Sensitivity considerations on denoising series of spectra by singular value decomposition
Francesco Bruno1,2, Letizia Fiorucci1,2, Enrico Ravera1,2,3
1CERM and Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, 50019, Italy.
Abstract:
When acquiring series of spectra ( , CP buildup curves, etc.) on samples with poor SNR, we are usually faced with choosing between taking a few points with a large number of scans to maximize the SNR or more points with a smaller number of scans to maximize the information content. In this Letter, we show how low-rank decomposition can be used to denoise a series of spectra, reducing the trade-off between the number of scans and the number of experiments.
Related Concept Videos
Downsampling
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
¹³C NMR: ¹H–¹³C Decoupling
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
¹H NMR: Interpreting Distorted and Overlapping Signals
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)
Upsampling
NMR Spectrometers: Resolution and Error Correction


