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Compression and realization of power quality disturbance data based on wavelet analysis

机译:基于小波分析的电能质量扰动数据的压缩与实现

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It is an important aspect of wavelet application that wavelet transform is used for signal compression, and the series of compactly supported orthogonal wavelet has outstanding local properties. This paper uses the method which combines the compactly supported orthogonal wavelet db4 with threshold method of minimax theorem to compress power quality disturbance signals. The concrete operation process and the program flow are given, and the problems of selecting wavelet and choosing threshold are also mainly discussed. The MATLAB simulation shows the proposed method can achieve a good compression effect through the proper choice of decomposition layer.
机译:它是小波应用的一个重要方面,小波变换用于信号压缩,并且该系列紧凑型正交小波具有出色的本地特性。本文采用了将紧凑型正交小波DB4组合的方法,具有最小值定理的阈值方法来压缩功率质量扰动信号。给出了具体操作过程和节目流,并且还主要讨论了选择小波和选择阈值的问题。 Matlab仿真显示所提出的方法可以通过正确选择分解层来实现良好的压缩效果。

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