{"id":"W2153443706","doi":"10.1109/tcomm.2005.849797","title":"Tight Error Bounds for Space-Time Orthogonal Block Codes Under Slow Rayleigh Flat Fading","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Pairwise error probability; Upper and lower bounds; Rayleigh fading; Mathematics; Block code; Algorithm; Fading; Bit error rate; Decoding methods; Chernoff bound; Combinatorics; Discrete mathematics; Mathematical analysis","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002000641,0.0003137526,0.0003091726,0.0003145057,0.0009086249,0.00007664443,0.001264366,0.0001909618,0.0001207932],"category_scores_gemma":[0.000008304619,0.0003627988,0.0002186033,0.0004278937,0.0002256252,0.0004382335,0.00001226299,0.0006218165,0.0001709153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003413887,"about_ca_system_score_gemma":0.0000519101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007169785,"about_ca_topic_score_gemma":0.0002467877,"domain_scores_codex":[0.9986049,0.00009538589,0.0004938051,0.0002436757,0.0001911266,0.0003711313],"domain_scores_gemma":[0.9962316,0.0007378184,0.00008655409,0.002656667,0.0001566819,0.0001307122],"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":[0.00005632606,0.0006013345,0.000008680529,0.00006243569,0.0004476123,3.737366e-7,0.0009938562,0.8449292,0.08485018,0.01344881,0.005822927,0.04877828],"study_design_scores_gemma":[0.001028303,0.0001007988,0.00005437092,0.0001643115,0.0001556253,0.00002384173,0.0001671889,0.6131942,0.2137938,0.002669374,0.1677003,0.000947924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003541818,0.0006438777,0.9838639,0.003544381,0.0001358026,0.0007159351,0.0002082366,0.002033128,0.00531285],"genre_scores_gemma":[0.8558186,0.001255444,0.1401489,0.000136846,0.00004197251,0.0007824809,0.00006284151,0.0001073516,0.001645604],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8522767,"threshold_uncertainty_score":0.9998824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02915021037187503,"score_gpt":0.2864121138004663,"score_spread":0.2572619034285912,"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."}}