{"id":"W2146947327","doi":"10.1109/ccece.2011.6030512","title":"Blind correlated TDL equalization in fast Rician fading channels","year":2011,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Rician fading; Fading; Computer science; Channel (broadcasting); Equalization (audio); Algorithm; Bit error rate; Transmission (telecommunications); Blind equalization; Symbol (formal); Wireless; Relay; Statistics; Mathematics; Telecommunications","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":[0.0003772613,0.0000885777,0.00009791057,0.0003045646,0.00004311299,0.00008139354,0.0003958735,0.00009152506,0.00007636209],"category_scores_gemma":[0.00002700774,0.00008473545,0.00002315413,0.0007446705,0.00001485961,0.0006435956,0.0001063006,0.0001081245,0.00008940233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003001446,"about_ca_system_score_gemma":0.0000273438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001428647,"about_ca_topic_score_gemma":0.00006347834,"domain_scores_codex":[0.9991342,0.00008417245,0.0002362622,0.0002341232,0.0001387831,0.0001724537],"domain_scores_gemma":[0.9995413,0.00002528412,0.00007454748,0.0002554897,0.00005871022,0.00004463039],"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":[0.00001262183,0.0001863093,0.001907449,0.000006262137,0.000008752428,0.00001469638,0.03934699,0.0005843185,0.0009593142,0.9346929,0.0007954809,0.02148486],"study_design_scores_gemma":[0.001280523,0.0002725048,0.005619421,0.00008134636,0.000005159495,0.00001737065,0.0004190105,0.8486494,0.09118295,0.04936233,0.002398895,0.0007110446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01510034,0.00001056766,0.9181235,0.0001357282,0.000166373,0.0001647438,1.710318e-7,0.0004762078,0.06582237],"genre_scores_gemma":[0.9669594,0.00000508781,0.03148723,0.0005899664,0.00001288381,0.0000128552,0.000002897516,0.000007229771,0.0009224419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9518591,"threshold_uncertainty_score":0.3455411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06516809792642854,"score_gpt":0.2797795213432305,"score_spread":0.214611423416802,"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."}}