Automatic Background Removal and Correction of Systematic Error Caused by Noise Expecting Bio-Raman Big Data Analysis

DOI PDF Web Site Web Site Web Site ほか1件をすべて表示 一部だけ表示 被引用文献1件 参考文献12件

この論文をさがす

説明

<p>Spectral pretreatments, such as background removal from Raman big data, are crucial to have a smooth link to advanced spectral analysis. Recently, we developed an automated background removal method, where we considered the shortest length of a spectrum by changing the scaling factor of the background spectrum. Here, we propose a practical way to correct the systematic error caused by noise from measurements. This correction has been realized to be more effective and accurate for automatic background removal.</p>

収録刊行物

  • Analytical Sciences

    Analytical Sciences 36 (5), 511-514, 2020-05-10

    社団法人 日本分析化学会

被引用文献 (1)*注記

もっと見る

参考文献 (12)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