{"id":"W2000812989","doi":"10.1049/ip-com:20050493","title":"Improved tangential sphere bound on the ML decoding error probability of linear binary block codes in AWGN and block fading channels","year":2006,"lang":"en","type":"article","venue":"IEE Proceedings - Communications","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Upper and lower bounds; Mathematics; Fading; Additive white Gaussian noise; Decoding methods; Algorithm; Block code; Bounding overwatch; Combinatorics; Topology (electrical circuits); Computer science; Statistics; White noise; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003381497,0.00141107,0.00123158,0.002047146,0.0005347135,0.001633404,0.001299547,0.001063835,0.002891453],"category_scores_gemma":[0.01767576,0.0003947613,0.0006281865,0.002181831,0.002598751,0.003010185,0.00227064,0.00204377,0.0009174187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737674,"about_ca_system_score_gemma":0.001403427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002428436,"about_ca_topic_score_gemma":0.001759052,"domain_scores_codex":[0.9973822,0.0009351866,0.0001106863,0.0002206088,0.001053329,0.0002979922],"domain_scores_gemma":[0.9876536,0.009107553,0.0005277987,0.0009480342,0.00149652,0.0002664018],"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":[0.000684672,0.00005276871,0.001770323,0.0002725772,0.00008860268,0.0002361987,0.0002599663,0.6659887,0.00953183,0.2177672,0.003893079,0.09945418],"study_design_scores_gemma":[0.00001300072,0.0000790319,0.0004779092,0.00003076559,0.00001472239,0.00006508233,0.0000247683,0.9221783,0.005377353,0.07037596,0.001334254,0.00002878165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0333412,0.001433573,0.956919,0.00048372,0.0001044842,0.00002854295,0.000137654,0.0003963165,0.00715551],"genre_scores_gemma":[0.8033394,0.002746172,0.1851357,0.00030291,0.0003413054,0.0001654759,0.0004994351,0.0002768301,0.007192778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003381497,"threshold_uncertainty_score":0.01788324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03629131720013724,"score_gpt":0.2669017111565289,"score_spread":0.2306103939563917,"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."}}