{"id":"W4285145832","doi":"10.1109/tmtt.2022.3169205","title":"A High-Performance UWB Gaussian Pulse Generator: Analysis and Design","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Transmitter; Differentiator; Pulse generator; Amplitude; Electronic engineering; Pulse-amplitude modulation; Gaussian; Bandwidth (computing); Pulse (music); Physics; Computer science; Electrical engineering; Engineering; Optics; Voltage; Telecommunications; Jitter","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002388346,0.0002966198,0.0003066661,0.0002251884,0.0001560575,0.0005445965,0.000761068,0.0005546329,0.001369217],"category_scores_gemma":[0.0002459525,0.0001890049,0.0002191729,0.000299451,0.0001770753,0.0003945689,0.0002029835,0.000365582,0.0006539847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004145692,"about_ca_system_score_gemma":0.0004088616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002481414,"about_ca_topic_score_gemma":0.0003100374,"domain_scores_codex":[0.9997702,0.00003716823,0.00000875429,0.00004271144,0.0001241864,0.0000170676],"domain_scores_gemma":[0.9998212,0.00003800231,0.00004490167,0.00002012141,0.00006033509,0.00001539306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003289827,0.00008022102,0.001675856,0.0004816461,0.00007628943,0.0003530021,0.0001448935,0.01450236,0.8618501,0.01245604,0.001279982,0.1067706],"study_design_scores_gemma":[0.000097491,0.002316002,0.00442762,0.00006043975,0.0001134283,0.003942917,0.0000706904,0.3501177,0.6015574,0.001735687,0.03547936,0.00008131939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1254513,0.002155237,0.8606239,0.0004055036,0.0000947705,0.0002751184,0.0001573618,0.001350628,0.009486162],"genre_scores_gemma":[0.7952303,0.00117809,0.1954481,0.0001259789,0.00006461403,0.0001627804,0.0001686501,0.00007493879,0.007546427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001369217,"threshold_uncertainty_score":0.004580438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007986658819471486,"score_gpt":0.2054038315814207,"score_spread":0.1974171727619492,"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."}}