@inproceedings{3370e66a7be2432ab2684fc8708d427a,
title = "Astronomical spectral lines auto-extraction based on framelet transform",
abstract = "The important astrophysical information is hidden in spectral lines of astronomical spectra. This paper presents a method in detail extraction of spectral lines and splitting. The method consists of four main steps: First, fitting the continuum of the observed spectra by a combined method of framelet transform and spline fitting. After removing the continuum, the spectral signal is transformed by framelet with 4 (th) scale. Then, estimate the noise with high frequency coefficients; the noise with coefficients of the 4 (th) scale is eliminated by soft thresholding. At last, extract the spectral lines. Experimental results show that the algorithm can improve the fitting accuracy and extract spectral lines effectively.",
keywords = "Astronomical spectra, Continuum fitting, Denoising, Framelet transform, Spectral line extraction",
author = "Haihui Wang and Shuang Li and Luo, \{A. Li\}",
year = "2010",
doi = "10.1109/CISP.2010.5646929",
language = "英语",
isbn = "9781424465149",
series = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",
pages = "1045--1048",
booktitle = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",
note = "2010 3rd International Congress on Image and Signal Processing, CISP 2010 ; Conference date: 16-10-2010 Through 18-10-2010",
}