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参数化滤波器逼近问题的全局最优算法 被引量：1

The Global Optimization Algorithm for One-dimension Finite Wavelet Filters Approach
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摘要 基于Lipschitz下界估值和分枝定界技术,给出了一维参数化小波滤波器逼近问题的全局最优算法。由于充分利用了滤波器逼近问题的特点,本方法将原来的Lipschitz算法的线性收敛速率提高为二次收敛速率。 Based on Litschitz infimum estimate and the technology of branch-bound,the global optimization algorithm for one-dimension finite wavelet filter approach is presented,Taking advantage of the peculiarity of this filter approach problem,the convergence rate of Lipschitz algorithm was improved from linear to second-order.
作者 粟塔山 吴翊
机构地区 国防科技大学理学院
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2006年第6期58-62,共5页 Journal of National University of Defense Technology
基金 国家自然科学基金资助项目(60673090)
关键词 参数化正交小波滤波器 分枝定界 全局优化 formulated finite wavelet filters technology of branch-bound global optimization
分类号 O221 [理学—运筹学与控制论]
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参考文献11

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  • 2Si-long Peng (NADEC, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China).N DIMENSIONAL FINITE WAVELET FILTERS[J].Journal of Computational Mathematics,2003,21(5):595-602. 被引量：3
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二级参考文献14

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国防科技大学学报
2006年 第6期

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