Computational adaptive sampling for multiheterodyne spectroscopy

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

doi:10.1364/CLEO_AT.2017.JW2A.80

Computational adaptive sampling for multiheterodyne spectroscopy

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 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 language	English (US)
Title of host publication	2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-2
Number of pages	2
ISBN (Electronic)	9781943580279
DOIs	https://doi.org/10.1364/CLEO_AT.2017.JW2A.80
State	Published - Oct 25 2017
Event	2017 Conference on Lasers and Electro-Optics, CLEO 2017 - San Jose, United States Duration: May 14 2017 → May 19 2017

Publication series

Name	2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings
Volume	2017-January

Other

Other	2017 Conference on Lasers and Electro-Optics, CLEO 2017
Country/Territory	United States
City	San Jose
Period	5/14/17 → 5/19/17

All Science Journal Classification (ASJC) codes

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

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10.1364/CLEO_AT.2017.JW2A.80

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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

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title = "Computational adaptive sampling for multiheterodyne spectroscopy",

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.",

author = "Sterczewski, {Lukasz A.} and Jonas Westberg and Link Patrick and Gerard Wysocki",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Conference on Lasers and Electro-Optics, CLEO 2017 ; Conference date: 14-05-2017 Through 19-05-2017",

year = "2017",

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doi = "10.1364/CLEO_AT.2017.JW2A.80",

language = "English (US)",

series = "2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings",

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Sterczewski, LA, Westberg, J, Patrick, L & Wysocki, G 2017, Computational adaptive sampling for multiheterodyne spectroscopy. in 2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings. 2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-2, 2017 Conference on Lasers and Electro-Optics, CLEO 2017, San Jose, United States, 5/14/17. https://doi.org/10.1364/CLEO_AT.2017.JW2A.80

Computational adaptive sampling for multiheterodyne spectroscopy. / Sterczewski, Lukasz A.; Westberg, Jonas; Patrick, Link et al.
2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-2 (2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Computational adaptive sampling for multiheterodyne spectroscopy

AU - Sterczewski, Lukasz A.

AU - Westberg, Jonas

AU - Patrick, Link

AU - Wysocki, Gerard

PY - 2017/10/25

Y1 - 2017/10/25

N2 - 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.

AB - 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.

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U2 - 10.1364/CLEO_AT.2017.JW2A.80

DO - 10.1364/CLEO_AT.2017.JW2A.80

M3 - Conference contribution

AN - SCOPUS:85044303232

T3 - 2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings

SP - 1

EP - 2

BT - 2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 Conference on Lasers and Electro-Optics, CLEO 2017

Y2 - 14 May 2017 through 19 May 2017

ER -

Computational adaptive sampling for multiheterodyne spectroscopy

Abstract

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Other

All Science Journal Classification (ASJC) codes

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