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多线光谱的参数分组约束最小二乘拟合
The Least-square Fitting of Multiple-lines Spectra with Parameter Constrained Optimization by Group
【摘要】 本文在非线性最小二乘拟合中提出了参数分组约束代化方法,并以水汽的双线光声光谱分析为例显示了该方法的高效可靠性.
【Abstract】 The method of parameter constrained optidrization by group was presented in the nonlinear least square fitting. Moreover, its superiority of fast convergence and high reliability was demonstrated in the analyzing of the double-line photoacoustic spectra of water vapor.
【关键词】 参数分组约束优化;
非线性最小二乘拟合;
光谱分析;
光声光谱;
【Key words】 parameter constrained optimization by group; nonlinear least-square fitting; spectral analysis; photoacoustic spectra;
【Key words】 parameter constrained optimization by group; nonlinear least-square fitting; spectral analysis; photoacoustic spectra;
【基金】 国家自然科学基金
- 【文献出处】 量子电子学报 ,CHINESE JOURNAL OF QUANTUM ELECTRONICS , 编辑部邮箱 ,1999年05期
- 【分类号】O433.4
- 【被引频次】3
- 【下载频次】61