谷源涛

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谷源涛，清华大学电子工程系教授，博士生导师。2003年毕业于清华大学电子工程系并获博士学位，优秀学位论文。毕业后留校任教至今。2012年赴美国麻省理工学院和斯坦福大学教学研修一年，2015年在美国密歇根大学做高级访问学者。主讲本科生课程“信号与系统”和“MATLAB高级编程与工程应用”，获清华大学教学成果奖一等奖2次，出版教材2本，均入选普通高等教育“十二五”国家级规划教材，其中《信号与系统—MATLAB综合实验》被北京市教委评为高等教育精品教材。研究领域包括信号处理基础理论与算法、多媒体通信和无线网络等，发表论文100多篇，核心合集他引600余次。目前担任 IEEE 信号处理理论与方法技术委员会委员，权威期刊 IEEE Transactions on Signal Processing 编委。获得2015年 GlobalSIP最佳论文奖、2015年ChinaSIP最佳期刊论文展示奖和2017年张嗣瀛杰出青年论文奖。

讲授课程：

2006-2012,2014至今信号与系统

2005至今 MATLAB高级编程与工程应用

2005-2008 数学与工程应用

[1] 谷源涛，《信号与系统（第三版）习题解析》，北京：高等教育出版社，2011年8月.

[2] 谷源涛、应启珩、郑君里，《信号与系统—MATLAB综合实验》，北京：高等教育出版社，2008年1月（入选2011年北京市高等教育精品教材）。

[3] X. Wang, P. Liu, and Y. Gu, Local-set-based Graph Signal Reconstruction, to appear in IEEE Transactions on Signal Processing, available at http://arxiv.org/abs/1410.3944

[4] X. Wang, M. Wang, and Y. Gu, A Distributed Tracking Algorithm for Reconstruction of Graph Signals, to appear in IEEE Journal of Selected Topics on Signal Processing, available at http://arxiv.org/abs/1502.02973

[5] X. Shen and Y. Gu, Restricted Isometry Property of Subspace Projection Matrix Under Random Compression, IEEE Signal Processing Letters, 22(9):1326-1330, 2015.

[6] L. Chen and Y. Gu, The Convergence Guarantees of a Non-convex Approach for Sparse Recovery, IEEE Transactions on Signal Processing, 62(15):3754-3767, 2014.

[7] J. Zhu, X. Wang, X. Lin, and Y. Gu, Maximum Likelihood Estimation from Sign Measurements with Sensing Matrix Perturbation, IEEE Transactions on Signal Processing, 62(15):3741-3753, 2014.

[8] Y. Tang, L. Chen, and Y. Gu, On the Performance Bound of Sparse Estimation With Sensing Matrix Perturbation, IEEE Transactions on Signal Processing, 61(17):4372-4386, 2013.

[9] L. Chen and Y. Gu, Oracle-Order Recovery Performance of Greedy Pursuits With Replacement Against General Perturbations, IEEE Transactions on Signal Processing, 61(18):4625-4636, 2013.

[10] X. Wang, Z. Chen, P. Liu, and Y. Gu, Edge Balance Ratio: Power Law from Vertices to Edges in Directed Complex Networks, IEEE Journal of Selected Topics in Signal Processing, 7(2):184-194, 2013.

[11] J. Jin, Q. Qu, and Y. Gu, A Robust Zero-point Attraction LMS Algorithm on Near Sparse System Identification, accepted for publication at IET Signal Processing, 2013.

[12] J. Ding, L. Chen, and Y. Gu, Perturbation Analysis of Orthogonal Matching Pursuit, IEEE Transactions on Signal Processing, 61(2):398-410, 2013.

[13] X. Wang, Y. Gu, and L. Chen, Proof of Convergence and Performance Analysis for Zero-point Attracting Projection Algorithm, IEEE Transactions on Signal Processing, 60(8): 4081-4093, 2012.

[14] G. Su, J. Jin, Y. Gu, and J. Wang, Performance Analysis of l0 Norm Constraint Least Mean Square Algorithm, IEEE Transactions on Signal Processing, 60(5): 2223-2235, 2012.

[15] Y. You, L. Chen, Y. Gu, W. Feng, and H. Dai, Retrieval of Sparse Solutions of Multiple-Measurement Vectors via Zero-point Attracting Projection, Signal Processing, 92(12): 3075-3079, 2012.

[16] H. Liu and Y. Gu, TCP with Hop-Oriented Network Coding in Multi-Radio Multi-Channel Wireless Mesh Networks, IET Networks, 1(3):171-180, 2012.

[17] Y. You, J. Jin, W. Duan, N. Liu, Y. Gu, and J. Yang, Zero-point attracting projection algorithm for sequential compressive sensing, IEICE Electronics Express, 9(4):314-319, 2012.

[18] H. Liu and Y. Gu, Incorporating Network Coding into TCP Grounded on Network Utility Maximization in Multi-Radio Multi-Channel Wireless Mesh Networks. China Communications, 2012, 9(6):28-35.

[19] H. Liu, J. Chen, S. Song, and Y. Gu, Performance Enhancement and Utility Maximization for TCP in Wireless Mesh Networks. China Communications, 2012, 9(4):35-44.

[20] H. Nan, Y. Gu, and H. Zhang, Optical Analog-to-Digital Conversion System based on Compressive Sampling, IEEE Photonics Technology Letters, 23(2):67-69, 2011.

[21] J. Jin, Y. Gu, and S. Mei, A stochastic gradient approach on compressive sensing signal reconstruction based on adaptive filtering framework, IEEE Journal of Selected topics in Signal Processing, 4(2):409-420, 2010.

[22] Y. Gu, J. Jin, and S. Mei, l0 Norm Constraint LMS for Sparse System Identification, IEEE Signal Processing Letters, 16(9):774-777, 2009.

[23] Y. Gu, Y. Chen, Z. Jiang, and K. Tang, Particle filter based multi-camera integration for face 3D-pose tracking, International Journal of Wavelets Multiresolution and Information Processing, 2006, 4(4):677-690.

[24] Y. Gu, K. Tang, and H. Cui, LMS algorithm with gradient descent filter length. IEEE Signal Processing Letters, 11(3): 305-307, 2004.

[25] Y. Gu, K. Tang, and H. Cui, Superior step-size theorem and its application - Parallel variable step-size LMS filters algorithm, Science in China Series F-Information Sciences, 47(2):151-160, 2004.

[26] Y. Gu, K. Tang, H. Cui, and W. Du, Convergence analysis of deficient-length LMS filter and optimal length sequence to model exponential decay impulse response. IEEE Signal Processing Letters, 10(1):4-7, 2003.

[27] Y. Gu, K. Tang, H. Cui, and W. Du, Optimal variable step-size LMS model and algorithm with independence assumption, Science in China Series F-Information Sciences, 46(6):409-419, 2003.

[28] Y. Gu, K. Tang, H. Cui, and W. Du, Modifier formula on mean square convergence of LMS algorithm. IEE Electronics Letters, 38(19):1147-1148, 2002.