应用
(机器学习方法；信号时频分析； 信号稀疏表达； 信号参数估计； 信号处理)
2.?深度神经网络语音信号处理：基于单通道的语音增强、声源定位、语音分离
3. 智能语音信号处理与取证：基于多通道的语音去噪、定位、分离、识别、取证
4. 图像视觉信息处理（图文识别OCR，人脸识别，疲劳驾驶，视频图像异常检测等）
5. 通信认知无线电系统及其在未来5G/6G网络中的应用研究

主要科研课题及项目： 2020 - 2021 企业横向课题，“智能语音信号处理与取证”
2019 - 2020 湖北省自然科学基金项目，“基于时频稀疏表示的欠定盲源分离”
2018 - 2019 企业横向课题，“视频图像智能分析系统”
2018 - 2019 企业横向课题，“毫米波车载雷达和视觉特征信息融合”
2016 - 2018 国家自然科学基金项目， “基于滤波器组多载波调制技术的动态频谱共享研究”
2017 - 2018 企业横向课题，“物联网设备智能连接”
2016 - 2017 企业横向课题，“扫描文件识别”
2015 - 2016 湖北省自然科学基金项目， “基于时频分析的多调制信号自动分离与分类技术研究”
2015 - 2016 高校科研专项资金项目，“基于时频分析技术的多信号自动分离与分类方法研究”
2013 - 2014 新加坡淡马锡实验室项目，“盲源分离技术在半双工通信系统中的应用”
2011 - 2012 新加坡淡马锡实验室项目，“通信系统中调制信号分类的研究”
2008 - 2011 欧洲联盟委员会第七框架计划项目，“动态谱接入技术在认知无线电物理层的研究”

主要论文及著作： 期刊论文[2021]H. Zhang*,“Robust ENF estimation based on harmonic enhancement and maximum weight clique,”IEEE Transactions on Information Forensics and Security, to appear, 2021.
[2021] H. Zhang, "Enhanced Time-Frequency Representation and Mode Decomposition", IEEE Transactions on Signal Processing,doi: 10.1109/TSP.2021.**, 2021.
[2021] H. Zhang*, "Towards End-to-End Synthetic Speech Detection"，IEEE SIGNAL PROCESSING LETTERS, vol. 28, pp. 1265-1269, 2021.
[2021] H. Zhang*, "Learning Center Probability Map for Detecting Objects in Aerial Images,"IEEE Transactions on Geoscience and Remote Sensing,vol. 59, no. 5, pp. 4307-4323, 2021.
[2021] H. Zhang*, Blind separation of coherent multipath signals with impulsive interference and Gaussian noise in time-frequency domain, Signal Processing, Vol. 178, 2021.
[2021] H. Zhang*, "Detection of Electric Network Frequency in AudioRecordings–From Theory to Practical Detectors,"IEEE Transactions on Information Forensics and Security, vol. 16, pp. 236-248, 2021.
[2020] H. Zhang*, "ENF Signal Enhancement in Audio Recordings," IEEE Transactions on Information Forensics and Security,vol. 15, pp. 1868-1878, 2020.
[2020] H. Zhang, "Distributed Compressive Sensing via LSTM-Aided Sparse Bayesian Learning," Signal Processing, vol. 176, 2020.
[2020] H. Zhang*, "An Overview of FIR Filter Design in Future Multicarrier Communication Systems", Electronics, 2020, 9(4), 599.
[2019] H. Zhang*, “Energy-efficient multi-cell resource allocation in cognitive radio-enabled 5G systems”, EURASIP Journal on Advances in Signal Processing, 2019:4, Dec. 2019.
[2019] H. Zhang*, "Random Matching Pursuit for Image Watermarking," IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 3, pp. 625-639, March 2019.
[2019] H. Zhang*, Detecting Power Lines in UAV Images with Convolutional Features and Structured Constraints.Remote Sens.2019,11, 1342.
