{"id":"W2146942266","doi":"10.1109/ssst.1996.493477","title":"Design of QMF banks and nonlinear optimization","year":2002,"lang":"en","type":"article","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Victoria","keywords":"Stopband; Quadrature mirror filter; Algorithm; Filter bank; Linear phase; Nonlinear system; Filter (signal processing); Iterative method; Prototype filter; Mathematics; Computer science; Finite impulse response; Quadrature (astronomy); Control theory (sociology); Filter design; Band-pass filter; Engineering; Artificial intelligence; Electronic engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048295,0.0006325259,0.0007968605,0.0002990082,0.0002763022,0.0005595909,0.0006646151,0.00111435,0.001317131],"category_scores_gemma":[0.002332196,0.0004677683,0.0003479498,0.0002547709,0.0007294988,0.000723718,0.0006164546,0.0004850277,0.0003774805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005027475,"about_ca_system_score_gemma":0.0006267345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008942318,"about_ca_topic_score_gemma":0.000908998,"domain_scores_codex":[0.9996586,0.0001165076,0.00001668511,0.00007229483,0.00009745968,0.00003847379],"domain_scores_gemma":[0.9995801,0.0002335529,0.00005180256,0.00003356876,0.00008804411,0.00001295236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006089528,0.00003101826,0.000447577,0.0001916481,0.00003902244,0.00009034661,0.00008362113,0.7862623,0.01557194,0.0784278,0.00112606,0.1176677],"study_design_scores_gemma":[0.00001476176,0.00003954244,0.00009687699,0.00001246689,0.000007421341,0.00004208162,0.00000803161,0.9830093,0.002192611,0.01215753,0.002412159,0.000007184325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004533219,0.0002243209,0.9939249,0.0000788451,0.0000149927,0.00001718241,0.000007366872,0.00005367511,0.001145412],"genre_scores_gemma":[0.3113056,0.0007748017,0.6843803,0.0001554747,0.00006622582,0.0002096277,0.00006128972,0.00005726298,0.002989408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001317131,"threshold_uncertainty_score":0.005544007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02887666394624426,"score_gpt":0.2214673253971708,"score_spread":0.1925906614509266,"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."}}