Wavelet transform techniques have emerged as a powerful tool for analysing signals whose spectral content varies over time. By decomposing a signal into scaled and translated versions of a ...

A novel wavelet-based architecture for physiological signal processing that leverages adaptive multi-scale decomposition and frequency-guided masking to advance self-supervised learning ...

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 ...

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 ...

Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI methods face two ...

Abstract: Signal processing plays a critical role in micro-electromechanical system (MEMS) inertial sensors, where the wavelet transform is commonly used for noise reduction. The effect of the wavelet ...

Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China ...

Functional Magnetic Resonance Imaging (fMRI) is an advanced neuroimaging method that enables in-depth analysis of brain activity by measuring dynamic changes in the blood oxygenation leveldependent ...

ABSTRACT: Anomaly detection in complex crowd scenes is a challenging task due to the inherent variability in crowd behaviors, interactions, and scales. This paper proposes a novel hybrid model that ...

The Presidential Records Act and the Federal Records Act require officials to preserve communications related to government business. By Luke Broadwater Luke Broadwater is a White House correspondent.