Kymatio is an implementation of the wavelet scattering transform in the Python programming language, suitable for large-scale numerical experiments in signal processing and machine learning.

Wavelets provide new capabilities for analyzing real-time signals. This introductory article provides an overview and presents the basic mechanisms involved in wavelets. In many signal processing ...

The lifting scheme offers a refined approach to implementing the Discrete Wavelet Transform (DWT) by decomposing traditional convolution-based filtering into a succession of simple, in-place ...

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 ...

A wavelet is a small localized wave based on a mathematical function. Wavelet analysis is able to represent signals in the time and frequency domains at the same time. Many modern applications have ...

Representing images in ways other than pixels allows for powerful processing. This subject, based on signal processing, requires a mathematical fluency to understand the concepts fully. Many software ...