火力与指挥控制2012，Vol.37Issue(9)：35-38,4.
基于LS-SVR的提升小波自适应算子构造方法与应用
Design of Signal-Adapted Operator of Lifting Scheme Based on LS-SVR
摘要
Abstract
The wavelet transform has been used in signal processing areas widely. But it is difficult to design suitable wavelet function for a given signal. This paper uses the lifting wavelet transform to obtain wavelet function with desired characteristics by designing prediction and update operator. In view of this, a new method of the construction of scale-adaptive operator is proposed. In this method, the split signal is reconstructed by the given dimensionality, and in order to minimize the mean squared error,this paper uses the least-squares support vector regression with the linear regression to construct the prediction and update operator. The simulation result shows the method's feasibility and effective. The operators designed can reflect the configuration of this giving signal, and be good at denoising and fault diagnosis.关键词
提升小波变换/自适应/最小二乘支持向量回归机/预测算子Key words
Lifting scheme/Signal-adapted/LS-SVR/Prediction operator分类
信息技术与安全科学引用本文复制引用
张鹏,倪世宏,谢川..基于LS-SVR的提升小波自适应算子构造方法与应用[J].火力与指挥控制,2012,37(9):35-38,4.基金项目
国家“863”计划基金资助项目(2010AA8090514-C) （2010AA8090514-C）
