{"id":"W2969266943","doi":"10.1109/ieee-iws.2019.8804038","title":"Low Speed Digital RoF Transmitter Linearizer Using Sub-band Signal Processing Technique","year":2019,"lang":"en","type":"article","venue":"2019 IEEE MTT-S International Wireless Symposium (IWS)","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Electronic engineering; Radio over fiber; Computer science; Transmitter; Bandwidth (computing); Digital signal processing; Signal processing; Linearizer; Radio transmitter design; Quadrature amplitude modulation; QAM; Predistortion; Telecommunications; Engineering; Bit error rate; Wireless","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001820237,0.0004037961,0.0002470356,0.0003824377,0.000234582,0.0004680509,0.0005459277,0.0004653171,0.002816779],"category_scores_gemma":[0.0002719272,0.0001985008,0.0002308991,0.0002609817,0.0002561656,0.0006430881,0.0002175378,0.0004460462,0.001295497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003689709,"about_ca_system_score_gemma":0.0003312426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004406672,"about_ca_topic_score_gemma":0.001026441,"domain_scores_codex":[0.9997801,0.00002982963,0.0000112163,0.00004921528,0.00009954796,0.00003013862],"domain_scores_gemma":[0.9998148,0.000048767,0.00004455548,0.00003183435,0.00005199906,0.000008055351],"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":[0.0002586332,0.00008060487,0.001142774,0.0001675056,0.00004417954,0.0001788161,0.0001231321,0.005227815,0.8146145,0.007490861,0.001288673,0.1693826],"study_design_scores_gemma":[0.00009208645,0.0008573514,0.002049589,0.00003453973,0.00007247896,0.001300395,0.00006562288,0.1445671,0.8124541,0.001158555,0.03729711,0.00005114494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1078123,0.0007779648,0.8806745,0.0003237023,0.0001372845,0.0001195044,0.00008814516,0.001390536,0.008676011],"genre_scores_gemma":[0.4465277,0.0004231008,0.5446899,0.0002573513,0.0001345128,0.00008995117,0.000155057,0.00005512566,0.007667232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002816779,"threshold_uncertainty_score":0.009423018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008446360224411418,"score_gpt":0.2332576367517202,"score_spread":0.2248112765273088,"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."}}