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The use of deconvolution and iterative optimization for spectrogram interpretation

机译:去卷积和迭代优化在频谱图解释中的使用

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摘要

The problem of spectrogram interpretation is considered under the assumption that the parameters of spectral peaks-their positions and magnitudes-contain the information essential for spectrometric analysis. The subsequent use of Tikhonov deconvolution and iterative correction of the estimates of those parameters is proposed. Deconvolution is used for transforming the processed spectrogram in such a way as to facilitate finding initial estimates of its parameters. The advantages of the proposed approach, i.e., gains in accuracy of estimating the parameters of peaks, are demonstrated using both synthetic and real-world spectrophotometric data.
机译:在以下假设下考虑频谱图解释问题:频谱​​峰的参数(其位置和幅度)包含光谱分析必不可少的信息。提出了Tikhonov反卷积的后续使用以及这些参数的估计值的迭代校正。解卷积用于以某种方式转换处理后的频谱图,以便于找到其参数的初始估计。使用合成的和实际的分光光度数据都证明了所提出方法的优点,即在估计峰参数方面的准确性方面的提高。

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