{"id":"W1596387458","doi":"10.1109/vetec.1996.503430","title":"Adaptive synchronization for spread spectrum systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Spread spectrum; Computer science; Direct-sequence spread spectrum; Synchronization (alternating current); Demodulation; Code (set theory); Pseudorandom noise; Filter (signal processing); Computer hardware; Real-time computing; Electronic engineering; Embedded system; Code division multiple access; Computer network; Engineering","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":[0.0001762206,0.0002335005,0.0001701178,0.0002488963,0.0001840875,0.0003712964,0.0002360062,0.0004674231,0.002126179],"category_scores_gemma":[0.0008311986,0.0001116169,0.00009070927,0.0003260082,0.0002795951,0.0005293183,0.0002781023,0.0005045271,0.0006662408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002099015,"about_ca_system_score_gemma":0.0001906551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004242154,"about_ca_topic_score_gemma":0.000475701,"domain_scores_codex":[0.9998544,0.00003101832,0.000007430112,0.00003179311,0.00006620125,0.000009228749],"domain_scores_gemma":[0.9998556,0.00006300744,0.00001734751,0.000017674,0.0000386303,0.000007611255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002721724,0.00004773161,0.0006627886,0.0003369008,0.00005348853,0.0003188467,0.0001489768,0.0776383,0.1244923,0.2047853,0.006043314,0.5852],"study_design_scores_gemma":[0.00007316141,0.0002549846,0.001085659,0.00006807969,0.0000334527,0.0004957002,0.00002877687,0.8247691,0.03277382,0.08039375,0.05997706,0.00004642556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01326792,0.003907795,0.9747614,0.0002678126,0.0003223153,0.00003981032,0.00003154408,0.0004164071,0.006985114],"genre_scores_gemma":[0.6926125,0.005701208,0.278543,0.000292381,0.0008163035,0.0001817988,0.0001509795,0.00008584047,0.02161597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002126179,"threshold_uncertainty_score":0.007112801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05512780320293934,"score_gpt":0.2699689960383725,"score_spread":0.2148411928354332,"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."}}