| Resolution Enhancement in Mass Spectrometry by Autoregressive Deconvolution |
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*a) JEOL Ltd. (3-1-2 Musashino, Akishima, Tokyo 196-8558, Japan) b) Department of Physics, Graduate School of Science, Osaka University (1-16 Machikaneyama, Toyonaka, Osaka 560-0043, Japan) c) Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology (2-24-16 Naka-cho, Koganei, Tokyo 184-8588, Japan) |
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| A numerical spectral-deconvolution method with an autoregressive (AR) model is proposed to overcome a noise problem that limits resolution-enhancement ability of a traditional Fourier-transform (FT) deconvolution. The optimal AR-model is determined by a new criterion that uses similarity between measured and reconstructed spectra. Additionally, unreliable peak-heights appearing in an AR power-spectrum are corrected by using its convolution with a Gaussian function with a small width. The proposed method was applied to noisy and low-resolution spectra of a bio-molecule, and found to be useful for determination of its monoisotopic mass. | ||
| Key words: Resolution enhancement, Spectral deconvolution, Autoregressive model | ||
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