{"id":"W2913728456","doi":"10.1109/icdsp.2018.8631686","title":"Sparse 2-D FIR Filter Design using Iterative CSA","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Cuckoo search; Finite impulse response; Algorithm; Filter (signal processing); Iterative method; Descendant; Filter design; Computer science; Mathematics; Computer vision; Particle swarm optimization","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":[0.000374342,0.0006273524,0.0004425752,0.0004076833,0.0003085242,0.0004902866,0.00050258,0.0006731443,0.001774968],"category_scores_gemma":[0.0009878371,0.0003174341,0.000446155,0.0004771284,0.0002812484,0.0006124589,0.0003439176,0.0004595899,0.0007030924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000383247,"about_ca_system_score_gemma":0.0007224287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001434985,"about_ca_topic_score_gemma":0.002617989,"domain_scores_codex":[0.9997264,0.00006480994,0.00001767289,0.00004870668,0.0001208304,0.00002164325],"domain_scores_gemma":[0.9996238,0.0001261789,0.00004955268,0.00004455883,0.0001423379,0.00001364701],"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":[0.0002325435,0.00008385729,0.0008085427,0.0002894993,0.0001063497,0.0001405426,0.0002452269,0.5014158,0.1613729,0.02382292,0.002282873,0.309199],"study_design_scores_gemma":[0.00001597922,0.0001056864,0.0001612039,0.00001158892,0.00001222192,0.00008002098,0.00001179585,0.9804996,0.01501361,0.001286829,0.002789577,0.00001189512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005770809,0.00005826799,0.9927121,0.00003261687,0.00001380599,0.00002328004,0.00001247491,0.0001977271,0.001178858],"genre_scores_gemma":[0.2107753,0.000180739,0.7864264,0.00007645032,0.0000296605,0.0001838017,0.0001013104,0.00005244177,0.002173803],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001774968,"threshold_uncertainty_score":0.005937874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07241142677261891,"score_gpt":0.2814936184328667,"score_spread":0.2090821916602478,"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."}}