A singular value decomposition updating algorithm for subspace tracking


Finally, numerical simulations and practical application are carried to further demonstrate the efficiency of the proposed algorithm.Xiaowei Feng received the Bachelor’s and master’s degree from Xi’an Research Institute of High Tech-nology, Xi’an, China, in 20, respectively, both in electrical engineering. In this paper we develop new Newton and conjugate gradient algorithms on the Grassmann and Stiefel manifolds.These manifolds represent the constraints that arise in such areas as the symmetric eigenvalue problem, nonlinear eigenvalue problems, electronic structures computations, and signal proces ..." In this paper we develop new Newton and conjugate gradient algorithms on the Grassmann and Stiefel manifolds. In this paper, we extend the well known QR-updating scheme to a similar but more versatile and generally applicable scheme for updating the singular value decomposition (SVD).



Diagnosing anomalies is critical for both network operators and end users. Many algorithms have been proposed to deal with some but not all of these problems.Xiangyu Kong received the Bachelor’s degree from Beijing Institute of Technology, Beijing, China, in 1990, the Master’s degree from the Xi’an Research Institute of High Technology, Xi’an, China, in 2000, and the Ph. degree in Control Science and Engineering from the Xi’an Jiaotong University, Xi’an, China, in 2005.From 1990 to 1997, he was an engineer at the X-i’an Optical Instrument Factory, Xi’an, China.Since 1997, he has been with the Xi’an Research Institute of High Technology, Xi’an Shaanxi province, China. His research interests include adaptive signal processing, nonlinear system modeling and its application, and fault diagnosis.



A singular value decomposition updating algorithm for subspace tracking comments


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