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.
|Title of host publication||Proceedings of the SPIE|
|Number of pages||8|
|Publisher||SPIE - International Society for Optical Engineering|
|Publication status||Published - 2015|
|Event||SPIE Photonics West 2015: Optical Metro Networks and Short-Haul Systems VII - The Moscone Center, San Francisco, United States|
Duration: 7 Feb 2015 → 12 Feb 2015
Conference number: 9388
|Conference||SPIE Photonics West 2015: Optical Metro Networks and Short-Haul Systems VII|
|Location||The Moscone Center|
|Period||07/02/2015 → 12/02/2015|
|Series||Proceedings of SPIE, the International Society for Optical Engineering|
Bibliographical noteCopyright 2015 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
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- Digital signal processing