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IMPROVED DETECTION LIMITS IN FOURIER TRANSFORM SPECTROSCOPY FROM A MAXIMUM ENTROPY APPROACH TO BASELINE ESTIMATION

机译:从最大熵方法到基线估计,改进的傅里叶变换光谱检测极限

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摘要

A new method for baseline estimation and correction in gas phase Fourier transform (FT) absorption spectra based on a maximum entropy approach is described. In this novel method, a smoothly varying baseline function is determined directly from the observed spectra by separating baseline and signal information on the basis of line width, Baselines of arbitrary complexity may be determined provided there is a difference of at least a factor of 5 in line width between the signal and baseline features and there are no discontinuities in the baseline, As baseline drift is often much larger than the noise in FT spectroscopy, significantly improved detection limits are obtained using this method for the quantitative analysis of trace gases, Even in the absence of baseline drift, the use of an accurate noise-free baseline function will always lead to some improvement in the detection limits, The quantitative results are shown to be insensitive to input parameters over a wide range.
机译:描述了一种基于最大熵方法的气相傅里叶变换(FT)吸收光谱基线估计和校正的新方法。在这种新颖的方法中,通过基于线宽分离基线和信号信息,直接从观察到的光谱中确定平稳变化的基线函数。只要存在至少5倍的差异,就可以确定任意复杂度的基线信号和基线特征之间的线宽,并且基线中没有不连续性,因为基线漂移通常比FT光谱中的噪声大得多,因此使用此方法进行痕量气体的定量分析可显着提高检测限,即使在在没有基线漂移的情况下,使用精确的无噪声基线功能将始终导致检测限的改善。定量结果表明,对大范围的输入参数不敏感。

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