{"id":"W2167583366","doi":"10.1109/lsp.2010.2046191","title":"Blind Unique Identification of MIMO Channels Using Signal Designs and High-Order Moments","year":2010,"lang":"en","type":"article","venue":"IEEE Signal Processing Letters","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"MIMO; Channel (broadcasting); Mathematics; Phase-shift keying; Fading; Algorithm; Transmission (telecommunications); SIGNAL (programming language); Diophantine equation; Closed-form expression; Control theory (sociology); Applied mathematics; Topology (electrical circuits); Computer science; Telecommunications; Bit error rate; Mathematical analysis; Discrete mathematics; Combinatorics","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":[0.0002496918,0.0001936542,0.0002007841,0.0002245412,0.0001279436,0.0000786978,0.0002770801,0.0001161461,0.00001244239],"category_scores_gemma":[0.000009849906,0.000216359,0.00002723386,0.0003168252,0.0001739264,0.0004899796,0.00003043885,0.0003610693,0.000001655353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004081636,"about_ca_system_score_gemma":0.0000272266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001483024,"about_ca_topic_score_gemma":0.000001679439,"domain_scores_codex":[0.9989133,0.00003850661,0.0004153577,0.0002123922,0.000197005,0.0002233888],"domain_scores_gemma":[0.9993033,0.00005554455,0.0001844223,0.0002612093,0.000131813,0.00006374456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007974274,0.00001900747,0.00006050799,0.0001192889,0.00001508281,0.000001104219,0.0002303302,0.03944933,0.9464533,0.00002756793,0.00003783672,0.01357861],"study_design_scores_gemma":[0.0002182197,0.00001163329,0.00009443358,0.00009096968,0.00001738683,0.000006266373,0.0000210926,0.165805,0.8329316,0.0005492486,0.00004244472,0.0002116994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4816134,0.00006528366,0.5178387,0.0000827111,0.00007438328,0.0001355259,0.000003405251,0.0001754045,0.00001113434],"genre_scores_gemma":[0.9593203,0.00001807024,0.04037882,0.0001050798,0.00007434779,0.00003189233,0.000008024572,0.00005610401,0.000007371124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4777069,"threshold_uncertainty_score":0.8822865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676826186632402,"score_gpt":0.2734679694600586,"score_spread":0.2466997075937346,"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."}}