Proceedings Paper
Laser characterization with advanced digital signal processing| Format | Member Price | Non-Member Price |
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Paper Abstract
The use of machine learning techniques to characterize lasers with low output power is reviewed. Optimized phase
tracking algorithms that can produce accurate noise spectra are discussed, and a method for inferring the amplitude noise
spectrum and rate equation model of the laser under test is presented.
Paper Details
Date Published: 7 February 2015
PDF: 8 pages
Proc. SPIE 9388, Optical Metro Networks and Short-Haul Systems VII, 938809 (7 February 2015); doi: 10.1117/12.2078335
Published in SPIE Proceedings Vol. 9388:
Optical Metro Networks and Short-Haul Systems VII
Atul K. Srivastava; Benjamin B. Dingel; Achyut K. Dutta, Editor(s)
PDF: 8 pages
Proc. SPIE 9388, Optical Metro Networks and Short-Haul Systems VII, 938809 (7 February 2015); doi: 10.1117/12.2078335
Show Author Affiliations
Molly Piels, Technical Univ. of Denmark (Denmark)
Idelfonso Tafur Monroy, Technical Univ. of Denmark (Denmark)
Idelfonso Tafur Monroy, Technical Univ. of Denmark (Denmark)
Darko Zibar, Technical Univ. of Denmark (Denmark)
Published in SPIE Proceedings Vol. 9388:
Optical Metro Networks and Short-Haul Systems VII
Atul K. Srivastava; Benjamin B. Dingel; Achyut K. Dutta, Editor(s)
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