{"id":"W2118700319","doi":"10.1109/acssc.2005.1599927","title":"On Subspace-based Blind Channel Estimation Algorithms for SFBC MC-CDMA systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Algorithm; Fading; Code division multiple access; Identifiability; Telecommunications link; Block code; Channel (broadcasting); Transmit diversity; Multipath propagation; Subspace topology; Antenna diversity; Space–time block code; Theoretical computer science; Telecommunications; Decoding methods; Wireless; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00124474,0.0009064573,0.0006985835,0.0006944051,0.000542791,0.0009844825,0.0006823361,0.001214089,0.002097541],"category_scores_gemma":[0.008713617,0.0003832463,0.0004290293,0.001097038,0.001153836,0.001644061,0.001402182,0.00151637,0.0008161504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005935101,"about_ca_system_score_gemma":0.001396142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003462017,"about_ca_topic_score_gemma":0.002706859,"domain_scores_codex":[0.9990356,0.0003812472,0.00004581343,0.0001236435,0.0003308472,0.00008284775],"domain_scores_gemma":[0.997014,0.002031876,0.000218586,0.0001960177,0.0004867362,0.00005280254],"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":[0.000153412,0.00006453908,0.0005285806,0.0001415351,0.00004505382,0.00007955769,0.0002240189,0.7020153,0.007100075,0.07147235,0.002126347,0.2160493],"study_design_scores_gemma":[0.000004932134,0.00002995355,0.00008275087,0.00001111545,0.000003227064,0.00003203165,0.00001063203,0.9898441,0.0009845919,0.0083332,0.0006516058,0.00001185168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003421636,0.0003483235,0.9949533,0.00009220716,0.00002419374,0.00001969339,0.00001908654,0.0000954229,0.00102602],"genre_scores_gemma":[0.2508978,0.001714837,0.7417355,0.0002417919,0.0002323528,0.0002421154,0.0001973077,0.00009174577,0.004646681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003462017,"threshold_uncertainty_score":0.007017016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0232291306054526,"score_gpt":0.2696595335928619,"score_spread":0.2464304029874093,"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."}}