Journal article
Accelerating two-dimensional infrared spectroscopy while preserving lineshapes using GIRAF
Optics letters, Vol.42(22), pp.4573-4576
2017
DOI: 10.1364/OL.42.004573
PMID: 29140315
Abstract
We introduce a computationally efficient structured low-rank algorithm for the reconstruction of two-dimensional infrared (2D IR) spectroscopic data from few measurements. The signal is modeled as a combination of exponential lineshapes that are annihilated by appropriately chosen filters. The annihilation relations result in a low-rank constraint on a Toeplitz matrix constructed from signal samples, which is exploited to recover the unknown signal samples. Quantitative and qualitative studies on simulated and experimental data demonstrate that the algorithm outperforms the discrete compressed sensing algorithm, both in uniform and non-uniform sampling settings.
Details
- Title: Subtitle
- Accelerating two-dimensional infrared spectroscopy while preserving lineshapes using GIRAF
- Creators
- Ipshita BhattacharyaMathews JacobJonathan J HumstonChristopher M Cheatum
- Resource Type
- Journal article
- Publication Details
- Optics letters, Vol.42(22), pp.4573-4576
- DOI
- 10.1364/OL.42.004573
- PMID
- 29140315
- NLM abbreviation
- Opt Lett
- ISSN
- 1539-4794
- eISSN
- 1539-4794
- Grant note
- DOI: 10.13039/100000002, name: National Institutes of Health (NIH), award: 1R01EB019961-01A1; DOI: 10.13039/100000006, name: Office of Naval Research (ONR), award: N00014-13-1-0202; DOI: 10.13039/100000001, name: National Science Foundation (NSF), award: CHE-1361765
- Language
- English
- Date published
- 2017
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Core Research Facilities; Iowa Neuroscience Institute; Radiation Oncology; Chemistry
- Record Identifier
- 9983985974302771
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