Determining a bandpass filter for interfering fringe spectrum extraction using clustering analysis
Determining a bandpass filter for interfering fringe spectrum extraction using clustering analysis
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DOI：
10.1117/1.oe.60.3.034105
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发表时间：
2021-03
影响因子：
1.3
通讯作者：
D. Wei;Yusuke Nagata;Motohisa Sano;M. Aketagawa
中科院分区：
文献类型：
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作者：
D. Wei;Yusuke Nagata;Motohisa Sano;M. Aketagawa
摘要。我们提出了一种聚类分析方法，解决了在垂直扫描宽带干涉测量中分析干涉包络峰位置时的带通滤波器（BPF）检测问题。我们的方法利用了由宽带光源形成的条纹信号是确定性条纹信号和噪声的叠加这一事实。因此，可以提前指定两个聚类用于k-means聚类分析。我们描述了我们的测量过程及其发展，使用基于干涉条纹组成特征的基于双均值方法的频谱选择方案。在飞秒光学频率梳干涉测量的框架内详细介绍了我们的方法。我们的实验结果表明，所提出的算法优于传统的启发式阈值的BPF估计包络峰值确定。
Abstract. We propose a clustering-analysis approach that addresses the bandpass filter (BPF) detection problem in the analysis of the peak position of the interference envelope in vertical-scanning wideband interferometry. Our approach exploits the fact that the fringe signal formed by a wideband light source is a superposition of deterministic fringe signals and noise. Consequently, two clusters can be specified in advance for use in the k-means clustering analysis. We describe our measurement procedure and its development using a two-means method-based spectrum selection scheme based on the constituent characteristics of interference fringes. The details of our approach are introduced within the framework of femtosecond optical frequency comb-based interferometry. Our experimental results demonstrate the superiority of the proposed algorithm over the conventional heuristic threshold-based BPF estimation for envelope peak determination.