{"id":"W2158585137","doi":"10.1109/pacrim.2005.1517355","title":"A computationally efficient method for estimating the channel impulse response for the ieee 802.11B (WLAN)","year":2005,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Autocorrelation; Computer science; Impulse response; Impulse (physics); Computational complexity theory; Channel (broadcasting); Wireless; Algorithm; Direct-sequence spread spectrum; Delay spread; Electronic engineering; Spread spectrum; Telecommunications; Mathematics; Engineering; Statistics; Fading","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":[0.0005364336,0.0006923797,0.0006308191,0.0008292991,0.0004301345,0.0006792934,0.0007240843,0.000937742,0.003722635],"category_scores_gemma":[0.002496818,0.0003960934,0.0004465741,0.000613864,0.0003984578,0.0007971898,0.0006119917,0.001278499,0.002533722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003600775,"about_ca_system_score_gemma":0.001118902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002461208,"about_ca_topic_score_gemma":0.003721497,"domain_scores_codex":[0.9995489,0.0001021371,0.00001794866,0.00006355081,0.0002355305,0.00003187926],"domain_scores_gemma":[0.9992868,0.0003476423,0.00006823126,0.00009298063,0.0001818231,0.00002251458],"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":[0.0002040152,0.0001322064,0.0008922059,0.0003432243,0.00009995177,0.0002448623,0.0001396338,0.2055523,0.07290035,0.02328549,0.005529134,0.6906767],"study_design_scores_gemma":[0.00003278885,0.0000921863,0.0008053866,0.00003885712,0.00002384089,0.0005751526,0.00005573982,0.9690405,0.015601,0.006449748,0.007226073,0.00005874802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001017616,0.00007408064,0.9982342,0.00003134358,0.00002522706,0.00001793651,0.00002032264,0.0002485925,0.000330619],"genre_scores_gemma":[0.04201239,0.0002584217,0.9547254,0.00005954155,0.00005827276,0.0001204252,0.0001688547,0.00008284433,0.002513734],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003722635,"threshold_uncertainty_score":0.01245344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0540881092727264,"score_gpt":0.3799205413624974,"score_spread":0.325832432089771,"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."}}