相关实验视频

Updated: Jun 4, 2025

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

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主-奴隶合方案用于同步和参数估计在一般化Kuramoto-Sivashinsky方程中.

Joaquín Miguez1, Harold Molina-Bulla2, Inés P Mariño3

  • 1Department of Signal Theory and Communications, <a href="https://ror.org/03ths8210">Universidad Carlos III de Madrid</a>, Avenida de la Universidad 30, 28911 Leganés (Madrid), Spain and Instituto de Investigación Sanitaria Gregorio Marañón, Calle Doctor Esquerdo 46, 28007 Madrid, Spain.

Physical review. E
|December 18, 2024
PubMed
概括

本研究介绍了一种快速的在线参数估计方法,用于使用同步的Kuramoto-Sivashinsky (KS) 方程. 这种新的方法对噪声和初始化错误具有稳定性,性能优于昂贵的统计技术.

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