{"id":"W2060674330","doi":"10.1109/icassp.2010.5496018","title":"Closed-form blind channel estimation in orthogonally coded MIMO-OFDM systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Estimator; MIMO-OFDM; Channel (broadcasting); Frequency domain; Algorithm; MIMO; Computer science; Constraint (computer-aided design); Key (lock); Multiplexing; Mathematics; Control theory (sociology); Telecommunications; Statistics; Artificial intelligence","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":[0.0001851537,0.0001304733,0.0001550101,0.0001717946,0.00003342306,0.00003257345,0.0002688334,0.0001350665,0.00002834221],"category_scores_gemma":[0.00003567328,0.0001320683,0.0000254747,0.0002084724,0.0000253057,0.0002795609,0.00004107002,0.0003547726,0.00004370897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004651897,"about_ca_system_score_gemma":0.00001326594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004452549,"about_ca_topic_score_gemma":0.0004484057,"domain_scores_codex":[0.999263,0.0000127697,0.0003095765,0.0001151768,0.0001220673,0.0001773451],"domain_scores_gemma":[0.9993089,0.00006436631,0.0000417493,0.0004842684,0.00005164712,0.00004902262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005956632,0.0002469897,0.001501266,0.0005210088,0.00007012904,0.00001241687,0.001602604,0.5803695,0.1563823,0.1682616,0.001955032,0.08901755],"study_design_scores_gemma":[0.0003604807,0.00001270964,0.001183527,0.00004392507,0.000002615357,0.000005508211,0.00006038447,0.9739525,0.02061375,0.001982718,0.001559019,0.0002228296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3231379,0.0001528917,0.6509296,0.0001122767,0.0003994602,0.0006723522,0.000008900696,0.002152578,0.0224341],"genre_scores_gemma":[0.9615467,0.00006482953,0.03791297,0.00001922454,0.00002402347,0.0001391866,0.00003487479,0.0000344589,0.0002237808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6384087,"threshold_uncertainty_score":0.538559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351764378759078,"score_gpt":0.2591000761714226,"score_spread":0.2455824323838318,"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."}}