Matches in SemOpenAlex for { <https://semopenalex.org/work/W1966589269> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W1966589269 endingPage "8585" @default.
- W1966589269 startingPage "8585" @default.
- W1966589269 abstract "It has been observed that changes in the birefringence, which are difficult or impossible to directly measure, can significantly affect mode-locking in a fiber laser. In this work we develop techniques to estimate the effective birefringence by comparing a test measurement of a given objective function against a learned library. In particular, a toroidal search algorithm is applied to the laser cavity for various birefringence values by varying the waveplate and polarizer angles at incommensurate angular frequencies, thus producing a time-series of the objective function. The resulting time series, which is converted to a spectrogram and then dimensionally reduced with a singular value decomposition, is then labelled with the corresponding effective birefringence and concatenated into a library of modes. A sparse search algorithm (L(1)-norm optimization) is then applied to a test measurement in order to classify the birefringence of the fiber laser. Simulations show that the sparse search algorithm performs very well in recognizing cavity birefringence even in the presence of noise and/or noisy measurements. Once classified, the wave plates and polarizers can be adjusted using servo-control motors to the optimal positions obtained from the toroidal search. The result is an efficient, self-tuning laser." @default.
- W1966589269 created "2016-06-24" @default.
- W1966589269 creator A5029587656 @default.
- W1966589269 creator A5052353912 @default.
- W1966589269 creator A5083450863 @default.
- W1966589269 date "2014-04-03" @default.
- W1966589269 modified "2023-09-28" @default.
- W1966589269 title "Classification of birefringence in mode-locked fiber lasers using machine learning and sparse representation" @default.
- W1966589269 cites W1964339759 @default.
- W1966589269 cites W1967580992 @default.
- W1966589269 cites W1970311496 @default.
- W1966589269 cites W1972634064 @default.
- W1966589269 cites W1972840592 @default.
- W1966589269 cites W1983182783 @default.
- W1966589269 cites W2003186464 @default.
- W1966589269 cites W2005317720 @default.
- W1966589269 cites W2012213331 @default.
- W1966589269 cites W2017227835 @default.
- W1966589269 cites W2017761965 @default.
- W1966589269 cites W2035873732 @default.
- W1966589269 cites W2039774422 @default.
- W1966589269 cites W2051284293 @default.
- W1966589269 cites W2053144605 @default.
- W1966589269 cites W2062981827 @default.
- W1966589269 cites W2069054569 @default.
- W1966589269 cites W2073929998 @default.
- W1966589269 cites W2087922249 @default.
- W1966589269 cites W2093640092 @default.
- W1966589269 cites W2100167147 @default.
- W1966589269 cites W2124340328 @default.
- W1966589269 cites W2129812935 @default.
- W1966589269 cites W2160230431 @default.
- W1966589269 cites W4254021952 @default.
- W1966589269 doi "https://doi.org/10.1364/oe.22.008585" @default.
- W1966589269 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24718230" @default.
- W1966589269 hasPublicationYear "2014" @default.
- W1966589269 type Work @default.
- W1966589269 sameAs 1966589269 @default.
- W1966589269 citedByCount "55" @default.
- W1966589269 countsByYear W19665892692014 @default.
- W1966589269 countsByYear W19665892692015 @default.
- W1966589269 countsByYear W19665892692016 @default.
- W1966589269 countsByYear W19665892692017 @default.
- W1966589269 countsByYear W19665892692018 @default.
- W1966589269 countsByYear W19665892692019 @default.
- W1966589269 countsByYear W19665892692020 @default.
- W1966589269 countsByYear W19665892692021 @default.
- W1966589269 countsByYear W19665892692022 @default.
- W1966589269 countsByYear W19665892692023 @default.
- W1966589269 crossrefType "journal-article" @default.
- W1966589269 hasAuthorship W1966589269A5029587656 @default.
- W1966589269 hasAuthorship W1966589269A5052353912 @default.
- W1966589269 hasAuthorship W1966589269A5083450863 @default.
- W1966589269 hasBestOaLocation W19665892691 @default.
- W1966589269 hasConcept C120665830 @default.
- W1966589269 hasConcept C121332964 @default.
- W1966589269 hasConcept C121524040 @default.
- W1966589269 hasConcept C125743686 @default.
- W1966589269 hasConcept C17163034 @default.
- W1966589269 hasConcept C192562407 @default.
- W1966589269 hasConcept C41008148 @default.
- W1966589269 hasConcept C520434653 @default.
- W1966589269 hasConceptScore W1966589269C120665830 @default.
- W1966589269 hasConceptScore W1966589269C121332964 @default.
- W1966589269 hasConceptScore W1966589269C121524040 @default.
- W1966589269 hasConceptScore W1966589269C125743686 @default.
- W1966589269 hasConceptScore W1966589269C17163034 @default.
- W1966589269 hasConceptScore W1966589269C192562407 @default.
- W1966589269 hasConceptScore W1966589269C41008148 @default.
- W1966589269 hasConceptScore W1966589269C520434653 @default.
- W1966589269 hasFunder F4320338279 @default.
- W1966589269 hasIssue "7" @default.
- W1966589269 hasLocation W19665892691 @default.
- W1966589269 hasLocation W19665892692 @default.
- W1966589269 hasOpenAccess W1966589269 @default.
- W1966589269 hasPrimaryLocation W19665892691 @default.
- W1966589269 hasRelatedWork W1980528163 @default.
- W1966589269 hasRelatedWork W1999456789 @default.
- W1966589269 hasRelatedWork W2019020745 @default.
- W1966589269 hasRelatedWork W2047543058 @default.
- W1966589269 hasRelatedWork W2079503295 @default.
- W1966589269 hasRelatedWork W2161293139 @default.
- W1966589269 hasRelatedWork W2789708096 @default.
- W1966589269 hasRelatedWork W2888774549 @default.
- W1966589269 hasRelatedWork W3208469457 @default.
- W1966589269 hasRelatedWork W2473921884 @default.
- W1966589269 hasVolume "22" @default.
- W1966589269 isParatext "false" @default.
- W1966589269 isRetracted "false" @default.
- W1966589269 magId "1966589269" @default.
- W1966589269 workType "article" @default.