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Thesis

Nuclear magnetic resonance data processing methods

Abstract:

This thesis describes the application of a wide variety of data processing methods, in particular the Maximum Entropy Method (MEM), to data from Nuclear Magnetic Resonance (NMR) experiments. Chapter 1 provides a brief introduction to NMR and to data processing, which is developed in chapter 2. NMR is described in terms of the classical model due to Bloch, and the principles of conventional (Fourier transform) data processing developed. This is followed by a description of less conventional te...

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Institution:
University of Oxford
Oxford college:
St John's College
Department:
Mathematical,Physical & Life Sciences Division - Chemistry - Physical and Theoretical Chemistry Laboratory

Contributors

Role:
Supervisor
Publication date:
1992
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
URN:
uuid:7df97c9a-4e65-4c10-83eb-dfaccfdccefe
Local pid:
ora:2894

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