{"id":"W1557467316","doi":"10.1109/pacrim.2005.1517221","title":"Non-coherent detection of MSK with transmit diversity in fast fading","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fading; Algorithm; Differential coding; Computer science; Transmission (telecommunications); Sequence (biology); Transmit diversity; Keying; Block (permutation group theory); Phase-shift keying; Code (set theory); Upper and lower bounds; Telecommunications; Mathematics; Bit error rate; Decoding methods","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":[0.001011369,0.0005817012,0.0006227992,0.0003970482,0.0003251788,0.000527881,0.0007146486,0.0006157596,0.0004074715],"category_scores_gemma":[0.003910367,0.0003795631,0.0002383882,0.0006086587,0.0007674474,0.001207824,0.0009775809,0.00042875,0.0002627108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329269,"about_ca_system_score_gemma":0.0004945052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004054114,"about_ca_topic_score_gemma":0.001000697,"domain_scores_codex":[0.9990602,0.0003144061,0.00003696582,0.0001092542,0.0003942009,0.00008494525],"domain_scores_gemma":[0.9982724,0.0009600167,0.0002870354,0.0001429105,0.0002910108,0.00004658691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001301789,0.0002037866,0.007396924,0.0007244304,0.0002235171,0.0009848336,0.0007564243,0.2739941,0.331961,0.05312824,0.001358781,0.3279661],"study_design_scores_gemma":[0.00008841002,0.0007454181,0.001508701,0.0000258669,0.00007436802,0.0008840645,0.00006213734,0.9150409,0.07102921,0.00890865,0.001588285,0.0000440782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2239838,0.001021024,0.7720257,0.0002890724,0.00005237044,0.00004796387,0.00004705546,0.0002526011,0.002280469],"genre_scores_gemma":[0.8067573,0.0006079454,0.1909378,0.0001484909,0.00009654753,0.00005770155,0.00006194949,0.00001860416,0.00131358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001011369,"threshold_uncertainty_score":0.005348682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023397781978226,"score_gpt":0.2117582493537535,"score_spread":0.2015242715339712,"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."}}