{"id":"W2169616576","doi":"10.1109/iscas.2004.1329002","title":"An interpolation filter based on spline functions for non-synchronized timing recovery","year":2004,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Initialization; Spline interpolation; Root-raised-cosine filter; Algorithm; Reconstruction filter; Finite impulse response; Interpolation (computer graphics); Infinite impulse response; Digital filter; Control theory (sociology); Mathematics; Filter (signal processing); Bilinear interpolation; Artificial intelligence; Computer vision","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":[0.0008638799,0.0004616382,0.0004796226,0.0005181906,0.000358772,0.0003603426,0.0005287096,0.0007783355,0.001452563],"category_scores_gemma":[0.001718936,0.0002041737,0.0005418445,0.0005600701,0.0003340508,0.0006590048,0.0002464729,0.0006507781,0.0006106837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095074,"about_ca_system_score_gemma":0.0006008745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004868681,"about_ca_topic_score_gemma":0.0006394223,"domain_scores_codex":[0.9996519,0.00009850549,0.00002224984,0.00005549247,0.0001376887,0.00003419105],"domain_scores_gemma":[0.9992675,0.0003174091,0.00008222226,0.00009643452,0.000202322,0.00003421045],"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":[0.0009499287,0.0001783128,0.001236917,0.0003837085,0.00008946322,0.0002902658,0.0001801767,0.05503912,0.3856102,0.02275907,0.001459499,0.5318233],"study_design_scores_gemma":[0.00009586316,0.001346537,0.001745069,0.00006749474,0.0001373916,0.00104704,0.0000347578,0.7757834,0.1943063,0.006824472,0.01847073,0.000140926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01244539,0.000201644,0.9864972,0.00004126962,0.00004308979,0.00001467214,0.00001386017,0.0002959518,0.0004468462],"genre_scores_gemma":[0.255705,0.0005316314,0.7396464,0.0001067315,0.000118909,0.00006867501,0.0001174293,0.0001172449,0.003587967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001452563,"threshold_uncertainty_score":0.004859328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04020377739744716,"score_gpt":0.2961487926448023,"score_spread":0.2559450152473551,"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."}}