Online Monitoring of Power Systems Using Wavelet Transform

This program implements wavelet transform for online monitoring of power systems. Detection signals in power system monitoring often contain substantial background noise, making analysis challenging. The wavelet transform approach effectively addresses this issue. The implementation uses db3 wavelet for 5-level decomposition, producing detailed and approximation signals at each level through a multi-resolution analysis framework.

Simulating White Noise and Rayleigh-Distributed Noise as Signal Background Noise

Simulation of white noise and Rayleigh-distributed noise as signal background noise, followed by background noise denoising analysis using wavelet denoising, EMD denoising, and combined EMD-wavelet denoising methods with code implementation details.