| 一种最优小波包基搜索算法 |
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| 引用本文： | 陈东明,朱志良,高晓兴,杨广明.一种最优小波包基搜索算法[J].哈尔滨工业大学学报,2009,41(1):200-203. |
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| 作者姓名： | 陈东明 朱志良 高晓兴 杨广明 |
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| 作者单位： | 东北大学软件学院,沈阳,110004
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| 基金项目： | 高等学校博士学科点专项科研基金 |
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| 摘 要： | 提出了一种最优小波包基搜索算法.信号奇异点的小波分解系数远大于其余点,利用这一特性构成有效的数据压缩方法.在小波包分解各节点中保留与信息有关的较大的系数,去掉其余干扰数据.由于有关的信息被保留下来,舍弃的是大量无关的干扰,一方面达到了消噪的目的,另一方面大大压缩了数据,便于数据的存储和传输.最后基于该算法给出了算法用例,并将该算法应用于分解压缩,得到了较好的效果,证明该算法在工程应用中具有一定的价值.
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| 关 键 词： | 小波包 最优基 压缩 重构 信息花费 |
A searching algorithm based on the best bases of wavelet packet |
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| CHEN Dong-ming,ZHU Zhi-liang,GAO Xiao-xing,YANG Guang-ming.A searching algorithm based on the best bases of wavelet packet[J].Journal of Harbin Institute of Technology,2009,41(1):200-203. |
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| Authors: | CHEN Dong-ming ZHU Zhi-liang GAO Xiao-xing YANG Guang-ming |
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| Affiliation: | (Software College,Northeastern University,Shenyang 110004,China) |
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| Abstract: | A searching algorithm using wavelet packet transform based on the best bases is proposed.The wavelet decomposition coefficients in signal singularities are far greater than others,and an effective compression approach can be put forward based on this characteristic.It reserves the bigger coefficients related to useful information in the nodes of wavelet packet decompression and gets rid of the remaining interferential data.As a result,signal is denoised and greatly compressed,and easily to be stored and transfered.Examples of the provided algorithm and their better results than other approaches used in decomposition and compression are performed to illustrate the advantages of this algorithm. |
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| Keywords: | wavelet packet best bases compression reconstruction information cost |
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