{"id":"W2145660355","doi":"10.1109/mwscas.2005.1594354","title":"Error analysis of FIR filters implemented with 1-digit 2-dimensional logarithmic number systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Finite impulse response; Logarithm; Digital filter; Algorithm; Variance (accounting); Filter (signal processing); Computer science; Reduction (mathematics); Impulse (physics); Linear filter; Arithmetic; Mathematics","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":[0.001288109,0.0004369706,0.0003270264,0.0007547681,0.0002106883,0.0004107606,0.000444309,0.0005108146,0.00139886],"category_scores_gemma":[0.007798477,0.0001592974,0.0002276577,0.0005690437,0.0002898987,0.0007008657,0.0002204911,0.0003030841,0.0001932032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007025261,"about_ca_system_score_gemma":0.0003086445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009230162,"about_ca_topic_score_gemma":0.001024785,"domain_scores_codex":[0.9988565,0.0002422893,0.00006480235,0.0001299965,0.0006333475,0.00007306201],"domain_scores_gemma":[0.9925383,0.005553063,0.0005376861,0.0004189501,0.0009128407,0.00003927408],"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":[0.002401009,0.0001988268,0.008812307,0.0003501132,0.0001249819,0.0003823991,0.0003549734,0.579417,0.1890304,0.02408153,0.0008161411,0.1940303],"study_design_scores_gemma":[0.00002036479,0.0001416186,0.002549915,0.00001666723,0.00001177599,0.0001179629,0.0000169795,0.9455878,0.04946629,0.001538424,0.0005096227,0.00002251784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6003884,0.0006085585,0.3944927,0.0001912577,0.00007399255,0.00002587679,0.00008250719,0.0007291863,0.003407636],"genre_scores_gemma":[0.9530492,0.0001435916,0.04513101,0.00003727786,0.00001554224,0.00002169947,0.00008448162,0.00006396492,0.001453258],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00139886,"threshold_uncertainty_score":0.006812274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064610220527882,"score_gpt":0.3031119482476305,"score_spread":0.2824658460423517,"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."}}