{"id":"W2117003260","doi":"10.1109/icassp.1990.115917","title":"A new method for designing M-D linear-phase FIR digital filters using the WKS sampling theory","year":2002,"lang":"en","type":"article","venue":"International Conference on Acoustics, Speech, and Signal Processing","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Finite impulse response; Minimax; A priori and a posteriori; Curse of dimensionality; Digital filter; Mathematics; Linear phase; Algorithm; Sampling (signal processing); Filter (signal processing); Nyquist–Shannon sampling theorem; Computer science; Mathematical optimization; Statistics; Mathematical analysis","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":[0.0006180009,0.0008271289,0.0005296359,0.0005767552,0.0002794003,0.0005735294,0.0006046316,0.0005692773,0.00387733],"category_scores_gemma":[0.001240187,0.0004405548,0.0005991646,0.0005196463,0.0004763935,0.0007256825,0.0004842643,0.0007429219,0.001419173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003878719,"about_ca_system_score_gemma":0.0005471086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007208459,"about_ca_topic_score_gemma":0.001219506,"domain_scores_codex":[0.9996179,0.00009983668,0.00002667334,0.00005528063,0.0001850592,0.0000151194],"domain_scores_gemma":[0.9996721,0.0001435426,0.0000371327,0.0000530785,0.00007894439,0.00001531197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000216496,0.00008745895,0.0004880707,0.0005465173,0.0001361825,0.0001400281,0.0001803346,0.1452499,0.09866244,0.0716598,0.003987647,0.6786452],"study_design_scores_gemma":[0.00009294121,0.0002314095,0.0002946185,0.00004114243,0.000042226,0.0003695146,0.0000205522,0.9382681,0.02639879,0.01206998,0.02213259,0.00003805858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004347355,0.00003669392,0.9990903,0.00001183415,0.00001373505,0.00001242066,0.000006227922,0.00007945154,0.0003146598],"genre_scores_gemma":[0.0233145,0.0001546955,0.974745,0.00003137862,0.00002994511,0.000110195,0.00004238783,0.00003326136,0.001538593],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00387733,"threshold_uncertainty_score":0.01297098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1491919999283533,"score_gpt":0.3903592184112994,"score_spread":0.2411672184829461,"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."}}