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Adaptive harmonic wavelet transform with applications in vibration analysis

机译:自适应谐波小波变换在振动分析中的应用

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An adaptive harmonic wavelet transform is developed by taking advantage of the flexibility of the generalized harmonic wavelets. It first constructs a partition tree, which contains a great number of disjoint partitions of the frequency axis of a signal with each corresponding to an orthogonal harmonic wavelet basis. Then it searches the tree for the partition to represent the signal most sparsely. Since the corresponding basis is adapted to the composition of the signal, the transform can well reveal its characteristics. This is demonstrated with analysis examples of some simulated and vibration signals as well as comparisons with the conventional orthogonal harmonic wavelet transforms and wavelet packet transform. (C) 2002 Elsevier Science Ltd. All rights reserved. [References: 26]
机译:通过利用广义谐波小波的灵活性,开发了自适应谐波小波变换。首先构造一个分区树,它包含信号频率轴的大量不相交的分区,每个分区都对应于正交谐波小波基。然后,它在树中搜索该分区以最稀疏地表示信号。由于相应的基础适合信号的组成,因此变换可以很好地揭示其特性。通过一些模拟和振动信号的分析示例以及与传统正交谐波小波变换和小波包变换的比较,证明了这一点。 (C)2002 Elsevier ScienceLtd。保留所有权利。 [参考:26]

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