This title appears in the Scientific Report :
2020
Strategies for noise rejection in PLI data: High-performance implementation of an ICA algorithm for automatic data denoising
Strategies for noise rejection in PLI data: High-performance implementation of an ICA algorithm for automatic data denoising
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Personal Name(s): | Gonzalez Calaza, Carlos Daniel (Corresponding author) |
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Contributing Institute: |
Strukturelle und funktionelle Organisation des Gehirns; INM-1 |
Imprint: |
2018
|
Physical Description: |
66 |
Dissertation Note: |
Masterarbeit, FH Aachen, 2017 |
Document Type: |
Master Thesis |
Research Program: |
Theory, modelling and simulation |
Publikationsportal JuSER |
Description not available. |