{"id":"W2611920470","doi":"10.1109/lpt.2017.2700763","title":"Wavelength Reuse in an RoF Link Based on CS-DSB, Coherent Detection and DSP","year":2017,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compatible sideband transmission; Upstream (networking); Sideband; Optical communications repeater; Quadrature amplitude modulation; SIGNAL (programming language); Digital signal processing; Amplitude modulation; Modulation (music); Optical Carrier transmission rates; Transmission (telecommunications); Carrier recovery; Analog transmission; Electronic engineering; Optics; Physics; Radio over fiber; Computer science; Wavelength; Frequency modulation; Optical performance monitoring; Telecommunications; Optical fiber; Wavelength-division multiplexing; Microwave; Engineering; Analog signal; Bandwidth (computing); Bit error rate; Channel (broadcasting); Carrier signal; Acoustics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003326401,0.0002753072,0.0002645275,0.0004037649,0.0004845966,0.0003819167,0.0006301317,0.0003661992,0.0004601637],"category_scores_gemma":[0.0002722361,0.0001998453,0.0001775363,0.0002838972,0.0005274726,0.0005513573,0.0003268247,0.0002592082,0.0001834789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004447796,"about_ca_system_score_gemma":0.0004228109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001456119,"about_ca_topic_score_gemma":0.002205219,"domain_scores_codex":[0.9997479,0.00004624875,0.000008604037,0.0000524584,0.00008754509,0.00005718969],"domain_scores_gemma":[0.9995944,0.0000871077,0.0001193514,0.00008702234,0.00008114515,0.00003090721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005325381,0.0002254018,0.003913269,0.00008365924,0.00003491676,0.0004760366,0.0002316407,0.005688695,0.9406853,0.006694986,0.0003136655,0.04111993],"study_design_scores_gemma":[0.0001015173,0.001674588,0.004954084,0.00001942581,0.00007842918,0.001095718,0.00009324858,0.1151361,0.8714808,0.00132532,0.003972442,0.00006815689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786078,0.0002241258,0.01863104,0.00007820085,0.0000111473,0.00001787039,0.00002341443,0.0002249509,0.002181417],"genre_scores_gemma":[0.988744,0.00005452281,0.01049646,0.00001657511,0.000008848781,0.000009483041,0.00001703001,0.000007649851,0.0006452977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001456119,"threshold_uncertainty_score":0.003227174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107785885421281,"score_gpt":0.2305950493122515,"score_spread":0.2195171904580387,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}