Accelerated multiple-pass moving average: a novel algorithm for baseline estimation in CE and its application to baseline correction on real-time bases.

Accelerated multiple-pass moving average: a novel algorithm for baseline estimation in CE and its application to baseline correction on real-time bases.
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加速多通道移动平均:CE 中基线估计的一种新算法及其在实时基线校正中的应用。

DOI:
10.1002/elps.200600538
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发表时间:
2007
期刊:
影响因子:
2.9
通讯作者:
Sojo,Pedro
Sojo,Pedro
中科院分区:
生物学3区
文献类型:
--
作者:
Solis,Alejandro;Rex,Mathew;Campiglia,AndresD;Sojo,Pedro

文献摘要

相似文献

We present a novel algorithm for baseline estimation in CE. The new algorithm which we have named as accelerated multiple‐pass moving average (AMPMA) is combined to three preexisting low‐pass filters, spike‐removal, moving average, and multi‐pass moving average filter, to achieve real‐time baseline correction with commercial instrumentation. The successful performance of AMPMA is demonstrated with simulated and experimental data. Straightforward comparison of experimental data clearly shows the improvement AMPMA provides to the linear fitting, LOD, and accuracy (absolute error) of CE analysis.