Application of fourier and wavelet transforms to the identification of EMI noise sources in SMPSs

L. Coppola, S. Buso, Qian Liu, D. Boroyevich, A. Bell
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引用次数: 8

Abstract

The Fourier and wavelet transform are applied to analyze the signals in a power electronics converter. The wavelet transform makes it possible to have important information about the time evolution of the frequency spectrum. Thank to this post-processing, the source of the harmonic peaks found in the Fourier spectrum can be identified in the time evolution of the signals of the circuit under study
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傅立叶和小波变换在smps中电磁干扰噪声源识别中的应用
应用傅里叶变换和小波变换对电力电子变换器中的信号进行分析。小波变换使我们能够获得有关频谱时间演化的重要信息。由于这种后处理,在傅立叶频谱中发现的谐波峰值的来源可以在研究电路的信号的时间演化中识别出来
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