{"id":"W2161691833","doi":"10.1109/icassp.1977.1170274","title":"Designing near linear phase recursive filters using linear programming","year":2005,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Linear phase; Group delay and phase delay; Linear programming; Filter (signal processing); Computer science; Stability (learning theory); Control theory (sociology); Constant (computer programming); Frequency domain; Extension (predicate logic); Filter design; Prototype filter; Algorithm; Mathematics","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":[0.0005025553,0.0005306107,0.0004218155,0.0002522201,0.0002108776,0.0006652663,0.0003847088,0.0006177736,0.001667139],"category_scores_gemma":[0.001340786,0.0004240727,0.0003790052,0.0003454094,0.0004441085,0.0005929628,0.0003823497,0.0005617432,0.0007310862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002943829,"about_ca_system_score_gemma":0.0004125428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006456311,"about_ca_topic_score_gemma":0.001139285,"domain_scores_codex":[0.9997235,0.00008608838,0.00001361752,0.00005089499,0.0001014162,0.0000244706],"domain_scores_gemma":[0.9996457,0.000232609,0.00004383229,0.00002508538,0.00004507913,0.000007744788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001304017,0.00008894101,0.0004040895,0.0001861467,0.00006946082,0.0001242304,0.0002693876,0.6351783,0.1012401,0.05090302,0.0009103547,0.2104956],"study_design_scores_gemma":[0.00002536924,0.0001325429,0.00007767491,0.00001091344,0.00001627043,0.00006353713,0.00001918844,0.9711208,0.01592658,0.009664853,0.002929994,0.00001225321],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005217883,0.00002459942,0.9939526,0.00001553909,0.000002970854,0.00001149655,0.000003246026,0.0001186637,0.0006531152],"genre_scores_gemma":[0.1681363,0.0001925684,0.8273472,0.00007059593,0.00001748722,0.0001624262,0.0000323373,0.00008696227,0.003954131],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001667139,"threshold_uncertainty_score":0.005577147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07119364526709047,"score_gpt":0.3495529476417267,"score_spread":0.2783593023746362,"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."}}