{"id":"W2162424587","doi":"10.1109/isspit.2005.1577151","title":"Projection-based adaptive Am-FM chirp components signal decomposition","year":2006,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Chirp; Algorithm; SIGNAL (programming language); Subspace topology; Instantaneous phase; Frequency modulation; Projection (relational algebra); Mathematics; Rate of convergence; Amplitude; Additive white Gaussian noise; Computer science; White noise; Control theory (sociology); Statistics; Telecommunications; Radar; Physics; Radio frequency; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001894467,0.0001228633,0.0001067112,0.0001734967,0.0001482739,0.000164106,0.0003330265,0.00006248135,0.00003955704],"category_scores_gemma":[0.000002188972,0.000114747,0.00006205697,0.0003081713,0.00003141511,0.000438358,0.00005182645,0.0001080227,0.00007186034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006637841,"about_ca_system_score_gemma":0.00005566349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004726891,"about_ca_topic_score_gemma":0.00005753497,"domain_scores_codex":[0.9989356,0.000107729,0.0002105251,0.0002996708,0.000275002,0.0001715101],"domain_scores_gemma":[0.9994542,0.0000592271,0.0000896003,0.0002476097,0.0001088386,0.00004055137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001074218,0.001701525,0.003567734,0.00001895022,0.00004224644,0.00002370895,0.0005158923,0.00830195,0.07237588,0.8693438,0.02078119,0.02321968],"study_design_scores_gemma":[0.0004267104,0.000220099,0.009872464,0.00001461431,0.000003932497,0.000008214965,0.000007932897,0.8136651,0.1644696,0.009710759,0.001345597,0.0002549489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01816405,0.000006562455,0.9581215,0.0006738034,0.00006715592,0.0002794378,0.000001662013,0.0009381149,0.0217477],"genre_scores_gemma":[0.7966418,2.051408e-7,0.2024104,0.0006225377,0.00004427117,0.00002299873,0.0000186354,0.000006391097,0.0002327148],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8596331,"threshold_uncertainty_score":0.4679249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744227251222167,"score_gpt":0.2630893200940684,"score_spread":0.2456470475818468,"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."}}