{"id":"W640367897","doi":"10.3384/diss.diva-110398","title":"Analysis and Design of DLL-Based Frequency Synthesizers for Ultra-Wideband Communication","year":2015,"lang":"en","type":"book","venue":"Linköping University Electronic Press eBooks","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineering Link (Canada)","funders":"","keywords":"Electronic engineering; Wideband; Jitter; Sideband; Computer science; Wireless; Frequency synthesizer; Direct digital synthesizer; Phase noise; Phase-locked loop; Frequency offset; Bandwidth (computing); Ultra-wideband; Electrical engineering; Engineering; Channel (broadcasting); Telecommunications; Radio frequency; Orthogonal frequency-division multiplexing","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":[0.000229438,0.0002548328,0.0004782868,0.0003504205,0.00009986948,0.00001430231,0.0005026234,0.0003705446,0.000001803512],"category_scores_gemma":[0.00004316022,0.0003021948,0.0001219598,0.00005353964,0.0001978801,0.00006917708,0.0000457124,0.0004029873,1.987655e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005302246,"about_ca_system_score_gemma":0.0002397471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003510019,"about_ca_topic_score_gemma":0.00003758409,"domain_scores_codex":[0.9990475,0.0000475613,0.0002040062,0.0002474904,0.000132723,0.0003207688],"domain_scores_gemma":[0.9987543,0.0003829448,0.0001768859,0.0005291164,0.0001112646,0.00004552381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001211892,0.0001815937,0.0001932457,0.005414357,0.02937387,0.00003231805,0.002428636,0.4556603,0.01192659,0.3955332,0.01261615,0.08542785],"study_design_scores_gemma":[0.007775018,0.001663245,0.00001370868,0.002490836,0.02242768,0.000007934699,0.0005409806,0.1696515,0.09600963,0.1612262,0.5331004,0.005092771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00008000329,0.004631092,0.8896734,0.000009552378,0.00003626641,0.0008369653,0.0001112485,0.0005526887,0.1040688],"genre_scores_gemma":[0.3904713,0.0136841,0.07743229,0.00007558708,0.0001308054,0.00009709074,0.001102856,0.00044768,0.5165582],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8122411,"threshold_uncertainty_score":0.999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122816729511871,"score_gpt":0.2123965838204636,"score_spread":0.1911684165253449,"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."}}