{"id":"W2071032643","doi":"10.1109/msna.2012.6324523","title":"Design and simulation of a variable bit load adaptive OFDM transceiver for frequency selective channel","year":2012,"lang":"en","type":"article","venue":"","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Channel (broadcasting); Transceiver; Adaptive beamformer; Electronic engineering; Beamforming; Least mean squares filter; Phase-shift keying; Bit error rate; Signal-to-noise ratio (imaging); Interference (communication); Modulation (music); Mean squared error; Algorithm; Adaptive filter; Engineering; Telecommunications; Mathematics; Wireless; Acoustics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004432567,0.00008345596,0.0001432579,0.0001006569,0.00004067536,0.00001110654,0.000134502,0.00005637682,0.000009050063],"category_scores_gemma":[0.00007688187,0.00007729128,0.00002878183,0.0003190038,0.00003537332,0.0009011365,0.00001540768,0.00003349681,9.472809e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004665575,"about_ca_system_score_gemma":0.00007747005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001212078,"about_ca_topic_score_gemma":0.000001090525,"domain_scores_codex":[0.9993213,0.00004966223,0.0001897453,0.0001511843,0.0001479358,0.0001401846],"domain_scores_gemma":[0.9989868,0.0003178179,0.0001165526,0.0001303261,0.0004056776,0.00004282809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002735702,0.00089969,0.0005757534,0.0002855952,0.0002643983,2.919887e-7,0.02127122,0.1655627,0.09614661,0.6617606,0.0006812941,0.05227833],"study_design_scores_gemma":[0.0002165063,0.0002718772,0.0003790175,0.00002175508,0.00001312779,0.000001078114,0.00001376208,0.7633249,0.189503,0.04614748,0.0000149422,0.00009250444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007449891,0.00005501731,0.9961929,0.0000206904,0.00005662222,0.0005502619,0.000002863634,0.0001233543,0.002253301],"genre_scores_gemma":[0.5592533,0.000001655159,0.4406543,0.00001347364,0.000007129851,0.00002978404,3.200752e-7,0.000003523452,0.00003651932],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6156131,"threshold_uncertainty_score":0.3151847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03723823595802756,"score_gpt":0.2765766115158881,"score_spread":0.2393383755578606,"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."}}