EEG signal preprocessing and analysis was performed offline using the EEGLAB toolbox in MATLAB. The ERP time-domain features ... converted to the time-frequency features using the short-time Fourier ...

The method adopts an encoder-decoder deep learning architecture, integrating Fourier Transform and Wavelet Transform to extract comprehensive time-frequency information. Fast Fourier Transform (FFT) ...

This article proposes a channel parameter estimation scheme leveraging fractional Fourier transform (FrFT) and compressed sensing (CS) technology. In order to achieve better pulse compression effects ...

While Tensor Core Units (TCUs) excel in AI tasks, their application to HPC algorithms like stencil computations faces significant challenges due to sparsity, which leads to underutilization and ...

Figure 1 shows a graphical example of the image processing methodology applied. Videos and images were then processed using Matlab R2023a, by extracting a frame every 30 s. For each extracted frame, ...

School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China ...

This project has not set up a SECURITY.md file yet.

Learning in infinite dimension with neural operators.