当前位置: X-MOL首页全球导师 国内导师 › 谷源涛

个人简介

教育经历 1998.12-2003.7 清华大学电子工程系 博士学位 1994.4-1998.7 西安交通大学信息与通信工程系 学士学位 工作经历 工作经历 2012.8-2013.8 美国麻省理工学院电气工程与计算机科学系 访问学者 2010.4至今 清华大学电子工程系 博士生导师 2006.12至今 清华大学电子工程系副教授、教授 2003.8-2006.12 清华大学电子工程系 讲师 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 曾获荣誉 清华大学青年教师教学优秀奖(2010-04-15) 清华大学教学成果奖一等奖(2008-04-15) 清华大学优秀博士学位论文(2003-04-15)

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

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. 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)。 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 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 X. Shen and Y. Gu, Restricted Isometry Property of Subspace Projection Matrix Under Random Compression, IEEE Signal Processing Letters, 22(9):1326-1330, 2015. 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. 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. 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. 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. 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. 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. J. Ding, L. Chen, and Y. Gu, Perturbation Analysis of Orthogonal Matching Pursuit, IEEE Transactions on Signal Processing, 61(2):398-410, 2013. 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. 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. 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. 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. 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. 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. 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. 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. 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. Y. Gu, J. Jin, and S. Mei, l0 Norm Constraint LMS for Sparse System Identification, IEEE Signal Processing Letters, 16(9):774-777, 2009. 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. Y. Gu, K. Tang, and H. Cui, LMS algorithm with gradient descent filter length. IEEE Signal Processing Letters, 11(3): 305-307, 2004. 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. 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. 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. 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.

学术兼职

2015.4至今 EURASIP Digital Signal Processing, Handling Editor 2015.4至今 IEEE Transactions on Signal Processing, Associate Editor

推荐链接
down
wechat
bug