波谱学杂志 ›› 1987, Vol. 4 ›› Issue (3): 275-284.

• 研究论文 • 上一篇    下一篇

LS算法在亚毫米波付里时变换谱中的应用

张光昭, 谢泽明, 胡敬炉   

  1. 中山大学 电子系
  • 收稿日期:1986-11-07 修回日期:1987-02-12 出版日期:1987-09-05 发布日期:2018-01-22
  • 基金资助:
    国家自然科学基金资助的课题

LS ALGORITHM FOR THE AR SPECTRAL ESTIMATES OF THE SMMW FOURIER TRANSFORM SPECTROSCOPY DATA

Zhang Guangzhao, Xie Zeming, Hu Jinglu   

  1. Electronics Dept., Zhongshan University
  • Received:1986-11-07 Revised:1987-02-12 Online:1987-09-05 Published:2018-01-22

摘要: 本文介绍自回归谱分析法的另一种算法-前后向最小二乘法(LS算法)在亚毫米波付里叶变换谱中的应用。LS法比最大熵谱法(Burg法)具有更高的分辨率,而且可以避免谱线的分裂和减少谱线的偏移,从而得到更精确的结果。本文还着重讨论了光谱的窗口宽度和噪声对分辨率的影响

关键词: 自回归谱分析, LS算法, 分辨率

Abstract: The least square algorithm using forward and backward linear prediction (LS algorithm)for the autoregressive spectral estimates of the SMMW Fourier transform spectroscopy data is presented. The improvements obtained from the LS algorithm over the maximum entropy algorithm (Burg algorithm) include higher resolution in the spectrum, less bias in the frequency estimate of spectral components, and absence of observed spectral line splitting. The effects of the width of spectral window and the noise on the resolution are discussed.

Key words: Autoregresssive spectral estimates, LS algorithm, Resolution