Abstract
Powerful statistical signal processing methods, used by the machine learning community, are addressed and linked to current problems in coherent optical communication. Bayesian filtering methods are presented and applied for nonlinear dynamic state tracking. © 2014 OSA.
| Original language | English |
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| Title of host publication | Proceedings of Signal Processing in Photonic Communications |
| Publisher | Optical Society of America (OSA) |
| Publication date | 2014 |
| ISBN (Print) | 9781557527370 |
| Publication status | Published - 2014 |
| Event | Signal Processing in Photonic Communications 2014 - Hilton San Diego Resort & Spa, San Diego, United States Duration: 13 Jul 2014 → 16 Jul 2014 |
Conference
| Conference | Signal Processing in Photonic Communications 2014 |
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| Location | Hilton San Diego Resort & Spa |
| Country/Territory | United States |
| City | San Diego |
| Period | 13/07/2014 → 16/07/2014 |
Keywords
- Instrumentation
- Atomic and Molecular Physics, and Optics
- Artificial intelligence
- Learning systems
- Optical communication
- Bayesian filtering
- Coherent optical communication systems
- Coherent optical communications
- Current problems
- Dynamic state tracking
- Machine learning communities
- Statistical signal processing
- Signal processing