{"id":"W2049005062","doi":"10.1007/s00034-004-1029-8","title":"2-Norm Based Recursive Design of Transmultiplexers with Designable Filter Length","year":2006,"lang":"en","type":"article","venue":"Circuits Systems and Signal Processing","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Computation; Filter bank; Norm (philosophy); Computer science; Algorithm; Filter (signal processing); Distortion (music); Filter design; Prototype filter; Mathematics; Computer engineering; Bandwidth (computing); Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003507368,0.0001902575,0.0002591795,0.0001481057,0.0001577034,0.0004557021,0.0002553906,0.00005294824,0.000004773746],"category_scores_gemma":[0.000003992098,0.0001536148,0.00003132983,0.0003466126,0.00007083894,0.001211721,0.0000134479,0.00006720758,0.000001680004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003445191,"about_ca_system_score_gemma":0.0001796045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009307457,"about_ca_topic_score_gemma":0.000002062125,"domain_scores_codex":[0.9985161,0.0000910069,0.0003784208,0.0003717221,0.0003370631,0.0003056891],"domain_scores_gemma":[0.9992433,0.0001094449,0.0002211613,0.0001558439,0.0001945032,0.0000757551],"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":[0.0002503366,0.00074024,0.00461143,0.004102139,0.0001576967,0.0001473793,0.006146061,0.09883875,0.2722647,0.03245631,0.002258379,0.5780265],"study_design_scores_gemma":[0.004050069,0.001611479,0.001489019,0.00175905,0.00007791992,0.0001380991,0.0007342878,0.9011239,0.08350555,0.003689612,0.0006836029,0.001137387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003683078,0.0006377067,0.99345,0.00003065708,0.00003720168,0.0004615449,0.000005789976,0.00007126146,0.001622721],"genre_scores_gemma":[0.9885947,0.000001589247,0.01111864,0.00004476903,0.00003807135,0.00003619275,0.000007716261,0.00001647984,0.0001418954],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9849116,"threshold_uncertainty_score":0.626423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312969596271949,"score_gpt":0.2237704159761958,"score_spread":0.192473456349001,"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."}}