{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005696529,0.000625243,0.000401759,0.0003285501,0.0003411922,0.0008587071,0.000756159,0.0007854223,0.002185148],"category_scores_gemma":[0.001211612,0.000297504,0.0003373843,0.0002352089,0.0002926864,0.0006238385,0.0002929505,0.0005172545,0.0006630528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008819182,"about_ca_system_score_gemma":0.0005631233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111367,"about_ca_topic_score_gemma":0.003362061,"domain_scores_codex":[0.999603,0.0001462804,0.00002240234,0.00007469962,0.0001127034,0.00004089607],"domain_scores_gemma":[0.9995197,0.0002037842,0.0000635008,0.00006472688,0.0001309329,0.00001735235],"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":[0.0006653073,0.0001982609,0.0007339442,0.0002133276,0.0001135555,0.000149099,0.000347768,0.2010725,0.3578667,0.09308632,0.002082004,0.3434712],"study_design_scores_gemma":[0.00004829036,0.0002674467,0.0003841057,0.0000224494,0.0000341354,0.0001613275,0.00001919419,0.8853037,0.1013111,0.006772553,0.005641569,0.00003413924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02238629,0.0001309664,0.9745269,0.00006807109,0.00002115681,0.0000279189,0.00002849182,0.0003583625,0.002451862],"genre_scores_gemma":[0.3952388,0.0002296969,0.5987107,0.0001297458,0.00004873279,0.0001450855,0.0001262591,0.0001015063,0.005269555],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002185148,"threshold_uncertainty_score":0.007310033,"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."}}