Abstract
The beginning of this chapter sets out our main objective and how we intend to achieve it. As the title indicates, the content is concerned with parameter estimation in the time domain. Literally this is correct, but the term Time Domain is to be interpreted as Measurement Domain. Since in-vivo NMR measurements take place in the time domain, these two terms imply the same thing in practice. However, the intended interpretation should be kept in mind.
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Abbreviations
- BCF:
-
Baseline Cosine Fitting
- CLEAN:
-
Deconvolution method
- CR:
-
Cramér-Rao (lower bounds)
- ESPRIT:
-
Estimation of Signal Parameters via Rotational Invariance Techniques (related to HSVD)
- HSVD:
-
Hankel Singular Value Decomposition (State Space)
- LP:
-
Linear Prediction
- LPSVD:
-
Linear Prediction and Singular Value Decomposition
- LP/VARPRO:
-
Linear-Prediction and VARiable PROjection (Evans-Fischl)
- LS:
-
Least Squares
- MEM:
-
Maximum Entropy Method
- MLE:
-
Maximum Likelihood Estimation
- SVD:
-
Singular Value Decomposition
- TLS:
-
Total Least Squares
- VARPRO:
-
VARiable PROjection
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de Beer, R., van Ormondt, D. (1992). Analysis of NMR Data Using Time Domain Fitting Procedures. In: Rudin, M. (eds) In-Vivo Magnetic Resonance Spectroscopy I: Probeheads and Radiofrequency Pulses Spectrum Analysis. NMR, vol 26. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45697-8_7
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DOI: https://doi.org/10.1007/978-3-642-45697-8_7
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