| 小波包分析在信号压缩中的应用 |
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| 引用本文： | 杨超,胥泽银,卢玉蓉.小波包分析在信号压缩中的应用[J].地球信息科学,2004,6(2):92-96. |
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| 作者姓名： | 杨超 胥泽银 卢玉蓉 |
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| 作者单位： | 成都理工大学信息管理学院, 成都 610059 |
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| 摘 要： | 小波包分析是近些年在小波的基础上发展起来的,将信号在小波包最优基下展开,利用小波包最优基极好的空间、尺度定位性,使得信号的小波包变换系数在小波变换域尽可能的集中,从而使在不降低压缩信号的质量情况下,进一步地提高信号压缩比成为可能。据此,本文介绍了小波变换、多尺度分析,重点讨论了小波包分析以及小波包最佳基的选取,同时针对小波分析在信号压缩中的局限性,研究小波包分析来进行信号的压缩,从而提高了信号的压缩比和重建信号的质量,并给出实验验证。
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| 关 键 词： | 小波变换 多尺度分析 小波包分析 信号压缩 |
| 收稿时间： | 2003-04-26; |
| 修稿时间： | 2003年4月26日 |
An Application of Wavelet Package Analysis to the Signal Compression |
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| YANG Chao,XU Zeyin,LU Yurong.An Application of Wavelet Package Analysis to the Signal Compression[J].Geo-information Science,2004,6(2):92-96. |
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| Authors: | YANG Chao XU Zeyin LU Yurong |
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| Institution: | Chengdu University of Technology,Chengdu 610059, China |
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| Abstract: | Wavelet package analysis has been rapidly developed based on wavelet transform in recent years. Signal was expressed as a linear combination of a set of best bases of wavelet package, the energy of expansion coefficients are concentrated in a small number of coefficient because of the good location properties of wavelet package best bases. So it is possible to achieve high compression ratios without any loss of useful and important information of the compressed signal. Owing to the limitation of wavelet transform, the authors of this paper have researched wavelet package analysis in the signal compression and given some experimental verifications. |
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| Keywords: | wavelet transform multiresolution analysis wavelet package analysis signal compression |
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