{"id":"W2127017310","doi":"10.1109/sam.2004.1502953","title":"Orthogonal block code design for frequency-selective multiple antenna channels","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Block code; Orthogonality; Orthogonal frequency-division multiplexing; Algorithm; Mathematics; Computer science; Symbol rate; Channel (broadcasting); Topology (electrical circuits); Bit error rate; Telecommunications; Decoding methods; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004299491,0.0003073783,0.0002991802,0.0003180056,0.0002579171,0.000422346,0.0002769217,0.0003223667,0.001006102],"category_scores_gemma":[0.002104606,0.0001351038,0.0001312628,0.0005698242,0.0003481029,0.0004566107,0.000356065,0.0003070936,0.0003797449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004855639,"about_ca_system_score_gemma":0.0008819561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180833,"about_ca_topic_score_gemma":0.001486658,"domain_scores_codex":[0.9995,0.0001835924,0.00002463464,0.0000481422,0.0001839694,0.00005963655],"domain_scores_gemma":[0.9987717,0.0004604172,0.0001681931,0.0001262315,0.0004381404,0.00003521543],"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":[0.0003944345,0.00005425952,0.001380387,0.0002491253,0.00004911701,0.000203097,0.0002066541,0.321632,0.08009036,0.3798228,0.00335461,0.2125631],"study_design_scores_gemma":[0.00004894649,0.0001909766,0.0003620873,0.00003308233,0.00002267366,0.0002126495,0.00002480149,0.9104156,0.02924542,0.04770712,0.01170548,0.00003119922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03285656,0.0004674189,0.9623147,0.0001089868,0.00003657497,0.00003606216,0.0000866057,0.0001478584,0.003945207],"genre_scores_gemma":[0.6037827,0.0009663806,0.3903637,0.0001475691,0.00006383726,0.0002338237,0.0003092598,0.00006180779,0.004070813],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001180833,"threshold_uncertainty_score":0.003523052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03167374330267843,"score_gpt":0.2669490319346924,"score_spread":0.235275288632014,"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."}}