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

Multiple Fourier Series Method for Amplitude-Frequency Characteristics of PWM Pulses With Amplitude-Frequency Time-Varying Modulation Signals

Abstract: With increasing penetration of renewable energy generation and power electronic converters, waveform distortion and resonance related to high-frequency harmonics and interharmonics ...
IEEE

Die-Level Transient Thermal Imaging Based on Fourier Series Reconstruction for Power Industrial Electronics

Abstract: A novel solution for off-chip electrothermal studies in power devices at die level and short timescales is reported. The proposed method involves acquiring a sequence of thermal images on ...