{"id":"W2139472585","doi":"10.1109/glocom.2009.5425245","title":"Compressed Sensing Reception of Bursty UWB Impulse Radio is Robust to Narrow-Band Interference","year":2009,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Transmitter; Compressed sensing; Radio receiver design; Impulse (physics); WiMAX; Ultra-wideband; Electronic engineering; Demodulation; Robustness (evolution); Frequency band; Interference (communication); Wireless; Base station; Decoding methods; Real-time computing; Telecommunications; Bandwidth (computing); Engineering; Algorithm; Physics; Channel (broadcasting)","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":[0.0007227231,0.0002571697,0.0003607597,0.0001589733,0.0001352691,0.0003691269,0.0003727493,0.0003649856,0.0005552581],"category_scores_gemma":[0.003142228,0.0001330748,0.0001434403,0.0001414101,0.000579319,0.0003722958,0.0003984248,0.0004396465,0.0001386691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584716,"about_ca_system_score_gemma":0.0002184086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003867882,"about_ca_topic_score_gemma":0.0003023772,"domain_scores_codex":[0.9994167,0.0001212111,0.00001936153,0.00005827177,0.0003290831,0.00005534313],"domain_scores_gemma":[0.9986172,0.0007506521,0.0002094762,0.0001803328,0.0002017108,0.00004064856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001002614,0.0001383191,0.003351292,0.0001779352,0.00007467744,0.0004900991,0.000353555,0.2129572,0.5857734,0.01998105,0.0007271385,0.1749727],"study_design_scores_gemma":[0.00003688251,0.0003992515,0.001862403,0.00001294739,0.00002130017,0.0002900484,0.00003381239,0.8159694,0.1771494,0.003137646,0.001056988,0.00002987828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4641557,0.0002054247,0.531962,0.0003424879,0.00003982702,0.00002510044,0.00003535664,0.0004013505,0.002832692],"genre_scores_gemma":[0.9478105,0.00008411665,0.05090983,0.0000712366,0.00003655277,0.00001290348,0.00004445671,0.00002337442,0.001007111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007227231,"threshold_uncertainty_score":0.003822148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525137430385234,"score_gpt":0.2242747342262723,"score_spread":0.2090233599224199,"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."}}