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褶积模型参数估计的递归算法及其收敛性 被引量:1

A Recursive Arithmetic and Its Convergence on Convolutional Model-Parameters
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摘要 讨论褶积模型参数估计问题.通过对数据的正交化得到了模型参数的递归算法.从理论上分析这种递归算法的收敛性,并得到一个判断正交化过程收敛性的充分条件,在此条件下递归算法必收敛到褶积模型中的子波A=(1,a1,…,aq). The problem of the parametric estimation on a convolutional model is discussed. A recursive arithmetic of the model parameters is obtained by orthogonalizing data. The convergence of the recursive arithmetic is discussed, and a sufficient condition on the convergence is obtained. According to this condition, the recursive arithmetic has to converge to the wavelet A: (1, a1 ,…, aq) of the convolutional model.
出处 《西南师范大学学报(自然科学版)》 CAS CSCD 北大核心 2005年第4期633-637,共5页 Journal of Southwest China Normal University(Natural Science Edition)
基金 重庆市科委应用基础研究资助项目(030826)
关键词 褶积模型 参数估计 递归算法 算子的范数 收敛性 convolution model parameter estimation recursive arithmetic norm of operator convergence
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参考文献3

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同被引文献13

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