A Super-Resolution Parameter Estimation Algorithm for Multi- Dimensional NMR Spectroscopy

Loading...
Thumbnail Image

Files

TR_95-43.pdf (651.21 KB)
No. of downloads: 479

Publication or External Link

Date

1995

Advisor

Citation

DRUM DOI

Abstract

In this paper, we will propose a super-resolution scheme for the parameter estimation of multi-dimensional (M-D) NMR spectroscopy. M-D NMR signals can be modeled as the summation of M-D damped sinusoids. The frequencies and the damping factors of M-D damped sinusoids play important roles in protein structure determination using M-D NMR spectroscopy. We will develop a super-resolution frequency and damping factor estimation algorithm-damped MUSIC (DMUSIC) algorithm. Since the DMUSIC algorithm makes full use of the rank-deficiency and the Hankel property of the data matrix composed of the M-D NMR data, compared with other NMR data analysis algorithms, it can resolve the spectrum using very few data points. The performance of the DMUSIC algorithm is demonstrated by computer simulations.

Notes

Rights