EMD Algorithm with Approximate Zero Crossings

TL;DR

This paper introduces a new EMD algorithm based on approximate zero crossings, improving signal decomposition accuracy especially for signals with close frequencies, and analyzes its filtering properties and convergence rate.

Contribution

A novel EMD formulation utilizing approximate zero crossings that enhances decomposition performance for complex signals with close frequencies.

Findings

The new algorithm performs better than classical EMD on signals with close frequencies.

It exhibits favorable filtering properties.

It has a comparable or improved convergence rate.

Abstract

The classical EMD algorithm has been used extensively in the literature to decompose signals that contain nonlinear waves. However when a signal contain two or more frequencies that are close to one another the decomposition might fail. In this paper we propose a new formulation of this algorithm which is based on the zero crossings of the signal and show that it performs well even when the classical algorithm fail. We address also the filtering properties and convergence rate of the new algorithm versus the classical EMD algorithm.