{"id":"W2155213659","doi":"10.1109/lsp.2006.884038","title":"Time Delay Estimation via Minimum Entropy","year":2007,"lang":"en","type":"article","venue":"IEEE Signal Processing Letters","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Multilateration; Computer science; Algorithm; Reverberation; Entropy (arrow of time); Additive white Gaussian noise; Gaussian; Speech recognition; White noise; Mathematics; Telecommunications; Acoustics","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":[0.0006157917,0.0005832913,0.000814846,0.0009428536,0.0002669267,0.0007909521,0.0005524795,0.0006331079,0.001572373],"category_scores_gemma":[0.003616367,0.0004216416,0.0004332702,0.0007222143,0.0005029296,0.001451877,0.000932792,0.0006380889,0.0004226938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004881767,"about_ca_system_score_gemma":0.0005630787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053452,"about_ca_topic_score_gemma":0.0007639141,"domain_scores_codex":[0.9996471,0.0001052751,0.00002101714,0.00007439663,0.000122217,0.00002996797],"domain_scores_gemma":[0.9990104,0.0006898823,0.0001064032,0.00006122012,0.0001033464,0.00002870763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001560721,0.00002965083,0.0009642286,0.0001444727,0.00005594251,0.0001344371,0.00006521768,0.7700758,0.0111205,0.05729089,0.001664277,0.1582985],"study_design_scores_gemma":[0.00000650831,0.0000126254,0.0002085484,0.000006291734,0.000004441321,0.00003584203,0.000003258725,0.9832783,0.001804268,0.01416326,0.0004672246,0.000009423149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006744727,0.0001727238,0.9920937,0.00007888838,0.00001478014,0.000009194219,0.000035024,0.0001147191,0.0007362523],"genre_scores_gemma":[0.524829,0.0008897785,0.4689546,0.00008086755,0.0001813299,0.000112431,0.0004468184,0.0001608243,0.004344318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001572373,"threshold_uncertainty_score":0.00526011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008847824756960781,"score_gpt":0.2346610019047672,"score_spread":0.2258131771478064,"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."}}