<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Blind signal extraction is particularly attractive to solve signal mixture problems while only one or a few source signals are desired. Many desired biomedical signals exhibit distinct periods. A sequential method based on second order statistics is introduced in this paper. One can choose to recover one source signal or all signals in a specific order. The validity and performance of the proposed method are confirmed by computer simulations.</p>
</abstract>

Blind signal extraction is particularly attractive to solve signal mixture problems while only one or a few source signals are desired. Many desired biomedical signals exhibit distinct periods. A sequential method based on second order statistics is introduced in this paper. One can choose to recover one source signal or all signals in a specific order. The validity and performance of the proposed method are confirmed by computer simulations.

Separating Signals with Specific Temporal Structure

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Separating Signals with Specific Temporal Structure"}

Blind signal extraction is particularly attractive to solve signal mixture problems while only one or a few source signals are desired. Many desired biomedical...

Separating Signals with Specific Temporal Structure

Pubblicato online: 09 apr 2018

Pagine: 61 - 65

DOI: https://doi.org/10.21307/iccnea.2017.93

Parole chiave
Component, Period, Order, Mixture, Extraction, Simulation

© 2017 Yongjian Zhao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Separating Signals with Specific Temporal Structure

Pubblicato online: 09 apr 2018

Pagine: 61 - 65

DOI: https://doi.org/10.21307/iccnea.2017.93

Parole chiaveComponent, Period, Order, Mixture, Extraction, Simulation

© 2017 Yongjian Zhao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Component, Period, Order, Mixture, Extraction, Simulation