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．
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.
出处
《量子电子学报》
CAS
CSCD
1999年第5期433-437,共5页
Chinese Journal of Quantum Electronics
基金
国家自然科学基金
关键词
最小二乘拟合
光谱分析
大气分子
大气光学
parameter constrained optimization by group
nonlinear least-square fitting
spectral analysis
photoacoustic spectra
