This monograph contains 10 lectures presented by Dr. Daubechies as the principal speaker at the 1990 CBMS-NSF Conference on Wavelets and Applications. Wavelets are a mathematical development that many ...

This repository provides an overview of the pattern identification system designed for voltage time series data. The system utilizes machine learning and deep learning techniques to detect and ...

RadYOLOLet employs two independently trained convolutional neural networks, RadYOLO and Wavelet-CNN. RadYOLO operates on spectrograms and provides most of the capabilities of RadYOLOLet unless the ...

This letter introduces WaveMamba, a novel approach that integrates wavelet transformation with the spatial-spectral Mamba (SSMamba) architecture to enhance HSI classification. WaveMamba captures both ...

For added efficiency in high-resolution generation, they introduced invertible wavelet transforms at the beginning and end of the network, using 2-level Haar wavelets to downsample images in pixel ...

Researchers have tried to identify alternative signals, such as so-called threshold crossings or local field potentials ...

The journal Geo-Spatial Information Science will soon release a special issue showcasing the mid-term achievements of the ...

There will be mostly sunny skies. The high will be 26°. Moderate air quality (51-100) Primary pollutant O₃ 63 μg/m³ Small trees in leaf begin to sway; crested wavelets form on inland waters. Pressure ...

We present a method for direct imaging of the electric field networks in the human brain from electroencephalography (EEG) data with much higher temporal and spatial resolution than functional MRI ...