{"id":"W1611045806","doi":"10.1109/mwsym.1996.510992","title":"Digital implementations of adaptive feedforward amplifier linearization techniques","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Feed forward; Linearization; Computer science; Amplifier; Control theory (sociology); Electronic engineering; Distortion (music); Power (physics); Digital control; Adaptive control; Control engineering; Engineering; Nonlinear system; Bandwidth (computing); Control (management); Telecommunications; Artificial intelligence","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":[0.0001781362,0.0004666805,0.0001386535,0.0002838355,0.000211543,0.0005339546,0.0007465969,0.0004793644,0.003686544],"category_scores_gemma":[0.0007307132,0.000168868,0.0001701284,0.0002307407,0.0002332183,0.0005982501,0.0002933943,0.0004852345,0.0007008791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002145158,"about_ca_system_score_gemma":0.0002716967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005776712,"about_ca_topic_score_gemma":0.001063566,"domain_scores_codex":[0.9998208,0.00002897366,0.0000125979,0.00002639345,0.00009034849,0.00002095876],"domain_scores_gemma":[0.9997702,0.00007710197,0.00002357252,0.00003170299,0.00008716557,0.0000103079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002693846,0.000145158,0.0006519796,0.000373945,0.00007490392,0.0001859255,0.0001568799,0.04723794,0.2426275,0.03517265,0.0024786,0.6706251],"study_design_scores_gemma":[0.0001481477,0.0008257215,0.001336936,0.0000993327,0.000100635,0.000742447,0.0000554421,0.6748499,0.2723474,0.01224487,0.03718368,0.00006554543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01675558,0.000414863,0.9748706,0.0001164844,0.0001066577,0.0000644522,0.00003263389,0.001044108,0.006594646],"genre_scores_gemma":[0.6619118,0.0006518993,0.3255596,0.0002241038,0.0001050346,0.0001680536,0.0001025586,0.00003975227,0.01123717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003686544,"threshold_uncertainty_score":0.01233274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335210565299171,"score_gpt":0.232043924067166,"score_spread":0.2086918184141743,"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."}}