| 引用本文: | 粟塔山,吴翊.参数化滤波器逼近问题的全局最优算法.[J].国防科技大学学报,2006,28(6):58-62.[点击复制] |
| SU Tashan,WU Yi.The Global Optimization Algorithm for One-dimension Finite Wavelet Filters Approach[J].Journal of National University of Defense Technology,2006,28(6):58-62[点击复制] |
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| 参数化滤波器逼近问题的全局最优算法 |
| 粟塔山, 吴翊 |
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(国防科技大学 理学院，湖南 长沙 410073)
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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。 |
| 关键词: 参数化正交小波滤波器 分枝定界 全局优化 |
| DOI： |
| 投稿日期：2006-07-14 |
| 基金项目:国家自然科学基金资助项目(60673090) |
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| The Global Optimization Algorithm for One-dimension Finite Wavelet Filters Approach |
| SU Tashan, WU Yi |
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(College of Science, National Univ. of Defense Technology, Changsha 410073,China)
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| Abstract: |
| 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. |
| Keywords: formulated finite wavelet filters technology of branch-bound global optimization |
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