{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001417493,0.0002432108,0.0002202891,0.0002390182,0.0003466281,0.00007351441,0.000210001,0.0001434609,0.00004238769],"category_scores_gemma":[0.000003260227,0.0002670262,0.0001005061,0.0002694599,0.00005990151,0.0006283879,0.000001277102,0.0003087041,0.00004397755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001528354,"about_ca_system_score_gemma":0.000044257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000128563,"about_ca_topic_score_gemma":0.000009674393,"domain_scores_codex":[0.9989257,0.00001579915,0.0003482812,0.0002171931,0.0002025698,0.0002904422],"domain_scores_gemma":[0.9993762,0.0001034398,0.00008042968,0.000228346,0.0001280038,0.00008362017],"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":[0.0000483329,0.00006623413,1.27998e-7,0.00008155165,0.00001897702,2.027306e-7,0.0002047571,0.6602604,0.01382407,0.00001822351,0.00005092719,0.3254262],"study_design_scores_gemma":[0.0004088892,0.00004929798,0.000002444453,0.0001242493,0.0000271776,0.000006362274,0.00002532023,0.7448723,0.2529539,0.0005728922,0.0007241774,0.0002330725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01079921,0.0002087961,0.9866444,0.0002767098,0.00004453041,0.0004288368,0.00004183125,0.001172486,0.0003831763],"genre_scores_gemma":[0.9175379,0.00004815582,0.08173109,0.00005450677,0.00007531052,0.0002618183,0.00001446122,0.00007438556,0.0002023324],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9067388,"threshold_uncertainty_score":0.9999782,"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."}}