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Content Provider | IEEE Xplore Digital Library |
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Author | Zhijing Yang Chunmei Qing Ling, B.W. Wai Lok Woo Sanei, S. |
Copyright Year | 2012 |
Description | Author affiliation: School of Engineering, University of Lincoln, Lincolnshire, LN6 7TS, United Kingdom (Chunmei Qing; Ling, B.W.) || School of Electrical, Electronic and Computer Engineering, Newcastle University, Newcastle Upon Tyne, NE1 7RU, United Kingdom (Wai Lok Woo) || Faulty of Computer, Guangdong University of Technology, Guangzhou, 510006, China (Zhijing Yang) || Department of Computing, Faculty of Engineering and Physical Science, University of Surrey, Guildford, GU2 7XH, United Kingdom (Sanei, S.) |
Abstract | This paper proposes an optimal orthogonal overcomplete kernel design for sparse representation such that the sum of the L1 norms of a set of transformed vectors is minimized. When there is only one training vector in the set, both the optimal transformed vector and the optimal orthogonal kernel are derived analytically. When there is more than one training vector in the sets, this optimization problem is difficult to solve due to the orthogonal quadratic constraint. To address this difficulty, the paper proposes to convert the quadratic constrained optimization problem to an optimal rotational angle design problem. A set of vectors of rotational angles are initialized and the best converged vector of the rotational angles among the set is taken as the nearly globally optimal solution of the problem. Simulation results show that the proposed methodology is very effective and efficient. |
Starting Page | 1 |
Ending Page | 4 |
File Size | 650043 |
Page Count | 4 |
File Format | |
ISBN | 9781457714726 |
e-ISBN | 9781457714733 |
DOI | 10.1109/CSNDSP.2012.6292723 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-07-18 |
Publisher Place | Poland |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Training Algorithm design and analysis Signal processing algorithms Linear programming Vectors Kernel Optimization |
Content Type | Text |
Resource Type | Article |
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