{"id":"W2161141708","doi":"10.1109/icassp.1997.599529","title":"L/sub p/ norm design of weighted order statistic filters","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Norm (philosophy); Statistic; Order statistic; Algorithm; Mathematics; Filter design; Boolean function; Adaptive filter; Computer science; Discrete mathematics; Filter (signal processing); Applied mathematics; Statistics","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":[0.00003491062,0.0001173714,0.0001335856,0.00007223548,0.00001411891,0.000005487427,0.0001063154,0.00003701142,0.0007284135],"category_scores_gemma":[0.0000242847,0.0001118779,0.00001761914,0.0001615261,0.00003247804,0.0001002873,0.00001891246,0.00007294122,0.00005624949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003760932,"about_ca_system_score_gemma":0.000002020241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003728626,"about_ca_topic_score_gemma":0.000001338337,"domain_scores_codex":[0.9994668,0.00001129937,0.0001659346,0.00009989459,0.00009125296,0.0001647928],"domain_scores_gemma":[0.9996349,0.00007994258,0.00002138749,0.0001827232,0.00004373072,0.00003731394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003139378,0.0001519079,0.0001494587,0.0003320377,0.0002211192,0.00006432441,0.000709734,0.1596937,0.6414322,0.01334087,0.08703516,0.09683803],"study_design_scores_gemma":[0.0002365528,0.0001199226,0.0001887325,0.00004588839,0.00001177547,0.00000688532,0.00001371773,0.6681635,0.3252647,0.003005126,0.002615331,0.0003279128],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002258731,0.00007159112,0.9912664,0.000009581962,0.00005406338,0.0001363702,0.00001310425,0.0007828739,0.005407301],"genre_scores_gemma":[0.4499817,0.00008883552,0.549509,0.00001645838,0.00001153691,0.00001757113,0.000002620978,0.0000323423,0.0003398262],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5084698,"threshold_uncertainty_score":0.7975616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529902080153713,"score_gpt":0.2154131406771423,"score_spread":0.1901141198756052,"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."}}