Curve Resolution of Highly-Overlapping Lorentzian Peaks Based on the Autoregressive Model.
Tetsuo Iwata, Jun Koshoubu · Journal of the Spectroscopical Society of Japan · 1995
We propose a method for separating Lorentzian peaks highly overlapped.The method is based upon the application of the autoregressive model to Fourier-transformed data of the overlapping peaks; which enables us to derive values of Lorentzian parameters such as individual positions, widths, and heights of the peaks at a time.If necessary, we can adopt those values as initial estimates in the conventional curve-fitting procedure.Results of analyses for computer-simulated and real spectral data are shown in order to demonstrate the effectiveness of the proposed method.