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光谱分辨率增强方法品质因子研究
引用本文:高晓峰,相里斌.光谱分辨率增强方法品质因子研究[J].光子学报,2007,36(6):1133-1137.
作者姓名:高晓峰  相里斌
作者单位:1. 中国科学院西安光学精密机械研究所,西安,710068;中国科学院研究生院,北京,100039
2. 中国科学院西安光学精密机械研究所,西安,710068
摘    要:本文提出了一种新的评估光谱复原结果好坏的品质因子 (quality factor).该品质因子综合考虑到了前向线性预测和后向线性预测.研究了在不同噪音情况下,当采用伯格法(Burg Method)来求解自回归模型系数时,品质因子随模型阶次的变化以及对复原光谱的影响,并且与芬兰学者Kauppinen提出的品质因子在同等条件下作了详尽的比较.研究结果表明,本文提出的品质因子更具有优越性.

关 键 词:品质因子  线性预测  傅里叶退卷积  自回归模型
文章编号:1004-4213(2007)06-1133-5
收稿时间:2005-12-05
修稿时间:2005-12-11

The New Study of Quality Factor in Resolution Enhancement Method
GAO Xiao-feng,XIANG-LI Bin.The New Study of Quality Factor in Resolution Enhancement Method[J].Acta Photonica Sinica,2007,36(6):1133-1137.
Authors:GAO Xiao-feng  XIANG-LI Bin
Abstract:A new quality factor was derived for evaluating the ability of computed AR parameters to extrapolate a given signal in resolution enhancement method based on forward linear prediction and backward linear prediction.When Burg Method were used to solve AR parameters,the change of quality factor resulted from model order and the influence to recovered spectrum were compared with the quality factor derived by professor J.K.Kauppinen.It is shown that the quality factor derived in this paper is more excellent.
Keywords:Quality factor  Linear prediction  Fourier self-deconvolution  Autoregressive model
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