A novel BSS

Version 1.0.2 (217 KB) by YuGang
blind source separation;modal identification.
Updated 12 Oct 2019

View License

A novel blind source separation method is proposed.
In the practical engineering, when we record the vibration signals, the time-delay between sensors cannot be avoided. Therefore, we want to develop an effective under-determined BSS method, which can separate the sources in delay mixture. However, SCA, as an effective under-determined BSS method, is restricted to tackle this type of signal. This is the motivation of YGBSS.
The submitted paper just illustrates the effectiveness of YGBSS in structural dynamic. Acctually, it can be used in other fields, such as fault diagnosis, damage monitoring .etc. The cluster feature of frequency energy data is an interesting feature, which have many uses.

Paper title:
An Underdetermined Blind Source Separation Method with Application to Modal Identification

Paper Website:

Cite As

YuGang (2024). A novel BSS (https://www.mathworks.com/matlabcentral/fileexchange/50867-a-novel-bss), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Find more on Linear Model Identification in Help Center and MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes




A little update.