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A Novel Detection–Estimation Scheme for Noisy NMR Signals: Applications to Delayed Acquisition Data: Volume 128, Number 1 (1997), pages 30–41:

✍ Scribed by Yung-Ya Lin; Paul Hodgkinson; Matthias Ernst; Alexander Pines

Publisher: Elsevier Science
Year: 1998
Tongue: English
Weight: 47 KB
Volume: 132
Category: Article
ISSN: 1090-7807
DOI: 10.1006/jmre.1998.1486

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✦ Synopsis

Equation [15]

should read

The authors thank Dr. David Clayton for bringing the typographical error to our attention.

For very noisy data sets, the LPSVD algorithm may generate fewer signal poles than the prespecified parameter M. Therefore, it is recommended that the fourth and fifth lines from the bottom of p. 40 be replaced by Zϭzeros(N,length(s)); for kϭ1:length(s); Z(:, k)ϭexp(s(k)).^[O:NϪ1].'; end; This correction is Article No. MN981486.

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Many potentially interesting and useful classes of NMR experi-However, the Fourier transform is only strictly applicable to ments generate data for which conventional spectral estimation the limited subset of ''complete '' signals, i.e., t Å 0 to ϱ and quantification via the Fourier transform are un