{"id":"W2122053456","doi":"","title":"A cross-relation based affine projection algorithm for blind SIMO system identification","year":2011,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Algorithm; Affine transformation; Computational complexity theory; Rate of convergence; Projection (relational algebra); Convergence (economics); Mathematics; Adaptive filter; Computer science; Relation (database); System identification; Mathematical optimization; Data modeling; Channel (broadcasting)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008229231,0.0001039305,0.00009611013,0.0002210516,0.0001530359,0.0002564731,0.000323006,0.0001081631,0.00002029637],"category_scores_gemma":[0.00003063049,0.0000975236,0.00006460873,0.0003826674,0.00002102885,0.0009789756,0.00003342758,0.00006359276,0.00003905113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008371437,"about_ca_system_score_gemma":0.00007177483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000595553,"about_ca_topic_score_gemma":0.00001159483,"domain_scores_codex":[0.9989084,0.0000637332,0.0003412327,0.0003527054,0.0001936361,0.000140282],"domain_scores_gemma":[0.9989679,0.00004912442,0.0001896338,0.0004122406,0.0003421202,0.00003897085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008894294,0.0005281298,0.0008323985,0.0001497879,0.00004358979,0.000002000347,0.003494749,0.0002659646,0.00529391,0.4760914,0.001474657,0.5117345],"study_design_scores_gemma":[0.0005097209,0.000104456,0.003164357,0.00001255495,0.000005872731,0.000003096168,0.00002828042,0.9151492,0.07934897,0.0008712959,0.0006724323,0.000129718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001979635,0.000005041956,0.9910411,0.00009433637,0.0002427378,0.0009560984,0.000003378078,0.001225136,0.004452558],"genre_scores_gemma":[0.4854096,3.226239e-7,0.5130036,0.00007804572,0.00004405586,0.0002636319,0.00002005496,0.000009393118,0.001171275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9148833,"threshold_uncertainty_score":0.3976897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04949023430120057,"score_gpt":0.3038041116673278,"score_spread":0.2543138773661272,"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."}}