[2018] H. Zhang*, "Improved bare PCB defect detection approach based on deep feature learning," The Journal of Engineering, vol. 2018, no. 16, pp. 1415-1420, Nov. 2018.
[2018] H. Zhang*, "Fingerprint-Based Device-Free Localization in Changing Environments Using Enhanced Channel Selection and Logistic Regression," IEEE Access, vol. 6, pp. 2569-2577, 2018.
[2018] H. Zhang*, Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network. Remote Sens. 2018, 10, 131.
[2018] H. Zhang*, “Line Spectral Estimation Based on Compressed Sensing with Deterministic Sub-Nyquist Sampling,” Circuits, Systems, and Signal Processing,vol. 37, no. 4,pp. 1777–1788, Apr. 2018.
[2017] H. Zhang*, “Frequency estimation of multiple sinusoids with three sub-Nyquist channels,” Signal Processing, vol. 139, pp. 96-101, 2017.
[2017] H. Zhang*, “Frequency estimation with atomic norms using coprime sampling,”ICIC Express Letters, vol. 11. no. 2, pp. 483-489, Feb. 2017.
[2017] H. Zhang, “Underdetermined Blind Separation of Overlapped Speech Mixtures in Time-Frequency Domain with Estimated Number of Sources,”SpeechCommunication,vol. 89, pp. 1-16, 2017.
[2017] H. Zhang*, “Dynamic recovery for block sparse signals,” Signal Processing, vol. 130, pp. 197-203, Jan. 2017.
[2016] H. Zhang,“Spectral Efficiency Analysis of Filter Bank Multi-Carrier (FBMC)-Based 5G Networks with Estimated Channel State Information (CSI),” in the book of Towards 5G Wireless Networks - A Physical Layer Perspective, Publisher: InTech, DOI: 10.5772/66057
[2016] H. Zhang*, “Power Transmission Tower Series Extraction in PolSAR Image Based on Time-Frequency Analysis and A-Contrario Theory,” Sensors, 2016, 16(11), 1862; doi: 10.3390/s**
[2016] H. Zhang*, “A New Elliptical Model for Device-Free Localization,” Sensors, 16(4), 577, 2016. doi:10.3390/s**
[2016] H. Zhang, “Iterative Time-Frequency Filtering of Sinusoidal Signals With Updated Frequency Estimation,” IEEE Signal Processing Letters, vol. 23, no. 1, pp. 139-143, Jan. 2016.
[2016] H. Zhang, "DOA Estimation of Closely-Spaced and Spectrally-overlapped Sources Using A STFT-Based MUSIC Algorithm," Digital Signal Processing, vol. 52, pp 25-34, May 2016.
[2016] H. Zhang, “Polyphase filter bank based multi-band spectrum sensing in cognitive radio systems,” International Journal of Communication Systems, vol. 29, no. 12, Aug. 2016, pp.1844-1862.
[2016] H. Zhang*, "Structured Sparsity-Driven Autofocus Algorithm for High-Resolution Radar Imagery," Signal Processing, vol. 125, pp. 376-388, Aug. 2016.
[2016] H. Zhang*, "A Class of Deterministic Sensing Matrices and Their Application in Harmonic Detection," Circuits Systems and Signal Processing, pp 1-12, Feb. 2016.
[2016] H. Zhang*, "Novel Wideband DOA Estimation Based on Sparse Bayesian Learning With Dirichlet Process Priors," IEEE Transactions on Signal Processing, vol. 64, no. 2, pp. 275-289, Jan. 2016.
[2016] H. Zhang*, "An Improved Adaptive Constrained Constant Modulus Reduced-Rank Algorithm with Sparse Updates for Beamforming," Multidimensional Systems and Signal Processing, vol. 27, issue 2, pp. 321-340, Apr. 2016.
[2015] H. Zhang*, "Automatic Ship Detection in SAR Images Using Multi-Scale Heterogeneities and an A Contrario Decision," Remote Sensing, pp. 7695-7711, 7, 2015.
