{"id":"W4242892308","doi":"10.1109/ecwt.2005.1617721","title":"DSP-Based Technique for Power Efficiency Improvement in Low-IF 5 GHz WLAN Transmitter","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Oversampling; Transmitter; Amplifier; Predistortion; Clipping (morphology); Electronic engineering; Power (physics); Electrical engineering; Electrical efficiency; Computer science; SIGNAL (programming language); Engineering; CMOS; Channel (broadcasting); Physics","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":[0.0002050661,0.0002573171,0.000178382,0.0003245259,0.0001662059,0.0002769481,0.0003969805,0.0002340017,0.002229698],"category_scores_gemma":[0.0003902125,0.0001387538,0.0001839208,0.0002299266,0.0001965702,0.0003355078,0.0002005553,0.0003623088,0.0007061686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001622176,"about_ca_system_score_gemma":0.0001904248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001578779,"about_ca_topic_score_gemma":0.0003365491,"domain_scores_codex":[0.9998388,0.00002612412,0.00001012417,0.00001947458,0.00008919852,0.0000162338],"domain_scores_gemma":[0.9998451,0.00004864813,0.00002333936,0.00001857995,0.00005666342,0.000007614406],"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":[0.0001590315,0.00005905062,0.000501219,0.0001798756,0.00002426897,0.0001800243,0.00008282407,0.005557213,0.8380327,0.004599249,0.0004765185,0.1501481],"study_design_scores_gemma":[0.00004232575,0.0005676413,0.001778766,0.0000350138,0.00005041295,0.0009134062,0.00004082619,0.08571021,0.8938531,0.001095268,0.01589299,0.00001997598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1157226,0.0006183815,0.8750066,0.000173561,0.00005932515,0.00006095489,0.00003115507,0.000631217,0.007696217],"genre_scores_gemma":[0.7076516,0.0007885349,0.2821479,0.0001386996,0.0001044335,0.0000562013,0.0001012586,0.00006347807,0.008947913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002229698,"threshold_uncertainty_score":0.007459044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00444810683674091,"score_gpt":0.2077627124372645,"score_spread":0.2033146056005236,"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."}}