{"id":"W2137008936","doi":"10.1109/icdsp.1997.627988","title":"The multimodulus blind equalization algorithm","year":2002,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Blind equalization; Quadrature amplitude modulation; QAM; Algorithm; Constellation; Equalization (audio); Computer science; Transmission (telecommunications); Modulation (music); Constellation diagram; Telecommunications; Bit error rate; Acoustics; Decoding methods","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":[0.000989634,0.0006673704,0.0007162495,0.001025169,0.0006617759,0.00124953,0.0009721586,0.00105936,0.004519087],"category_scores_gemma":[0.002905863,0.0002316034,0.0004627447,0.0008748144,0.0006266217,0.001748675,0.001283827,0.0009154489,0.002530823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003961429,"about_ca_system_score_gemma":0.001040488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007773412,"about_ca_topic_score_gemma":0.0008101909,"domain_scores_codex":[0.9990035,0.0002268723,0.00005399636,0.0002000146,0.0004402478,0.00007542958],"domain_scores_gemma":[0.9992633,0.0002689543,0.00005537682,0.0001427079,0.0002349766,0.00003461162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001993714,0.00004458204,0.0003572284,0.0001152256,0.00006554017,0.0000521109,0.00004172507,0.03496575,0.01175084,0.05664868,0.005781027,0.8899781],"study_design_scores_gemma":[0.00007022193,0.000197339,0.0006560749,0.00004346781,0.00004944449,0.0006385904,0.00002831965,0.8526313,0.03556397,0.05440754,0.05563146,0.0000822159],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001792318,0.0003686443,0.9951057,0.00009366892,0.0001160938,0.00002926632,0.00003101779,0.0003399603,0.002123287],"genre_scores_gemma":[0.06763592,0.0007588969,0.9212772,0.0003174463,0.0002968082,0.0001246683,0.0001927709,0.0001099508,0.009286426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004519087,"threshold_uncertainty_score":0.01511782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03386249653146305,"score_gpt":0.2697406389671704,"score_spread":0.2358781424357074,"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."}}