Abstract: Despite the broad application of the analytic wavelet transform (AWT), a systematic statistical characterization of its magnitude and phase as inhomogeneous random fields on the ...

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 ...

Abstract: This paper presents a robust method for ECG signal classification by integrating Wavelet Scattering Transform (WST) with a lightweight CNN-LSTM network. Unlike the conventional Continuous ...

This project explores how real-world sounds can be analyzed in the frequency domain using signal processing techniques in Python. By applying Fourier Transform and spectral feature extraction, ...

open-source Python toolkit that transforms padel match broadcast footage into structured tracking data, event streams, and tactical analytics. It is the first comprehensive CV-based analytics pipeline ...