[2015] H. Zhang*, "Robust Frequency-Hopping Spread Spectrum Estimation based on Sparse Bayesian Method," IEEE Transactions on Wireless Communications, vol. 14, no. 2, pp. 781-793, Feb. 2015.
[2015] H. Zhang, "IF Estimation of FM Signals based on Time-Frequency Image," IEEE Transactions on Aerospace and Electronic Systems, vol. 51, no. 1, Jan. 2015.
[2015] H. Zhang, "Robust Time-Varying Filtering and Separation of Some Nonstationary Signals in Low SNR Environments," Signal Processing, vol. 106, pp. 141-158, Jan. 2015.
[2014] H. Zhang*, "Speech Signal Recovery Based on Source Separation and Noise Suppression," Journal of Computer and Communications, vol. 2, pp. 112-120, 2014.
[2013] H. Zhang*, "An Improved Auto-Calibration Algorithm Based on Sparse Bayesian Learning Framework," IEEE Signal Processing Letters, vol. 20, no. 9, pp. 889-892, Sep. 2013.
[2012] H. Zhang, "Noncooperative Multicell Resource Allocation of FBMC-Based Cognitive Radio Systems," IEEE Transactions on Vehicular Technology, vol. 61, no. 2, pp. 799-811, Feb. 2012.
[2010] H. Zhang, "Spectral Efficiency Comparison of OFDM / FBMC for Uplink Cognitive Radio Networks," EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 621808, 14 pages, 2010.
[2010] H. Zhang, "Spectral Correlation of Multicarrier Modulated Signals and Its Application for Signal Detection," EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 794246, 14 pages, 2010.
[2009] H. Zhang, "Spectral Efficiency Comparison between OFDM / OQAM and OFDM based CR Networks," Wireless Communications and Mobile Computing, Wiley, vol. 9, pp. 1487-1501, Nov. 2009.
[2009] H. Zhang, "Classi cation of Polarimetric SAR Image Based on Four-component Scattering Model," Geomatics and Information Science of Wuhan University, vol. 34, no. 1, pp. 122-125, 2009. (in Chinese)
[2007] H. Zhang*, "Study on Extracting Information from Spaceborne Polarimetric Synthetic Aperture Radar Data," SPACE ELECTRONIC TECHNOLOGY, vol. 4, no. 2, pp. 1-6, 2007. (in Chinese)
部分学术会议
[2020] H. Zhang*, EFFICIENT ESTIMATION OF MIXING MATRIX USING A TWO-SENSOR ARRAY, in Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020.
[2020] H. Zhang*, FACIAL FEATURE EMBEDDED CYCLEGAN FOR VIS-NIR TRANSLATION, in Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020.
[2016] H. Zhang*, “DOA Estimation of Closely-Spaced and Spectrally-Overlapped Sources Based on Time-Frequency Sparse Representation,” in Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, 20-25 March 2016.
[2016] H. Zhang*, "A sparsity-driven auto-focus technique for radar imaging,"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), Hefei, China, 2016, pp. 2381-2385. doi: 10.1109/ICIEA.2016.**
[2016] H. Zhang*,“Resource Allocation in FBMC-based Two-Cell Cognitive Radio Systems with Estimated CSI”, The 13th IEEE International Conference on Signal Processing, Chengdu, China, 4-9 November, 2016.
[2016] H. Zhang,“Logistic Regression-Based Device-Free Localization in Changeable Environments”, The 13th IEEE International Conference on Signal Processing, Chengdu, China, 4-9 November, 2016.
[2016] H. Zhang*,“Automatic Modulation Classification using Stacked Sparse Auto-Encoders”, The 13th IEEE International Conference on Signal Processing, Chengdu, China, 4-9 November, 2016.
