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Since the wavelet transform has good time

于 2022-02-01 发布 文件大小:178.35 kB
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由于小波变换具有良好的时频分析特性,已经广泛应用于各种信号分析领域。由于小波变换算法的复杂性,如果直接计算小波变换,所需内存较大,耗时较长。尽管当今处理器芯片运算速度得到了大幅度的提高,但仍然在实时性上不能满足要求。为了简化计算过程,人们相继设计了一系列的快速算法来计算小波变换,以降低其运算次数。-Since the wavelet transform has good time-frequency analysis features, has been widely used in various fields of signal analysis. Wavelet transform algorithm as a result of the complexity, if the direct calculation of wavelet transform, the larger memory requirements, a longer time-consuming. Despite the computational speed of today

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