Abstract
Errors in nonlinear lightwave systems are often associated with rare, noise-induced, large deviations of the signal. We present a method to determine the most probable manner in which such rare events occur by solving a sequence of constrained optimization problems. These results then guide importance-sampled Monte Carlo simulations to determine the events' probabilities. The method applies to a general class of intensity-based optical detectors and to arbitrarily shaped and multiple pulses.
Original language | English (US) |
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Pages (from-to) | 159-173 |
Number of pages | 15 |
Journal | Studies in Applied Mathematics |
Volume | 137 |
Issue number | 2 |
DOIs | |
State | Published - Aug 1 2016 |
Funding
This work was supported by National Science Foundation grants DMS‐0709070 and DMS‐1211912.
ASJC Scopus subject areas
- Applied Mathematics