用Gabor小波提取小信号信息  

EXTRACTION OF SMALL SIGNALS’ INFORMATION BY MEANS OF GABOR WAVELETS

作　　者：吴昌琳[1] 黄永仁[1] 

机构地区：[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

出　　处：《波谱学杂志》2002年第1期69-76,共8页Chinese Journal of Magnetic Resonance

基　　金：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“显微持性”，可以获得重叠在高宽峰上小信号的详细信息．The signal processing with Gabor wavelets is improved in this paper. When a sig- nal with single frequency is selected, the interferences in both time and frequency domains must be suppressed to minimum. Under these restraints, parameters of the selected signals are optimized. Moreover, it must be sure every time that the selected peaks are the strongest one in the difference spectrum. After all FID with single frequency are taken out from the o- riginal FID, some huge and wide peaks are given up for the other treatments. The remaining small peaks are reconstructed. For liquid samples, the traditional Lorentzian function can be used generally. Here, a modified Lorentzian function is given and the projections of all se- lected signals are used for construction of a so called 'projection spectrum', or only two pa- rameters (amplitude and frequency) are used to construct a 'lines spectrum'. It is proved by simulation and experimental data processing that the detail information of small signals cov- ered in a huge peak can be exposed by means of the so called 'microscope property' of wavelets.

关 键 词：GABOR小波 小信号提取 核磁共振 参数优化 信号分析 

分 类 号：TN911.6[电子电信—通信与信息系统] O482.532[电子电信—信息与通信工程]