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Switching signal is always composed of a series of fast voltage and current transient impulsive waves, which are created during turn-on and turn-off operation of the switching elements. This paper presents a scalogram and phase spectrum analyzing approach for the high-frequency switching noise detection. A complex Gaussian wavelet is used to extract the oscillation feature of the noise signal. The proposed scheme is more suitable in discriminating the type of switching noise than conventional wavelet transform approaches. Simulation results show the effectiveness and advantages of the method.

We have already proposed a new type of wavelet, named the "motion wavelet", whose mother wavelet is varied according to a certain reference signal, and at the same time, transforms another target signal. The wavelet allows variable frequency elements to be picked out from the target signal according to the reference signal. This motion wavelet can also be applied to making entertainment sounds. However, it generates only monaural sound and its effect is simple. In this paper, we propose a new type of motion wavelet having double the modulation performance by the real and imaginary parts of its complex mother wavelet varied according to two different reference signals. Furthermore, we introduce a fast calculation method for it and one of its applications to entertainment sounds.