Neue G
Physikalische Chemie, Universität Dortmund, Germany. UCH018 at zx2.hrz.uni-dortmund.de
Solid State Nucl Magn Reson. 1996 Jan;5(4):305-314. doi: 10.1016/0926-2040(95)01196-x.
Wavelet transforms considerably simplify the analysis of FIDs influenced by dynamic processes. The projection of data onto an orthonormal set of basis functions which represent well-defined points on a time-frequency plane allows a more natural description of time-dependent frequencies than Fourier transforms. The properties are illustrated by application to simulated NMR signals showing dynamics in the intermediate to slow exchange regime. Construction of highly sophisticated pulse sequences from wavelets is briefly discussed. This very general method will be useful in many areas of magnetic resonance, and theory may benefit as well as imaging.
小波变换极大地简化了对受动态过程影响的自由感应衰减(FID)的分析。将数据投影到一组正交基函数上,这些基函数代表时频平面上定义明确的点,与傅里叶变换相比,能更自然地描述随时间变化的频率。通过应用于模拟的核磁共振(NMR)信号来说明这些特性,这些信号显示了中等到慢交换状态下的动力学。简要讨论了从小波构建高度复杂的脉冲序列。这种非常通用的方法将在磁共振的许多领域中有用,理论和成像都可能从中受益。