Computational adaptive sampling for multiheterodyne spectroscopy

Lukasz A. Sterczewski, Jonas Westberg, Link Patrick, Gerard Wysocki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We present a fast computational technique based on digital filtering, mixing, and linear resampling to enable high resolution multiheterodyne spectroscopy in any dual-comb system affected by frequency instabilities of the laser sources.

Original languageEnglish (US)
Title of host publication2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
ISBN (Electronic)9781943580279
DOIs
StatePublished - Oct 25 2017
Event2017 Conference on Lasers and Electro-Optics, CLEO 2017 - San Jose, United States
Duration: May 14 2017May 19 2017

Publication series

Name2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings
Volume2017-January

Other

Other2017 Conference on Lasers and Electro-Optics, CLEO 2017
CountryUnited States
CitySan Jose
Period5/14/175/19/17

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Instrumentation

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    Sterczewski, L. A., Westberg, J., Patrick, L., & Wysocki, G. (2017). Computational adaptive sampling for multiheterodyne spectroscopy. In 2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings (pp. 1-2). (2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1364/CLEO_AT.2017.JW2A.80