{"id":"W2128041078","doi":"10.1109/dspws.1996.555521","title":"Cumulant based phase estimation for 1-D and 2-D nonminimum phase systems by Fourier series based allpass model","year":2002,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"All-pass filter; Control theory (sociology); Mathematics; LTI system theory; Gaussian; Algorithm; Gaussian noise; Linear system; Parseval's theorem; Estimation theory; Phase (matter); Fourier series; Fourier transform; Applied mathematics; Computer science; Fourier analysis; Mathematical analysis; Physics; High-pass filter; Fractional Fourier transform; Filter (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003852329,0.0001868276,0.0002084076,0.0001286392,0.0001843992,0.0004993966,0.0002891631,0.00009486284,0.00001868468],"category_scores_gemma":[0.00004482492,0.0001691947,0.00005137628,0.0001523573,0.00005353404,0.000921381,0.00003542146,0.00006889177,0.00000645626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003074289,"about_ca_system_score_gemma":0.00005217838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001301854,"about_ca_topic_score_gemma":0.000002791968,"domain_scores_codex":[0.9987327,0.00006286832,0.0003182145,0.0003932953,0.0002574658,0.0002354942],"domain_scores_gemma":[0.9990476,0.0001329251,0.0001241239,0.0004435565,0.0001250204,0.0001267502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004165571,0.005687272,0.00002096349,0.0005959619,0.0001008159,0.00002159312,0.003509966,0.2336766,0.03407953,0.2305649,0.3988911,0.09243476],"study_design_scores_gemma":[0.002975751,0.0004236379,1.371973e-7,0.00001787448,0.000009458008,0.000004031085,0.000007706339,0.9716268,0.0185273,0.000652391,0.005536601,0.0002183243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003157345,0.00006325389,0.9922239,0.002623676,0.00005908867,0.00074993,0.00006071403,0.0005651299,0.0004970044],"genre_scores_gemma":[0.4362792,0.000002913125,0.5614334,0.00106243,0.00001495323,0.0002147047,0.00004612852,0.00001542099,0.0009308563],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7379501,"threshold_uncertainty_score":0.6899558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03997206634708959,"score_gpt":0.3103312522392346,"score_spread":0.270359185892145,"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."}}