SIFT, a Postprocessing Method That Increases the Signal-to-Noise Ratio of Spectra Which Vary in Time
✍ Scribed by M. Doyle; B.L.W. Chapman; J.A. Balschi; G.M. Pohost
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 494 KB
- Volume
- 103
- Category
- Article
- ISSN
- 1064-1866
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✦ Synopsis
We introduce a data-processing method, SIFT, spectral (i) provement by Fourier thresholding, to improve the signal-tonoise ratio (SNR) of a set of time-resolved spectra. Noise reduction is accomplished by Fourier transforming a set of spectra along the temporal (as opposed to the spectral) axis, performing a thresholding operation, and, finally, inverse Fourier transforming the thresholded data. SIFT processing is demonstrated using a set of computer-generated spectra. Additionally, SIFT processing is employed to improve the SNR of a set of in vivo phosphorus spectra. o 1994 Academic Press. Inc.