{"id":"W114162058","doi":"10.1007/1-4020-7769-6_5","title":"Adaptive Algorithms for Mimo Acoustic Echo Cancellation","year":2004,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Echo (communications protocol); MIMO; Computer science; Adaptive filter; Impulse response; Algorithm; Impulse (physics); Speech recognition; Acoustics; Telecommunications; Mathematics; Physics; Channel (broadcasting); Computer network","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004427847,0.0004497407,0.0003705533,0.0001470433,0.00004551253,0.00001726908,0.0001667917,0.0003722663,0.0002245992],"category_scores_gemma":[0.000008112456,0.0004862627,0.000141511,0.00001979139,0.00004563662,0.0001009601,0.00002626815,0.0002941847,0.00003632056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007228414,"about_ca_system_score_gemma":0.00004373936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009330069,"about_ca_topic_score_gemma":0.00003323207,"domain_scores_codex":[0.9989432,0.000001609585,0.0002862597,0.0003396348,0.0001536942,0.0002756452],"domain_scores_gemma":[0.9993792,0.00006303862,0.00007432018,0.0003032068,0.0001090883,0.00007115953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006296895,0.00001487409,2.772513e-7,0.0006261123,0.0004385331,0.00003553309,0.0001483192,0.4878039,0.003826807,0.3490847,0.009374151,0.1485839],"study_design_scores_gemma":[0.0008398787,0.000479616,0.000007360011,0.001368123,0.0002163391,0.00001607914,0.00001868072,0.1623949,0.01174122,0.6233959,0.1970082,0.002513692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[3.452246e-7,0.0002776868,0.6230218,0.000005231561,0.0002412496,0.0005627929,0.0001545696,0.001278937,0.3744574],"genre_scores_gemma":[0.009797269,0.0005293777,0.6359087,0.00004270121,0.0007746884,0.0002393372,0.0001473434,0.0004122198,0.3521484],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3254089,"threshold_uncertainty_score":0.9997589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03262635296509248,"score_gpt":0.2503794740854476,"score_spread":0.2177531211203551,"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."}}