Understanding Fourier Analysis: Uncovering Patterns in Time Series Data

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.
GitHub

DeepGFT: identifying spatial domains in spatial transcriptomics of complex and 3D tissue using deep learning and graph Fourier transform

DeepGFT requires python version >= 3.7. We tested it in python 3.8.16 and cuda 11.6.1 on Linux. pip install torch==1.12.0+cu116 torchvision==0.13.0+cu116 torchaudio ...
IEEE

Physics-Informed Neural Networks With Fourier Features for Seismic Wavefield Simulation in Time-Domain Nonsmooth Complex Media

Abstract: Physics-informed neural networks (PINNs) have great potential for flexibility and effectiveness in forward modeling and inversion of seismic waves. However, coordinate-based neural networks ...
IEEE

Robust Fourier-Based Image Alignment with Gradient Complex Image

Abstract: The paper proposes a robust image alignment framework based on Fourier transform of a gradient complex image. The proposed Fourier-based algorithm can handle translation, rotation, and ...