{"id":"W2583818195","doi":"10.1109/icassp.1981.1171104","title":"Comparison of the effects of quantization on digital filters","year":2005,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Quantization (signal processing); Immittance; Digital filter; Cascade; Computer science; Noise shaping; Half-band filter; Network synthesis filters; Electronic engineering; Mathematics; Control theory (sociology); Filter (signal processing); Algorithm; Root-raised-cosine filter; Artificial intelligence; Engineering","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":[0.00002994264,0.00004519989,0.00007317127,0.00003504404,0.00001530902,0.00004969069,0.0002877871,0.00001067053,0.000004286333],"category_scores_gemma":[0.00003249681,0.00002946383,0.0000375313,0.0001635193,0.00001877312,0.0005169899,0.0000562824,0.0000185927,0.000009882665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009345802,"about_ca_system_score_gemma":0.000009623168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002461168,"about_ca_topic_score_gemma":0.000001504241,"domain_scores_codex":[0.9994915,0.00001473749,0.0001681518,0.00008339514,0.0001783172,0.00006394953],"domain_scores_gemma":[0.9995776,0.00009299629,0.00009013076,0.0001980723,0.00002679205,0.00001444858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001911351,0.0007504981,0.03644013,0.0001298333,0.00003649012,2.546124e-7,0.003395276,0.000720119,0.0345376,0.3513364,0.01631872,0.5563156],"study_design_scores_gemma":[0.0003816255,0.0004300101,0.01530588,0.0000519306,0.000003538136,5.290074e-7,0.00004124598,0.03869553,0.9426529,0.001104527,0.00124818,0.00008404643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4188343,0.00001340757,0.5536478,0.0005070972,0.0003020608,0.0003008526,0.000003578471,0.00004865888,0.02634229],"genre_scores_gemma":[0.9984168,4.220908e-7,0.001234456,0.0001260024,0.000007867375,0.000001432756,0.000002078949,0.000001997457,0.0002088741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9081153,"threshold_uncertainty_score":0.12015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375695592859356,"score_gpt":0.3045571128476437,"score_spread":0.2808001569190501,"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."}}