{"id":"W2132730730","doi":"10.1109/ccece.1999.808066","title":"Local search algorithm for the design of multiplierless digital filters with CSD multiplier coefficients","year":2003,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Infinite impulse response; Finite impulse response; Digital filter; 2D Filters; Algorithm; Computer science; Low-pass filter; Optimization problem; Multiplier (economics); Mathematics; Linear filter; Filter design; Filter (signal processing)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002992319,0.0001421936,0.0001294213,0.00006846592,0.0001140399,0.0003135865,0.0005619645,0.00002717391,0.00000975295],"category_scores_gemma":[0.00002238477,0.00008500003,0.00005259219,0.0003076356,0.0001332177,0.0006837847,0.00007053259,0.00005146393,0.00001268419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003016474,"about_ca_system_score_gemma":0.00008848013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007585531,"about_ca_topic_score_gemma":9.930163e-7,"domain_scores_codex":[0.998741,0.00004192974,0.0002222577,0.0003007112,0.0003701897,0.0003238675],"domain_scores_gemma":[0.9988065,0.0005298527,0.00005606582,0.0003647829,0.0001657055,0.00007709461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003717611,0.0002227362,0.0001417456,0.00001287786,0.00006573212,0.000002534317,0.0007696317,0.01922675,0.0002971671,0.01043018,0.0007624797,0.968031],"study_design_scores_gemma":[0.00146877,0.0004254425,0.0001248877,0.00001090375,0.000006982626,0.00001092812,0.0005662573,0.9690623,0.0265357,0.0001710531,0.00144471,0.0001721135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003808021,0.00001100438,0.9976255,0.0000485529,0.00009201671,0.0008551124,0.00002482745,0.00004702164,0.0009152045],"genre_scores_gemma":[0.73905,0.000001152163,0.2602604,0.0001121795,0.000006349136,0.00005198309,0.00000746468,0.00001186333,0.0004985852],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9678589,"threshold_uncertainty_score":0.3466201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04191664322989968,"score_gpt":0.2716643847841786,"score_spread":0.2297477415542789,"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."}}