{"id":"W2170073136","doi":"10.1109/icc.1988.13698","title":"Nonlinear adaptive filtering for echo cancellation","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Nonlinear system; Convergence (economics); Computer science; Adaptive filter; Table (database); Echo (communications protocol); Volterra series; SIGNAL (programming language); Control theory (sociology); Algorithm; Artificial intelligence; Data mining","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":[0.0002353972,0.0004139975,0.000314806,0.0003886181,0.0002642656,0.0005783822,0.0003691512,0.0006742066,0.00777428],"category_scores_gemma":[0.0007880402,0.0001454898,0.0002324618,0.0005520089,0.0004392601,0.0007530144,0.0003986497,0.001042555,0.00340692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003510415,"about_ca_system_score_gemma":0.000269711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006857102,"about_ca_topic_score_gemma":0.001133397,"domain_scores_codex":[0.9998199,0.00003535423,0.00000762214,0.00003049615,0.00009476662,0.00001180637],"domain_scores_gemma":[0.9998608,0.00005480372,0.00001060313,0.00001827795,0.00005003731,0.000005503488],"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":[0.00007829018,0.00005327081,0.0002806544,0.0005291032,0.00004881105,0.0001974421,0.0001462878,0.03976685,0.05033113,0.4152493,0.02649014,0.4668287],"study_design_scores_gemma":[0.00002492632,0.0001405417,0.0005799156,0.0002031302,0.00003960238,0.000675982,0.00006847012,0.3738182,0.02018113,0.2910526,0.3131533,0.00006208721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003349034,0.01482465,0.930369,0.001340222,0.0009806633,0.00003822296,0.00005562537,0.000402814,0.04863967],"genre_scores_gemma":[0.180038,0.04034849,0.6116897,0.002068805,0.002193025,0.0001845628,0.0003500324,0.0002394256,0.162888],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00777428,"threshold_uncertainty_score":0.02600759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366942337242913,"score_gpt":0.2474083641398373,"score_spread":0.2237389407674082,"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."}}