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arXiv · 1006.2553

Compressive Fourier Transform Spectroscopy

Ori Katz·Jonathan M. Levitt·Yaron Silberberg
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Abstract

We describe an approach based on compressive-sampling which allows for a considerable reduction in the acquisition time in Fourier-transform spectroscopy. In this approach, an N-point Fourier spectrum is resolved from much less than N time-domain measurements using a compressive-sensing reconstruction algorithm. We demonstrate the technique by resolving sparse vibrational spectra using <25% of the Nyquist rate samples in single-pulse CARS experiments. The method requires no modifications to the experimental setup and can be directly applied to any Fourier-transform spectroscopy measurement, in particular multidimensional spectroscopy.

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Ori Katz, Jonathan M. Levitt, Yaron Silberberg. 2010-06-13. Compressive Fourier Transform Spectroscopy. https://arxiv.org/abs/1006.2553

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