[2015] H. Zhang*, “Hierarchical Sparsity-Regularized Framework Based Frequency Hopping Spectrum Estimation With Antenna Array System,” International Conference on Information Technology, May 2015.
[2015] H. Zhang*, "Extending Access Point Coverage Area through Opportunistic Routing for Multi-Hop WLAN Accesses," accepted by ICPADS 2014.
[2014] H. Zhang*, "Blind Frequency Hopping Spectrum Estimation: A Bayesian Approach," accepted for SustainCom 2014.
[2014] H. Zhang*, "Pedestrian detection in highly crowded scenes using "online" dictionary learning for occlusion handling," accepted for IEEE ICIP, 2014.
[2014] H. Zhang*, "Automatic Multi-Speaker Speech Recognition System Based on Time-Frequency Blind Source Separation under Ubiquitous Environment," in Proc. of IEEE Conference on Industrial Electronics and Applications (ICIEA),Hangzhou, China, Jun. 2014, pp. 101-106.
[2014] H. Zhang, "Supervised Modulation Classi cation Based on Ambiguity Function Image and Invariant Moments," in Proc. of IEEE Conference on Industrial Electronics and Applications (ICIEA), Hangzhou, China, Jun. 2014, pp. 1461-1465.
[2014] H. Zhang, "IF Extraction of Multicomponent Radar Signals based on Time-Frequency Gradient Image," in Proc. of IEEE Radar Conference, Cincinnati, OH, May 19-23, 2014, pp. 0344-0349.
[2014] H. Zhang, "Time-Varying Filtering and Separation of Nonstationary FM Signals in Strong Noise Environments," in Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, 4-9 May 2014, pp. 4171-4175.
[2013] H. Zhang, "Estimation Of Underdetermined Mixing Matrix With Unknown Number Of Overlapped Sources In Short-Time Fourier Transform Domain," in Proc. of International Conference on Acoustics, Speech,and Signal Processing (ICASSP), May 2013, pp. 6486-6490.
[2012] H. Zhang, "Time-Frequency Peak Filtering for the Recognition of Communication Signals," in Proc. of International Symposium on Instrumentation & Measurement,Sensor Network and Automation (IMSNA), Aug. 2012, pp.19-23.
其它：
获奖情况： 2020-2021 武汉大学教学成果奖一等奖
2019-2020 武汉大学教师教学创新大赛二等奖
2018-2019 武汉大学第九届青教赛一等奖
2015-2020 湖北省楚天学子
2011-2014 新加坡淡马锡实验室奖学金
2011-2012 武汉大学优秀研究生
2008-2010 法国国立工艺大学(CNAM)博士生奖学金
2009-2010 法语语言中级合格证书
2007-2008 中国国家留学基金管理委员会中法联合博士培养项目奖学金
2006-2007 华为专项奖学金
2005-2006 湖北省优秀学士论文

主要社会及学术兼职： 长期担任包括IEEETrans. on Information Forensics & Security,IEEE Trans. on Signal Processing, IEEE Trans. on Wireless Communications, IEEE Trans. on Vehicular Technology，Elsevier Signal Processing等国际期刊论文审稿人。

所带研究生情况： 指导博士和硕士情况 1.已毕业并获得博士学位的研究生2名：
雷谦 黄山
2. 已毕业并获得硕士学位的研究生20名：
2013级： 陈鸾（获得法国CNAM大学博士学位）

2014级： 代翱 彭冬青
2015级： 郑玲 张学玲
2016级： 陈石娥 樊路之 胡靓 李攀东 吕恒伟
2017级： 严云昊 蔡忠强 成帅 胡月
2018级： 卢雯桢 王慧娇 肖易明 严秦梦颖
2019级： 陈静宇 王翔

欢迎具有电子，计算机，自动化，数学，物理等相关背景的同学保送或报考研究生，学习期间导师在能力范围内尽量提供一切帮助。
若有意进行大学生科研，提前进入实验室学习专业相关知识的高年级同学，可邮件联系。