{"id":"W2126742980","doi":"10.1109/iscas.1992.230237","title":"Parallel MD recursive digital filtering using 1D vector recursive filters","year":2003,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Recursion (computer science); BIBO stability; Bounded function; Recursive filter; Filter (signal processing); Digital filter; Stability (learning theory); Computer science; Algorithm; Mathematics; Root-raised-cosine filter; 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":[0.0003435293,0.0003508412,0.0004251548,0.0003331832,0.0002403562,0.0007295711,0.0004192836,0.0004638212,0.002971146],"category_scores_gemma":[0.0009377846,0.0002293171,0.0004874553,0.0004142809,0.000315926,0.0007153681,0.0005281364,0.0004437822,0.0007714439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005590647,"about_ca_system_score_gemma":0.0005180052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056515,"about_ca_topic_score_gemma":0.0027528,"domain_scores_codex":[0.9997168,0.00004368555,0.00002395986,0.00006285837,0.0001312311,0.00002149813],"domain_scores_gemma":[0.9997982,0.00007317665,0.00002805267,0.00003842046,0.0000563307,0.000005762715],"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":[0.0001493053,0.00004156585,0.000729195,0.0001576243,0.00005267351,0.0001733904,0.0001561488,0.2987717,0.05429958,0.1573744,0.002253257,0.4858411],"study_design_scores_gemma":[0.00001215447,0.00003848148,0.0001877912,0.00001052565,0.00001159475,0.0001130212,0.000007440069,0.9680578,0.01157831,0.01320728,0.006760317,0.00001529261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003719734,0.00007519312,0.9942272,0.00003409013,0.00001758031,0.00001729346,0.00001882386,0.0002335274,0.001656577],"genre_scores_gemma":[0.2246771,0.0003975315,0.7669958,0.0000779323,0.00005754984,0.0001164123,0.0001645967,0.00006906335,0.007443907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002971146,"threshold_uncertainty_score":0.009939492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785716088150333,"score_gpt":0.2128915277972628,"score_spread":0.1950343669157595,"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."}}