{"id":"W3034200033","doi":"10.1007/s00034-020-01460-4","title":"An Optimization Framework for the Design of Noise Shaping Loop Filters with Improved Stability Properties","year":2020,"lang":"en","type":"article","venue":"Circuits Systems and Signal Processing","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transfer function; Semidefinite programming; Control theory (sociology); Robustness (evolution); Kalman filter; Stability (learning theory); Norm (philosophy); Lemma (botany); Mathematics; Delta-sigma modulation; Computer science; Mathematical optimization; Bandwidth (computing); Engineering; Control (management); Telecommunications","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":[0.0009400048,0.001070793,0.0007602818,0.0004512973,0.0002692265,0.0008296671,0.0006954634,0.0009503079,0.00230545],"category_scores_gemma":[0.001815763,0.0004374818,0.0005818008,0.000508173,0.0004815742,0.0006370689,0.0006600485,0.000814339,0.0004937765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004863404,"about_ca_system_score_gemma":0.0007697806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001337559,"about_ca_topic_score_gemma":0.001542162,"domain_scores_codex":[0.9996214,0.0001200716,0.00001548037,0.00005667537,0.000150683,0.00003567244],"domain_scores_gemma":[0.999661,0.0001966857,0.00003747763,0.00001912811,0.0000742091,0.00001154935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008408799,0.00006043435,0.0001313102,0.0001235673,0.00004671087,0.00005715495,0.00005631028,0.8304133,0.01365964,0.09459388,0.001730563,0.05904312],"study_design_scores_gemma":[0.000009013715,0.00002998884,0.00003173714,0.000005479862,0.000006677657,0.00001029587,0.000002639238,0.9892181,0.0007018383,0.009031584,0.0009477316,0.00000488287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001853485,0.0001103558,0.9964464,0.00004540175,0.00001265043,0.00001053344,0.00001173468,0.00004687008,0.001462534],"genre_scores_gemma":[0.3838894,0.0008891595,0.6059961,0.0002272943,0.000156189,0.000300383,0.0001443443,0.0002414886,0.008155609],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00230545,"threshold_uncertainty_score":0.007712483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08199253099546457,"score_gpt":0.2461026297488784,"score_spread":0.1641100987534138,"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."}}