{"id":"W2171196871","doi":"10.1109/iscas.2006.1693735","title":"Tracking broadband plane waves using 2D adaptive FIR fan filters","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Finite impulse response; Adaptive filter; Thresholding; Computer science; Broadband; Impulse (physics); Impulse response; Acoustics; Algorithm; Mathematics; Physics; Telecommunications; Computer vision","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":[0.0003639088,0.0006043505,0.0004384101,0.0007079276,0.0002405566,0.0005559487,0.0005249733,0.000658431,0.001435795],"category_scores_gemma":[0.0008739841,0.0002635168,0.0003110289,0.0004963538,0.0002618176,0.000647352,0.0004115479,0.0003950414,0.0004914791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002404119,"about_ca_system_score_gemma":0.0004500999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075987,"about_ca_topic_score_gemma":0.001765917,"domain_scores_codex":[0.9997678,0.00004286894,0.000009749121,0.00006026918,0.00009812882,0.00002120127],"domain_scores_gemma":[0.9996676,0.0001321184,0.00005176284,0.00003302242,0.00009633734,0.00001920388],"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":[0.0003739333,0.00009078245,0.001781342,0.0001265333,0.00006401265,0.0001016904,0.0001207666,0.1264376,0.1959214,0.01403619,0.001429002,0.6595168],"study_design_scores_gemma":[0.00001993182,0.00009275627,0.0006934696,0.00001156224,0.00001500177,0.0001294054,0.00001211874,0.9687432,0.02556804,0.001595511,0.003094233,0.00002465139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006098274,0.00004590291,0.992983,0.00001795293,0.00002295302,0.00001023801,0.00001373546,0.0001585697,0.0006493293],"genre_scores_gemma":[0.1141511,0.0001545534,0.8830342,0.00004131426,0.00003898193,0.00005789919,0.00007430391,0.00003123966,0.002416421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001435795,"threshold_uncertainty_score":0.004803181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364221777635755,"score_gpt":0.2359471875269948,"score_spread":0.2123049697506372,"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."}}