{"id":"W1851215928","doi":"10.1109/glocom.2001.965196","title":"A segmented matched filter for CDMA code synchronization in systems with Doppler frequency offset","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Matched filter; Computer science; Electronic engineering; Spread spectrum; Doppler effect; Frequency offset; Filter (signal processing); Carrier frequency offset; Root-raised-cosine filter; Direct-sequence spread spectrum; Code division multiple access; Filter design; Telecommunications; Physics; Engineering; Orthogonal frequency-division multiplexing","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002973588,0.0001162393,0.0001607142,0.0001532846,0.0000878801,0.0002174348,0.0009897174,0.00006483786,0.00008991897],"category_scores_gemma":[0.00002831855,0.00009230666,0.00002191276,0.0007231844,0.0000365587,0.000462998,0.0001620541,0.0001321937,0.00007150674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001404529,"about_ca_system_score_gemma":0.00003551783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001031001,"about_ca_topic_score_gemma":0.0003058569,"domain_scores_codex":[0.9986513,0.0001400327,0.0002748184,0.0003027904,0.0003111234,0.0003199949],"domain_scores_gemma":[0.9985561,0.0001819684,0.00007492275,0.0009229367,0.0001939644,0.00007007758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001574061,0.002799458,0.0475305,0.001047015,0.000368799,0.00008862821,0.009987511,0.2090989,0.002979009,0.3106685,0.3577903,0.05748402],"study_design_scores_gemma":[0.0006170986,0.00006967578,0.0004066556,0.00008409845,0.000001412149,0.00001361105,0.00003159987,0.997606,0.00008643457,0.0001108213,0.0008390081,0.0001335428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002342667,0.0002475568,0.9911999,0.002066642,0.00006347484,0.0008540698,0.000006992563,0.000162414,0.003056298],"genre_scores_gemma":[0.9474077,0.00005543101,0.05026764,0.0001311923,0.00002873584,0.0003660414,0.00002008935,0.00001548656,0.001707751],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.945065,"threshold_uncertainty_score":0.3764156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04316921639854438,"score_gpt":0.2656322308945885,"score_spread":0.2224630144960441,"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."}}