Title :
Parametric estimation of NMR spectroscopy using matrix pencil
Author :
Razavilar, Javad ; Li, Y. ; Liu, K. J Ray
Author_Institution :
Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
Abstract :
To determine protein structure by means of NMR spectroscopy, the parameters of NMR spectroscopy have to be estimated. This paper proposes a novel parameter estimation algorithm for NMR spectroscopy. The new algorithm is based on the matrix pencil consisting of the NMR data. Compared with the Kumaresan-Tufts (KT) algorithm, the new algorithm improves the noise threshold by about 6 dB. Its effectiveness is demonstrated by computer simulation
Keywords :
biological NMR; biology computing; matrix algebra; parameter estimation; proteins; NMR data; NMR spectroscopy; computer simulation; matrix pencil; noise threshold; parameter estimation algorithm; parametric estimation; protein structure; Computer simulation; Damping; Discrete Fourier transforms; Frequency estimation; Java; Mathematical model; Nuclear magnetic resonance; Parameter estimation; Signal resolution; Spectroscopy;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575216
