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Louis-Joseph Alain

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FT & Statiscals processing of stochastic NMR datas
The Nuclear Magnetic Resonance spectroscopy1 (NMR) is a technique widely used nowadays to determine the structure of biological or organic molecules. The NMR technique usually used is pulse Fourier transform (FTNMR). NMR stochastic2 (STONMR) is an alternative method which may offer advantages in terms of compromise between resolution and sensitivity. It consists in exciting the spin system randomly then processing the data by combining temporal Fourier transforms averaging. To deepen the limits and possibilities of STONMR, we want to model and simulate a spin system subjected to stochastic excitation and perform various treatments (frequency analysis and / or statistical…) on the simulated data. The objective of this work is to develop original ways of STONMR digital data processing for obtaining relevant 1D and 2D NMR spectra.
1) A. Abragam, The Principle of Nuclear Magnetism, Oxford university press, 1982
2) Ernst R. R. and Primas H., Helv. Phys. Acta., vol. 36, 583-600 (1963)