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Wide-sense stationnary random processes analysis through wavelet packets decomposition. Statistical properties of wavelet coefficients

机译:基于小波包分解的广义平稳随机过程分析。小波系数的统计特性

摘要

This paper deals with wide—sense stationnary processes analysis through waveletudand wavelet packets decomposition. This study is based on the theory of StochasticudIntegral. In the case of band—limited processes (which are those encountered a tudmost from a praticai point of view), we show that the wavelet packets coefficien tudara asymptotically uncorrelated random variables, taking into account the wavele tudpackets regularity and the decomposition level . The relation between this convergenceudtoward uncorrelated random variables and the subspaces frequency localizationudis analysed.
机译:本文通过小波 ud和小波包分解来进行广义的平稳过程分析。本研究基于随机 udIntegral理论。在带限制的过程中(从实际角度来看,这是最困难的),我们考虑到小波t udpackets的规律性和噪声,证明小波包系数t udara渐近不相关。分解水平。分析了该收敛偏向不相关的随机变量与子空间频率定位之间的关系。

著录项

  • 作者

    PASTOR (D.); GAY (R.);

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  • 年度 1995
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  • 正文语种 en_US
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