What is it about?

A novel signal processing algorithm based on the adaptive parametric time-frequency analysis theory to blindly separate the mixtures of non-stationary sources is presented.

Featured Image

Why is it important?

Simulations and experiments illustrate the applicability of our approach for detecting non-stationary changes in high speed train.

Perspectives

Our approach is an attractive tool in machinery condition monitoring.

Prof. Jie Zhang
Southwest Jiaotong University

Read the Original

This page is a summary of: A new method for blind separation of nonstationary sources, Journal of Vibration and Control, October 2014, SAGE Publications,
DOI: 10.1177/1077546314555746.
You can read the full text:

Read

Contributors

The following have contributed to this page