首页> 外文会议>Advances in Natural Computation pt.2; Lecture Notes in Computer Science; 4222 >Heuristic Searching Algorithm for Design Structurally Perfect Reconstruction Low Complex Filter Banks
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Heuristic Searching Algorithm for Design Structurally Perfect Reconstruction Low Complex Filter Banks

机译:设计结构完美重构的低复杂度滤波器组的启发式搜索算法

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摘要

Filter banks are found many applications for images and signal processing. A lower complex filter banks are desired for their effective implementation. In this paper, we address a problem how to design low complex filter banks. A perfect restructure (PR) filter banks can be factorized by lifting steps and the procedure of factorization are described as multi-fork tree-structure. A heuristic-searching algorithm was proposed for finding the optimization PR filter banks with low dynamical coefficients. The given examples show the proposed method is effective.
机译:滤波器组在图像和信号处理中有许多应用。需要较低复杂度的滤波器组以实现其有效实施。在本文中,我们解决了如何设计低复杂度滤波器组的问题。完美的重组(PR)滤波器组可以通过提升步骤进行分解,分解过程称为多叉树结构。提出了一种启发式搜索算法,以寻找低动态系数的优化PR滤波器组。给出的例子表明该方法是有效的。

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