{"id":"W2143533442","doi":"10.1109/twc.2006.1633370","title":"Design and performance of BICM-ID systems with hypercube constellations","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Hypercube; Computer science; Decoding methods; Constellation; Algorithm; Coding (social sciences); Phase-shift keying; Upper and lower bounds; Convolutional code; Channel (broadcasting); Turbo code; Bandwidth (computing); Bit error rate; Theoretical computer science; Mathematics; Telecommunications; Parallel computing","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":[0.001128162,0.0005979614,0.00053126,0.0005079868,0.0003955612,0.0007479136,0.000679805,0.0005674604,0.001072268],"category_scores_gemma":[0.003022803,0.0002840872,0.0002047662,0.0006546938,0.0006234587,0.0007865728,0.0008906522,0.000585814,0.0004848698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007453922,"about_ca_system_score_gemma":0.0006161318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007014083,"about_ca_topic_score_gemma":0.0005881991,"domain_scores_codex":[0.9989609,0.0006160205,0.00003579407,0.00007533751,0.0002369695,0.00007491408],"domain_scores_gemma":[0.998502,0.0006469832,0.0001993192,0.0001745453,0.0004065766,0.00007052672],"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":[0.0006929754,0.0001198589,0.001927147,0.000263282,0.00008591338,0.0002431476,0.0004631045,0.7884608,0.04023951,0.05145026,0.001564653,0.1144893],"study_design_scores_gemma":[0.00002800782,0.0002326586,0.0002585101,0.00002717654,0.00001258803,0.0001317417,0.0000546854,0.9740208,0.01470037,0.008716119,0.001790523,0.00002677328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09481252,0.0009358752,0.8954956,0.0002596077,0.00006101078,0.00009800861,0.00008518872,0.0003321589,0.007920013],"genre_scores_gemma":[0.7982869,0.0004984479,0.1992618,0.00009576353,0.00003265918,0.0001787152,0.00008864283,0.0000289437,0.001528243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001128162,"threshold_uncertainty_score":0.005966365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906140049610427,"score_gpt":0.2270899040768139,"score_spread":0.2080285035807096,"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."}}