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:
https://www.hindawi.com/journals/sv/2019/1637163/
Zitieren als
YuGang (2024). A novel BSS (https://www.mathworks.com/matlabcentral/fileexchange/50867-a-novel-bss), MATLAB Central File Exchange. Abgerufen.
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YGBSS
Version | Veröffentlicht | Versionshinweise | |
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1.0.2 | paper |
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1.0.1 | 1.1 |
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1.0.0.0 | A little update. |