{"id":"W1525067708","doi":"10.1109/sam.2002.1190991","title":"Blind adaptive beamforming for cyclostationary signals with robustness against cycle frequency mismatch","year":2003,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Cyclostationary process; Robustness (evolution); Adaptive beamformer; Beamforming; Computer science; Signal processing; Algorithm; Speech recognition; Electronic engineering; Telecommunications; Engineering","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":[0.0005908504,0.0005382592,0.0003336126,0.0005704812,0.0003220313,0.0004271218,0.0005442646,0.0007272609,0.001214762],"category_scores_gemma":[0.002596318,0.000218484,0.0002664469,0.0005750374,0.0005882714,0.0005955279,0.0005625997,0.0005336575,0.0004859086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002616863,"about_ca_system_score_gemma":0.0005790325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005908912,"about_ca_topic_score_gemma":0.0008984708,"domain_scores_codex":[0.999692,0.00009006631,0.00001799939,0.00004204701,0.0001244243,0.00003348874],"domain_scores_gemma":[0.9992112,0.0003348842,0.0001309256,0.0001177928,0.0001699741,0.00003520221],"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":[0.0008861648,0.0001168825,0.00122239,0.0002300841,0.00008254346,0.0001351328,0.0001310493,0.1549574,0.2559614,0.04327358,0.002262988,0.5407405],"study_design_scores_gemma":[0.00008776024,0.0002729234,0.0008460741,0.00002724952,0.00003409287,0.0002642904,0.00002618514,0.89807,0.08130036,0.01508706,0.003934614,0.00004931314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02228371,0.0003712449,0.9759939,0.0001057923,0.00003554313,0.00002769118,0.0000187868,0.0002708941,0.0008925862],"genre_scores_gemma":[0.4029506,0.0006267399,0.5944523,0.000134225,0.00008874289,0.000115398,0.0001092381,0.00004356485,0.001479165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001214762,"threshold_uncertainty_score":0.004063845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098986268831505,"score_gpt":0.2464551713791261,"score_spread":0.2254653086908111,"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."}}