Fast multi-dimensional NMR acquisition and processing using the sparse FFT
Name
SFFT_NMR_Paper_Rev_v6.pdf
Size
932.74 KB
Format
Adobe PDF
Checksum (MD5)
b42b84f57d3a10aaff2c473ba9ce7f51
Author(s)
Hassanieh, Haitham
Mayzel, Maxim
Shi, Lixin
Katabi, Dina
Orekhov, Vadislav Yu
Date Issued
June 2015
Journal
Journal of Biomolecular NMR
Publisher
Springer-Verlag
Citation
Hassanieh, Haitham, Maxim Mayzel, Lixin Shi, Dina Katabi, and Vladislav Yu Orekhov. “Fast Multi-Dimensional NMR Acquisition and Processing Using the Sparse FFT.” Journal of Biomolecular NMR 63, no. 1 (September 2015): 9–19.
Version
Author's final manuscript
Abstract
Increasing the dimensionality of NMR experiments strongly enhances the spectral resolution and provides invaluable direct information about atomic interactions. However, the price tag is high: long measurement times and heavy requirements on the computation power and data storage. We introduce sparse fast Fourier transform as a new method of NMR signal collection and processing, which is capable of reconstructing high quality spectra of large size and dimensionality with short measurement times, faster computations than the fast Fourier transform, and minimal storage for processing and handling of sparse spectra. The new algorithm is described and demonstrated for a 4D BEST-HNCOCA spectrum.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s10858-015-9952-5
