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Updated: Jan 11, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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Published on: August 19, 2021

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使用和扩展Lomb-Scargle方法对不均采样数据的多变量频率和幅度估计

Martin Seilmayer1, Thomas Wondrak2, Ferran Garcia3

  • 1Staatliche Studienakademie Bautzen, Duale Hochschule Sachsen, Löbauer Strasse 1, 02625 Bautzen, Germany.

Sensors (Basel, Switzerland)
|November 13, 2025
PubMed
概括

一般化的Lomb-Scargle方法 (LSM) 准确地估计了不规则采样的多变量数据中的频率. 这种强大的技术改进了分析复杂数据集的传统方法,例如太阳活动和超声波测量.

关键词:
多变量数据分析.这是光谱学光谱.不均的抽样采集.

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