{"id":"W2073323688","doi":"10.1364/oe.21.008157","title":"Simple and efficient frequency offset tracking and carrier phase recovery algorithms in single carrier transmission systems","year":2013,"lang":"en","type":"article","venue":"Optics Express","topic":"Optical Network Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Carrier recovery; Computer science; Algorithm; Phase-shift keying; Carrier frequency offset; Estimator; Offset (computer science); Frequency offset; Transmission (telecommunications); Real-time computing; Electronic engineering; Carrier signal; Bit error rate; Telecommunications; Mathematics; Orthogonal frequency-division multiplexing; Engineering; Decoding methods","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":[0.0005117118,0.0004842653,0.0005447188,0.0005181886,0.0003887215,0.0005447894,0.0007925539,0.0006249014,0.0009748701],"category_scores_gemma":[0.001646134,0.000267665,0.0002439177,0.0004619761,0.0004428284,0.001074091,0.0004371931,0.0008255568,0.0005244153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003908661,"about_ca_system_score_gemma":0.0007661709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206221,"about_ca_topic_score_gemma":0.001327578,"domain_scores_codex":[0.9995435,0.00005758327,0.00002648425,0.00007741378,0.0002577543,0.00003730613],"domain_scores_gemma":[0.999428,0.0001840534,0.0001222832,0.0001233109,0.0001198491,0.00002252197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003506802,0.0001356434,0.001092313,0.0002132556,0.00005793979,0.0001559193,0.0001709646,0.2281877,0.1817666,0.01562843,0.001346742,0.5708937],"study_design_scores_gemma":[0.00003871257,0.0001148997,0.0004853642,0.00001052276,0.00001136876,0.0001776009,0.0000156432,0.9242929,0.06876215,0.003431087,0.002629473,0.00003021645],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03488002,0.0003290943,0.9635003,0.00006655931,0.00003221165,0.00004871618,0.00002126485,0.000455571,0.0006663308],"genre_scores_gemma":[0.2363835,0.0002959403,0.7611859,0.00003538884,0.00004051009,0.00006083936,0.00007199589,0.00007059819,0.001855407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001206221,"threshold_uncertainty_score":0.003261268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329798260282778,"score_gpt":0.2273882495509841,"score_spread":0.2140902669481563,"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."}}