Preface. General Theory of Signal Analysis in NMR. 1. Fourier transforms and signal manipulation (L.J. Eveleigh). 2. Maximum entropy methods in NMR data processing (K.M. Wright). 3. Analysis of NMR relaxation data (K.P. Whittall). 4. Nonlinear regression (R.S. Cármenes). 5. The Padé-Laplace analysis of NMR signals (J. Aubard, P. Lavoir). 6. Digital filtering (K.J. Cross). 7. Binomial filters (É. Kupče). 8. Linear prediction-singular value decomposition in NMR signal analysis (M. Lupu, D. Todor). Applications in the Time-Domain. 9. A Windows program for relaxation parameter estimation (D.N. Rutledge). 10. Continuous relaxation time distribution decomposition by MEM (F. Mariette, J-P. Guillement, C. Tellier, P. Marchal). 11. Examples of the use of Padé-Laplace in NMR (D. Le Botlan). 12. Analysis and interpretation of NMR water relaxation and diffusion data (B.P. Hills). 13. Scattering wavevector analysis of pulsed gradient spin echo data (A. Coy, P.T. Callaghan). Applications in the Frequency-Domain. 14. Accuracy and precision of intensity determinations in quantitative NMR (J.-P. Grivet). 15. Least squares estimation of parameters affecting lineshapes in multi-site chemical exchange (G. Crisponi). 16. Reference deconvolution in NMR (G.A. Morris). 17. Continuous wave and rapid scan correlation NMR (P.S. Belton). 18. Data processing in high-resolution multidimensional NMR (M.A. Delsuc). 19. Neural networks for 2D NMR spectroscopy (S.A. Corne). 20. Analysis of nuclear magnetic resonance spectra of mixtures using multivariate techniques (T. Brekke, O.M. Kvalheim). Applications in the Spatial-Domain. 21. Quantitative magnetic resonance imaging: applications and estimation of errors (S.J. Doran). 22. Stochastic spectroscopic imaging (H. Nilgens, B. Blümich). 23. Applications of multivariate data analysis techniques to NMR imaging (H. Grahn, P. Galadi). Acronyms. Index.
