{"id":"W2119108382","doi":"10.1109/glocom.2009.5425534","title":"A Subspace Method for the Blind Identification of Multiple Time-Varying FIR Channels","year":2009,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Subspace topology; Basis (linear algebra); A priori and a posteriori; Finite impulse response; Basis function; Algorithm; Identification (biology); Computer science; Channel (broadcasting); System identification; Consistency (knowledge bases); Flexibility (engineering); Estimation theory; Mathematics; Control theory (sociology); Artificial intelligence; Data modeling; Statistics; Telecommunications; Mathematical analysis","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":[0.0005714535,0.0008286203,0.0008428355,0.0008243247,0.0004702949,0.0005062623,0.0009195226,0.0008397371,0.002655842],"category_scores_gemma":[0.001153524,0.000297466,0.0007656457,0.0008680281,0.0006592438,0.001244178,0.0008573515,0.001111891,0.001365982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000250365,"about_ca_system_score_gemma":0.0009185873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105946,"about_ca_topic_score_gemma":0.001239684,"domain_scores_codex":[0.9994928,0.0001643929,0.0000259691,0.00008025436,0.0002007652,0.00003581446],"domain_scores_gemma":[0.9995061,0.0001851752,0.00004825796,0.00006802843,0.0001622812,0.00003008979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001808469,0.00009980203,0.00035303,0.0004112335,0.0001436524,0.0001589037,0.0001373793,0.1533293,0.07943936,0.07314187,0.004870622,0.6877341],"study_design_scores_gemma":[0.00001906368,0.00009212659,0.0001713612,0.0000157015,0.00001776731,0.0002416007,0.00001757838,0.9719305,0.01064265,0.008891151,0.007915857,0.00004456161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000554769,0.0001100305,0.9989535,0.0000172063,0.00002164886,0.000007577385,0.00001203297,0.0001204098,0.0002028255],"genre_scores_gemma":[0.04012065,0.0005245659,0.9566345,0.00004969399,0.0000819968,0.000119133,0.0001147946,0.00007158043,0.002283042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002655842,"threshold_uncertainty_score":0.008884668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03642496712074279,"score_gpt":0.3357637108527631,"score_spread":0.2993387437320203,"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."}}