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Information Technology Journal

Year: 2008 | Volume: 7 | Issue: 2 | Page No.: 320-325
Research Article

Multi-Resolution Signal Decomposition and Approximation Based on SVMS

Wang Liejun
Department of Information and Communication Engineering, Xi`an Jiaotong University, People`s Republic of China
Jia Zhenhong
School of Information Science and Engineering, Xinjiang University, People`s Republic of China
Lu Zhaogan
Department of Information and Communication Engineering, Xi`an Jiaotong University, People`s Republic of China
Support Vector Machines (SVMs) and Multi-Resolution Analysis (MRA) both have been developed for solving signal approximation problem. Replacing the approximation criterion of MRA by which be used in SVMs, multi-resolution signal decomposition and approximation algorithm based on SVMs can be derived. The advantage of this algorithm not only reduces the approximation error by introducing structure risk, but also has better smoothness of approximation function. Experiment illustrates that this algorithm has better approximation performance than conventional MRA when applying it to the approximation of stationary signal.
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