自回归模型的时变小波包分解

方浩; 周冰; 薛培鼎; 冯祖仁

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自回归模型的时变小波包分解

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- 文章访问数: 1950
- HTML全文浏览量: 98
- PDF下载量: 484
- 被引次数: 0
出版历程
- 收稿日期: 1999-05-21
- 修回日期: 2000-05-19
- 刊出日期: 2001-11-19

TIME-VARYING WAVELET PACKETS DECOMPOSITION FOR AR MODEL

摘要

摘要: 该文提出了一种基于动态规划的时变小波包分解算法。利用此算法进行小波包分解可以解决以往分解算法如单树算法无法进行时频分解而双树算法只能进行二叉树分解的问题。通过对时变自回归模型的分解仿真实验,表明在处理时变信号方面,此分解算法比其它算法更具有灵活性。
- 小波包; 动态规划; 时频分解
Abstract: Based on dynamic programming, a time-varying wavelet packets decomposition algorithm is proposed. Using this algorithm, the problems, that the single tree algorithm cannot adapt to nonstationary signals and the double tree algorithm has strict binary restriction, are solved. Simulation results varify that this algorithm is more flexible than the others in time-varying signal processing.

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参考文献(1)

M.I. Doroslogcki, H. Fan, Wavelet-based linear system modeling and adaptive filtering, IEEE Trans. on Signal Processing, 1996, 44(5), 1156-1167.[2]I. Scott, B. Mulgrew, Nonlinear system identification and predication using orthogonal functions,IEEE Trans. on Signal Processing. 1997, 45(7), 1842-1853.[3]M. K. Tsatsanis, G. B. Giannakis, Time-varying system identification and model validation using wavelet, IEEE Trans. on Signal Processing, 1993, 41(12), 3512-3523.[4]Zixing Xiong, K. Ramchandran, Flexible tree-structured signal expansions using tine-varying wavelet packets, IEEE Trans. on Signal Processing, 1997, 45(2), 333-344.[5]C. Herley, J. Kovacevic, Tiling of time-frequency plane: construction of arbitrary orthogonal bases and fast tiling algorithms, IEEE Trans. on Signal Processing, 1993, 41(12), 3341 3360.

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文章访问数: 1950
HTML全文浏览量: 98
PDF下载量: 484
被引次数: 0

留言板

自回归模型的时变小波包分解

计量

出版历程

TIME-VARYING WAVELET PACKETS DECOMPOSITION FOR AR MODEL

计量

出版历程

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