About MePublicationsPresentationsProjectsMisc

 

 

 

 

 

 

 

Book

1. Weifeng Liu, Jose C. Principe, Simon Haykin. Kernel Adaptive Filtering: A Comprehensive Introduction (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) , John Wiley, 2010

Cover, Preface, Table of Contents, Chapter 1, Matlab Code

Book Chapters

5. Jose C. Principe, Deniz Erdogmus, Weifeng Liu, “Adaptive Information Filtering with Error Entropy and Error Correntropy Criteria,” in Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives (Information Science and Statistics) , J. C. Principe, Springer Verlag, 2010 (Chapter 3)

4. Jose C. Principe, Deniz Erdogmus, Rodney Morejon, Weifeng Liu, “Nonlinear Adaptive Filtering with MEE, MCC and Applications,” in Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives (Information Science and Statistics) , J. C. Principe, Springer Verlag, 2010 (Chapter 5)

3. Jose C. Principe, Weifeng Liu, P. Pokharel, J. Xu, Sohan Seth, “Correntropy for Random Variables: Properties, and Applications in Statistical Inference,” in Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives (Information Science and Statistics) , J. C. Principe, Springer Verlag, 2010 (Chapter 10)  

2. Jose C. Principe, P. Pokharel, I. Santamaria, J. Xu, K. Jeong, Weifeng Liu, R. Li, “Correntropy for Random Processes: Properties, and Applications in Signal Processing,” in Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives (Information Science and Statistics) , J. C. Principe, Springer Verlag, 2010 (Chapter 11)  

1. Rendong Ying, Xiaolan Zhang, Lichun Shao, Weifeng Liu, “Remote Control Solution for Household Electrical Appliances based on JINGWEI Reference Board (Intel StrongARM SA-1110),” in Selected Designs of National Undergraduate Embedded System Design Contest, Shanghai Jiao Tong University Press, 2002

 

Journals

9. Weifeng Liu, Il Park, J. Principe, “An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters,” IEEE Transactions on Neural Networks, Volume 20, Issue 12, December 2009 (pdf)

8. Weifeng Liu, Il Park, Yiwen Wang, J. Principe, “Extended Kernel Recursive Least Squares Algorithm,” IEEE Transactions on Signal Processing, Volume 57, Issue 10, October 2009 (pdf)

7. P. Pokharel, Weifeng Liu, J. Principe, “A Low Complexity Robust Detector in Impulsive Noise,” Signal Processing, Volume 89, Issue 10, October 2009

6. P. Pokharel, Weifeng Liu, J. Principe, “Kernel Least Mean Square Algorithm with Constrained Growth,” Signal Processing, Volume 89, Issue 3, March 2009

5. Kyu-Hwa Jeong, Weifeng Liu, S. Han, E. Hasanbelliu, J. Principe, “The correntropy MACE filter,” Pattern Recognition, 2009, doi:10.1016/j.patcog.2008.09.023

4. Weifeng Liu and J. Principe, “Kernel Affine Projection Algorithms,” EURASIP Journal on Advances in Signal Processing, vol. 2008, Article ID 784292, 12 pages, 2008. doi:10.1155/2008/784292 (pdf)

3. Weifeng Liu, P. Pokharel, J. Principe, “The Kernel Least-Mean-Square Algorithm,” IEEE Transactions on Signal Processing, Volume 56, Issue 2, 2008 (pdf)

2.  Weifeng Liu, P. Pokharel, J. Principe, “Correntropy: Properties and Applications in Non-Gaussian Signal Processing,” IEEE Transactions on Signal Processing, Vol. 55, Issue 11, 2007 (pdf)

1. Ruijiang Li, Weifeng Liu, J. Principe, “A unifying criterion for blind source separation based on correntropy,” Signal Processing, Volume 87, Issue 8, Pages 1872-1881, August 2007

 

Conferences

10. S. Van Vaerenbergh, I. Santamaria, Weifeng Liu, J. Principe, "Fixed-budget kernel recursive least-squares," International Conference on Acoustics, Speech, and Signal Processing, Dallas, Texas, 2010

9. Weifeng Liu, J. Principe, "Extended recursive least squares algorithm in RKHS," 1st IAPR Workshop on Cognitive Information Processing, Santorini, Greece, 2008 (pdf)

8. W. Liu, J. Principe, "The wellposedness analysis of kernel adaline," Intl. Joint Conf. on Neural Networks, Hongkong, 2008 (pdf)

7. Dongliang Duan, Weifeng Liu, Pengwen Chen, M. Rao, J. Principe, "Variance and bias analysis of information potential and symmetric information potential," IEEE Int. Workshop on Machine Learning for Signal Processing, Thessaloniki, Greece, 2007

6. Weifeng Liu, P. Pokharel, J. Principe, "Recursively Adapted Radial Basis Function Networks and its Relationship to Resource Allocating Networks and Online Kernel Learning," IEEE Int. Workshop on Machine Learning for Signal Processing, Thessaloniki, Greece, 2007 (pdf)

5. P. Pokharel, Weifeng Liu, J. Principe, “Kernel LMS,” International Conference on Acoustics, Speech, and Signal Processing, Honolulu, Hawaii, 2007

4. Weifeng Liu, P. Pokharel, J. Principe, “A New information theoretic Measure of PDF Symmetry,” International Conference on Acoustics, Speech, and Signal Processing, Honolulu, Hawaii, 2007 (pdf)

3. Weifeng Liu, P. Pokharel, J. Principe, “Error Entropy, Correntropy and M-Estimation,” IEEE Int. Workshop on Machine Learning for Signal Processing, Maynooth, Ireland, 2006 (pdf)

2. Sudhir Rao, Allan Martins, Weifeng Liu, J. Principe, “Information Theoretic Mean Shift Algorithm,” IEEE Int. Workshop on Machine Learning for Signal Processing, Maynooth, Ireland, 2006

1. Weifeng Liu, P. Pokharel, J. Principe, “Correntropy: A Localized Similarity Measure,” Intl. Joint Conf. on Neural Networks, Vancouver, BC, Canada, 2006 (pdf)

 

Theses

3. Adaptive Filtering in Reproducing Kernel Hilbert Spaces, Ph.D. Dissertation, University of Florida, 2008

2. OFDM系统中Turbo编码混合ARQ技术的研究和实现 (Research and Implementation on Turbo Hybrid Automatic Repeat  ReQuest Schemes in OFDM Systems), MS thesis, Shanghai Jiao Tong University, 2005

1. H.264中运动估计算法的研究 (Analysis of Motion Estimation Algorithms in H.264), BS thesis, Shanghai Jiao Tong University, 2003

 

Please feel free to contact me if you are interested in any of the above publications.　

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