{"id":"W2096180483","doi":"10.1155/asp.2005.3015","title":"A Low-Power Two-Digit Multi-dimensional Logarithmic Number System Filterbank Architecture for a Digital Hearing Aid","year":2005,"lang":"en","type":"article","venue":"EURASIP Journal on Advances in Signal Processing","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Filter bank; Computer science; Logarithm; Multiplication (music); Reduction (mathematics); Numerical digit; Arithmetic; Dynamic range; Computer hardware; Mathematics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003169381,0.0003276911,0.0002676851,0.0002778714,0.0002650165,0.0005507649,0.0006766291,0.0006292022,0.006276802],"category_scores_gemma":[0.0005224884,0.0001691641,0.000215161,0.0002414885,0.0002143665,0.0006636233,0.0003116276,0.0003833505,0.002504946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003301631,"about_ca_system_score_gemma":0.0003930829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003679035,"about_ca_topic_score_gemma":0.001079905,"domain_scores_codex":[0.9998668,0.00003275803,0.00001157506,0.00002947651,0.00004756126,0.00001173439],"domain_scores_gemma":[0.9998562,0.00004244564,0.00001228017,0.00002928644,0.00004393826,0.00001571818],"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":[0.0008597663,0.0001260453,0.0008416506,0.0003224349,0.00005440822,0.0006304207,0.0001775772,0.008907763,0.49491,0.01929917,0.00644214,0.4674286],"study_design_scores_gemma":[0.000480505,0.002293391,0.0036468,0.0001791936,0.0002215171,0.004789447,0.0001210324,0.5099396,0.3376569,0.008745959,0.1317934,0.0001322186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03608779,0.0004004278,0.9548585,0.0005643155,0.0002775725,0.0001011284,0.00009634677,0.001745324,0.005868608],"genre_scores_gemma":[0.3068358,0.0004651727,0.6793218,0.0006063788,0.0002142388,0.0001610802,0.0002035291,0.00007107195,0.01212108],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006276802,"threshold_uncertainty_score":0.02099806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895903974653008,"score_gpt":0.3188527664335761,"score_spread":0.299893726687046,"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."}}