{"id":"W2147396212","doi":"10.1109/acssc.1993.342303","title":"Block transforms for cancellation of acoustic echoes","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":"McMaster University","funders":"","keywords":"Echo (communications protocol); Filter bank; Block (permutation group theory); Computer science; Aliasing; Filter (signal processing); Sampling (signal processing); Algorithm; Speech recognition; Anti-aliasing filter; Filter design; Mathematics; Root-raised-cosine filter; Computer vision; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002377058,0.0004810058,0.000293273,0.0003726306,0.0001704003,0.000433366,0.0003150765,0.0005256728,0.006493786],"category_scores_gemma":[0.001265417,0.0002115045,0.0002566458,0.0005442086,0.0002590278,0.0008464375,0.0004564862,0.0007370994,0.002750953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001928241,"about_ca_system_score_gemma":0.0002877797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008589967,"about_ca_topic_score_gemma":0.001164594,"domain_scores_codex":[0.9997663,0.0000517303,0.000009126891,0.00002505116,0.0001325153,0.00001523042],"domain_scores_gemma":[0.9996672,0.0001678378,0.00002802827,0.00004485435,0.00008002936,0.0000120589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000425881,0.00006772316,0.0002743246,0.0002298231,0.00004782556,0.0002015712,0.0001593252,0.06223505,0.232942,0.1259556,0.01061062,0.5668502],"study_design_scores_gemma":[0.00004907305,0.0001734946,0.0004421927,0.00002439719,0.00003164755,0.0004613738,0.00002293426,0.8477779,0.07850437,0.03026839,0.04221006,0.00003422488],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006005895,0.0006784785,0.9901549,0.00009617175,0.0000774562,0.00002455146,0.0000446221,0.0004150336,0.002502961],"genre_scores_gemma":[0.1196668,0.002975933,0.8502131,0.0001714401,0.0001842349,0.0001339229,0.0004020473,0.0003294355,0.02592311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006493786,"threshold_uncertainty_score":0.02172387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025273750801095,"score_gpt":0.217795483750986,"score_spread":0.1975427462429751,"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."}}