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首页> 外文期刊>Information Technology Journal >Multi-Resolution Signal Decomposition and Approximation Based on SVMS
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Multi-Resolution Signal Decomposition and Approximation Based on SVMS

机译：基于SVMS的多分辨率信号分解与逼近

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摘要

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.
机译：支持向量机（SVM）和多分辨率分析（MRA）均已开发用于解决信号逼近问题。替代用于支持向量机的MRA近似准则，可以推导多分辨率信号分解和基于支持向量机的近似算法。该算法的优点不仅是通过引入结构风险来减小近似误差，而且具有较好的近似函数平滑度。实验表明，该算法在固定信号逼近中比常规MRA具有更好的逼近性能。

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