{"id":"W2114592877","doi":"10.1109/icccas.2005.1495205","title":"Design of quadrature mirror filter banks with canonical signed digit coefficients using genetic algorithm","year":2005,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Quadrature mirror filter; Crossover; Algorithm; Filter (signal processing); Quadrature (astronomy); Genetic algorithm; Ideal (ethics); Mathematics; Filter bank; Filter design; Computer science; Prototype filter; Mathematical optimization; Artificial intelligence; Engineering; Electronic engineering; 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":[0.00009220873,0.0001664346,0.0001736036,0.00009901179,0.00005506379,0.0002312987,0.0004870176,0.00005241479,0.00007446094],"category_scores_gemma":[0.000005817831,0.0001266102,0.00003979053,0.0003659194,0.00004970909,0.0007441176,0.00009507009,0.00006535149,0.00002271434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005375219,"about_ca_system_score_gemma":0.0001660697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004148448,"about_ca_topic_score_gemma":0.000006896868,"domain_scores_codex":[0.9985871,0.00005875609,0.0003069642,0.0003463195,0.0003903628,0.0003104367],"domain_scores_gemma":[0.999254,0.00006395697,0.0001007934,0.0003584178,0.0001159674,0.0001068415],"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":[0.000106446,0.0008204991,0.0003538402,0.00003897236,0.0001335986,0.00005566383,0.001831314,0.01568476,0.05235676,0.002445888,0.002655283,0.923517],"study_design_scores_gemma":[0.0015837,0.0008919497,0.001214073,0.00005166308,0.00002603632,0.00008367323,0.00003532378,0.8823102,0.1114342,0.0001841854,0.001677488,0.0005074966],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008526882,0.00002118577,0.9900333,0.0001079649,0.0000618672,0.0003091611,0.000007621244,0.00006765564,0.0008643594],"genre_scores_gemma":[0.3545947,6.774813e-7,0.6446267,0.0003311058,0.00001625471,0.000005445471,0.000005011508,0.00001009578,0.0004099458],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9230095,"threshold_uncertainty_score":0.5163013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03709402895009233,"score_gpt":0.2715612654410557,"score_spread":0.2344672364909633,"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."}}