{"id":"W2171656554","doi":"10.1109/tsp.2005.859331","title":"Closed-form blind MIMO channel estimation for orthogonal space-time block codes","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Block code; Algorithm; Decoding methods; MIMO; Channel (broadcasting); Channel state information; Block (permutation group theory); Mathematics; Blind signal separation; Computer science; Control theory (sociology); Telecommunications; Artificial intelligence; 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":[0.001573879,0.0008799914,0.001233589,0.0005995259,0.0006346766,0.00149089,0.00077662,0.001179906,0.001820472],"category_scores_gemma":[0.008585794,0.000547608,0.0004777842,0.0008557196,0.001032467,0.001989321,0.001201748,0.001424893,0.001198991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008128703,"about_ca_system_score_gemma":0.002254271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002162723,"about_ca_topic_score_gemma":0.003310405,"domain_scores_codex":[0.9975821,0.0008004105,0.0001084182,0.0003825145,0.0009822432,0.0001442792],"domain_scores_gemma":[0.99643,0.001980071,0.0003587174,0.0003953456,0.000776356,0.0000595679],"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":[0.0003446046,0.0001199722,0.0007068266,0.0004557507,0.0001550126,0.000209174,0.0002309936,0.4834314,0.02593591,0.1890126,0.007676158,0.2917216],"study_design_scores_gemma":[0.00003116908,0.00005764356,0.0001389101,0.00002731865,0.00001974121,0.0001587432,0.00002146207,0.9569602,0.008911117,0.02935418,0.00427431,0.00004524405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001181197,0.0001826444,0.9979193,0.000054674,0.00003440589,0.00001217614,0.00002693435,0.0001714157,0.0004173488],"genre_scores_gemma":[0.2120797,0.001277689,0.7797377,0.0002658914,0.0002263025,0.000198084,0.0004108799,0.0001422127,0.00566157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002162723,"threshold_uncertainty_score":0.00832355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969777579488497,"score_gpt":0.2716100576845973,"score_spread":0.2519122818897123,"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."}}