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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:小波应用的一个重要方面是将小波变换用于信号压缩,并且该系列紧致支持的正交小波具有出色的局部特性。本文采用将紧支持的正交小波db4与最小极大定理的阈值方法相结合的方法来压缩电能质量扰动信号。给出了具体的操作过程和程序流程,并重点讨论了小波的选择和阈值的选择问题。 MATLAB仿真示出了所提出的方法可以实现通过分解层的适当选择良好的压缩效果。

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