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Updated: Jun 25, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
Published on: August 19, 2021
[Comparison of two methods to solve AR model parameters of line shape optimized maximum entropy spectral estimation]
1State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China. gaoxf10@126.com
Abstract:
Line shape optimized maximum entropy spectral estimation (LOMEE) is to remove the influence resulting from line shape by Fourier self-deconvolution and to model interferogram data in order to substitute AR model parameters for the spectral estimator. The proper calculation of AR model parameters in LOMEE is very important to the quality of recovered spectrum. Modified covariance method (MCOV) and Burg method were used to solve AR model parameters under different noise level. The simulation results of recovered spectrum were acquired with the two methods. The influences of AR order and signal-to-noise ratio on the simulation were compared. It is shown that MCOV is more excellent than Burg in LOMEE.
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