Paper
7 February 2015 Laser characterization with advanced digital signal processing
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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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Molly Piels, Idelfonso Tafur Monroy, and Darko Zibar "Laser characterization with advanced digital signal processing", Proc. SPIE 9388, Optical Metro Networks and Short-Haul Systems VII, 938809 (7 February 2015); https://doi.org/10.1117/12.2078335
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Cited by 1 scholarly publication.
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KEYWORDS
Signal to noise ratio

Fermium

Frequency modulation

Machine learning

Digital signal processing

Error analysis

Particle filters

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