Abstract: This study evaluates wavelet-based denoising techniques for partial discharge signals, specifically Damped Exponential Pulse (DEP) and Damped Oscillatory Pulse (DOP) types. We analyzed 63 ...
Abstract: In this paper, we reveal a novel haze-specific wavelet degradation prior observed through wavelet transform analysis, which shows that haze-related information predominantly resides in ...
Noise suppression is a key component in microseismic monitoring technology. Accurate denoising of microseismic signals is crucial for ensuring reliable data for locating mining-related seismic events ...
Wavelet-Enhanced PaDiM extends the PaDiM anomaly-detection framework by inserting a discrete wavelet transform (DWT) step before feature concatenation. Combining multi-layer CNN activations with ...
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