Financial Signal Processing in Python I - Empirical Mode Decomposition

Part I of Decomposing Time Series and Understanding their Components

This article will be the part I of a series of articles that present the signal processing field in an easy and straightforward manner. Financial Signal Processing (FSP) is the application of signal processing techniques to financial time series—like stock prices, returns, volatility, or economic indicators.

It treats price movements like signals—similar…