{"id":"W4230657296","doi":"10.1109/t-wc.2009.071411","title":"Cyclic space-frequency filtering for BICM-OFDM systems with multiple co-located or distributed transmit antennas","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Pairwise error probability; Transmit diversity; Algorithm; Transmission (telecommunications); Filter (signal processing); Fading; Antenna diversity; Antenna (radio); Control theory (sociology); Electronic engineering; Telecommunications; Decoding methods; Channel (broadcasting); Engineering","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":[0.0003615758,0.0006080418,0.0003257518,0.0003155025,0.0004570202,0.0007098885,0.0003618609,0.0007100418,0.001376052],"category_scores_gemma":[0.001686732,0.0001718225,0.0003125711,0.0006581672,0.0004494232,0.0005670813,0.0004353622,0.000634001,0.0004133849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008392588,"about_ca_system_score_gemma":0.0007841132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001810333,"about_ca_topic_score_gemma":0.003473839,"domain_scores_codex":[0.9996474,0.00009410513,0.00001381291,0.00004529242,0.0001558969,0.00004356095],"domain_scores_gemma":[0.9992983,0.0003852879,0.00009751017,0.00007554227,0.0001285028,0.00001476759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001798536,0.00008056834,0.001863894,0.0004365154,0.00007451481,0.0003944784,0.0002590574,0.4870973,0.04979248,0.1254137,0.003108775,0.3312988],"study_design_scores_gemma":[0.000007078342,0.0001029144,0.0003874048,0.00004834015,0.00003052149,0.0003231822,0.00003399546,0.9704709,0.009062988,0.01465283,0.004851493,0.00002838271],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01762027,0.001290722,0.9759616,0.0001735388,0.00005367509,0.00002499373,0.00003128211,0.00007412046,0.004769727],"genre_scores_gemma":[0.7472463,0.002544257,0.2459648,0.0002433485,0.0001409869,0.0001012262,0.00009014343,0.00003848497,0.003630524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001810333,"threshold_uncertainty_score":0.00608933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05613286286400145,"score_gpt":0.2962758620921504,"score_spread":0.2401429992281489,"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."}}