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.
IEEE

Identification of harmonic loads using fast fourier transform and radial basis Function Neural Network

Abstract: Harmonic distortion is one of power quality problems in power system which it could affect equipment malfunction and many other problems. Therefore harmonic distortion load identification ...
IEEE

Identifying Time-series Functions of regulated Measuring Instruments by means of advanced Deep Learning and Machine Learning

Abstract: Smart measuring instruments encompass software systems that are subject to legal regulations and require conformity assessments to ensure compliance during use, such as in Legal Metrology.
GitHub

tiskw/random-fourier-features

RFF can be applicable to many other machine learning algorithms than the above. The author will provide implementations of the other algorithms soon. This module supports training/inference on GPU.