| 基于遗传算法的两通道完全重构滤波器组的设计 |
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| 引用本文： | 徐华楠,刘哲. 基于遗传算法的两通道完全重构滤波器组的设计[J]. 微电子学与计算机, 2008, 25(3): 144-148 |
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| 作者姓名： | 徐华楠 刘哲 |
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| 作者单位： | 西北工业大学,理学院,陕西,西安,710072 |
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| 基金项目： | 陕西省自然科学基金项目(2005F44),西北工业大学基础研究基金项目 |
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| 摘 要： | 介绍了两通道滤波器组的完全重构条件,利用Euclidean分解算法,将两通道滤波器组的设计问题简化为寻找给定特性的低通滤波器的最佳Euclidean互补滤波器的单变量非线性优化问题,并探讨了采用遗传算法设计此类高度非线性优化问题.最后通过设计例子说明将遗传算法应用到滤波器组的设计中是可行的.
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| 关 键 词： | 两通道滤波器组 遗传算法 完全重构 因式分解 |
| 文章编号： | 1000-7180(2008)03-0144-05 |
| 修稿时间： | 2007-03-13 |
Design of Two-Channel PR Filter Banks Based on Genetic Algorithm |
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| XU Hua-nan,LIU Zhe. Design of Two-Channel PR Filter Banks Based on Genetic Algorithm[J]. Microelectronics & Computer, 2008, 25(3): 144-148 |
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| Authors: | XU Hua-nan LIU Zhe |
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| Abstract: | This paper presents an effective method based on genetic algorithm for designing two-channel perfect reconstruction (PR) filter banks. After the perfect-reconstruction (PR) conditions are studied, the design problem is simplified to search for the best euclidean complementary-filter corresponding to the given low-pass filter by using Euclidean factorization. Then genetic algorithm is used to compute the nonlinear programming problem. Finally an example is given to illustrate the proposed method is effective. |
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| Keywords: | two-channel filter banks genetic algorithm perfect reconstruction factorization |
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