Journal
ANALYST
Volume 143, Issue 11, Pages 2656-2664Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/c7an01941f
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Funding
- National Natural Science Foundation of China [61201081]
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An algorithm for signal extraction from a contaminated and distorted spectrum is proposed. First, this algorithm combines the salient space of the spectrum and the statistical characteristics of the noise to detect signal regions at different scales. Second, it extracts signals by subtracting the baseline from the spectrum in the signal regions. The baseline is fitted by segmented polynomial functions. This algorithm has been applied to simulated and experimental data, and the results show that this algorithm can accurately and automatically extract signals with varying widths from a contaminated spectrum. This method minimizes the influence of baseline distortion and exhibits good anti-noise capability and high real-time performance.
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