Artículos de revistas
Suppression of spectral anomalies in SSFP-NMR signal by the Krylov basis diagonalization method
Fecha
2014-06Registro en:
Journal of Magnetic Resonance, Amsterdam : Elsevier, v. 243, p. 74-80, June 2014
1090-7807
10.1016/j.jmr.2014.03.009
Autor
Moraes, Tiago Bueno
Santos, Poliana Macedo
Magon, Claudio Jose
Colnago, Luiz Alberto
Institución
Resumen
Krylov Basis Diagonalization Method (KBDM) is a numerical procedure used to fit time domain signals as a sum of exponentially damped sinusoids. In this work KBDM is used as an alternative spectral analysis tool, complimentary to Fourier transform. We report results obtained from 13C Nuclear Magnetic Resonance (NMR) by Steady State Free Precession (SSFP) measurements in brucine, C23H26N2O4. Results lead to the conclusion that the KBDM can be successfully applied, mainly because it is not influenced by truncation or phase anomalies, as observed in the Fourier transform spectra.