波谱学杂志

• 研究论文 • 上一篇    下一篇

用Gabor小波提取小信号信息

吴昌琳,黄永仁   

  1. 华东师范大学物理系 教育部光学与波谱学重点实验室, 上海 200062
  • 收稿日期:2001-09-21 修回日期:2001-11-15 出版日期:2002-03-05 发布日期:2002-03-05
  • 作者简介:吴昌琳(1965-),女,在职博士生
  • 基金资助:

    国家自然科学基金项目(19875017). 

EXTRACTION OF SMALL SIGNALS'INFORMATION BY MEANS OF GABOR WAVELETS

吴昌琳,黄永仁   

  1. Key Laboratory of Optical and Magnetic Resonance Spectroscopy for Eduction Min istry, Physics Department of East China Normal University, Shanghai 200062, China
  • Received:2001-09-21 Revised:2001-11-15 Online:2002-03-05 Published:2002-03-05
  • Supported by:

    国家自然科学基金项目(19875017). 

摘要:

改进了原来的小波信号分析方法. 通过模拟和对实验数据分析证明:抑制干扰 和优化处理后利用小波的“显微特性”,可以获得重叠在高宽峰上小信号的详细信息.

关键词: Gabor小波, 小信号提取, 核磁共振, 参数优化

Abstract:

The signal processing with Gabor wavelets is improved in this paper. When a s ignal with single frequency is selected, the interferences in both time and freq uency domains must be suppressed to minimum. Under these restraints, parameters  of the selected signals are optimized.  Moreover, it must be sure every time th at  the selected peaks are the strongest one in the difference spectrum. After all F ID with single frequency are taken out from the original FID, some huge and wide  peaks are given up for the other treatments. The remaining small peaks are reco nstructed. For liquid samples, the traditional Lorentzian function can be used g ene rally. Here, a modified Lorentzian function is given and the projections of all  sel ected signals are used for construction of a so called `projection spectrum',   or only two parameters (amplitude and frequency) are used to construct  a `lines spectrum'. It is proved by simulation and experimental data processing th at the detail information of small signals covered in a huge peak can be exposed  by means of the so called `microscope property' of  wavelets.

Key words: gabor wavelets, extraction of small signals, NMR, parameters optimization

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