{"id":"W3102067277","doi":"10.1109/tcsii.2020.3037808","title":"Hybrid Harmonic Cancellation Digital Predistortion With a Feedback Loop Compensation","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Predistortion; Adjacent channel power ratio; Harmonics; Electronic engineering; Amplifier; Compensation (psychology); Computer science; Control theory (sociology); Harmonic; Total harmonic distortion; Engineering; Electrical engineering; Physics; Acoustics; CMOS; Voltage","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":[0.0001731996,0.0004764907,0.0002897418,0.0004177082,0.0003423398,0.0004092781,0.0005816555,0.0004797369,0.002379005],"category_scores_gemma":[0.0003084242,0.0002112439,0.0002428355,0.0003597281,0.0002119118,0.0004472052,0.0003051522,0.0004764641,0.0005671835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003588981,"about_ca_system_score_gemma":0.0003457039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009071862,"about_ca_topic_score_gemma":0.001650436,"domain_scores_codex":[0.9997287,0.00002080463,0.00001423155,0.00005146053,0.0001610704,0.0000237052],"domain_scores_gemma":[0.9998012,0.00005432751,0.0000266947,0.00002943651,0.00007925167,0.000009073583],"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":[0.0001996315,0.00007828476,0.0005390008,0.0002504625,0.00004382792,0.0001716928,0.0001218253,0.009702831,0.743012,0.004734213,0.002003693,0.2391425],"study_design_scores_gemma":[0.00009043374,0.000669159,0.001536882,0.00002772419,0.00005407043,0.001205391,0.00003679092,0.2207076,0.7462354,0.001203149,0.02816061,0.0000726826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07898937,0.001073307,0.9098834,0.0002113394,0.000269742,0.0001443651,0.0001381691,0.002351087,0.006939304],"genre_scores_gemma":[0.6184113,0.0005945339,0.3701501,0.0002695349,0.0001183429,0.0001194385,0.0001788124,0.00005532047,0.01010265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002379005,"threshold_uncertainty_score":0.007958531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008232629681726,"score_gpt":0.1996268273314238,"score_spread":0.1795445010346065,"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."}}