{"id":"W4415725492","doi":"10.1007/978-3-032-03711-4_17","title":"Application of Adaptive PSO Algorithm in Design of FIR Filters","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Finite impulse response; Particle swarm optimization; Adaptive filter; Inertia; Impulse (physics); Infinite impulse response; Range (aeronautics); Digital filter","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002485679,0.000263871,0.0004118948,0.0006753277,0.00001633655,0.000009190252,0.0006793074,0.000183373,0.000003265597],"category_scores_gemma":[0.00002873266,0.0002801401,0.00004848493,0.0003727338,0.0003290543,0.0001172671,0.0002006392,0.0003634588,8.857361e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002427545,"about_ca_system_score_gemma":0.0000811295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001757612,"about_ca_topic_score_gemma":0.000009905879,"domain_scores_codex":[0.9986876,0.00001220612,0.0003997732,0.0004215766,0.0002610836,0.0002177154],"domain_scores_gemma":[0.998976,0.0003026616,0.0001301637,0.0004615299,0.0001017306,0.00002790576],"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":[0.000004328216,0.000005711221,0.000004727599,0.00005281146,0.00000516615,0.000002902074,0.00008975444,0.5049904,0.002115309,0.000806326,0.000004981547,0.4919176],"study_design_scores_gemma":[0.00008789636,0.00008637488,0.00006656975,0.0006741922,0.000003951713,0.000002019398,1.424231e-7,0.913324,0.03683937,0.04859127,0.00009973747,0.0002244632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000008417075,0.0002491049,0.9984023,0.000009830852,0.0001646638,0.0004545371,0.00002212208,0.0001143098,0.0005747359],"genre_scores_gemma":[0.07526343,0.00005483589,0.9245408,0.00002471566,0.00003637964,0.00002277534,0.000003872372,0.00002418122,0.00002904068],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4916931,"threshold_uncertainty_score":0.9999651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460680922396353,"score_gpt":0.2375905904550407,"score_spread":0.2229837812310771,"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."}}