{"id":"W2115154856","doi":"10.1109/mwscas.2004.1354238","title":"Carrier frequency offset estimation for OFDM systems with I/Q imbalance","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Carrier frequency offset; Frequency offset; Demodulation; Computer science; Offset (computer science); Electronic engineering; Computational complexity theory; Algorithm; Quadrature amplitude modulation; Amplitude; Bit error rate; Telecommunications; Engineering; Physics; 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":[0.0004209902,0.0003932146,0.0003276552,0.0005002913,0.0004202916,0.0003979537,0.000277272,0.000368819,0.0004768457],"category_scores_gemma":[0.002078741,0.0001994285,0.0001216213,0.0003509662,0.000252454,0.0007456065,0.0003553544,0.0004346927,0.0001949326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002702206,"about_ca_system_score_gemma":0.0006231436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001111402,"about_ca_topic_score_gemma":0.001339412,"domain_scores_codex":[0.9997932,0.00004905678,0.00001803663,0.00003229469,0.000084663,0.0000228532],"domain_scores_gemma":[0.9995071,0.0002436405,0.00008496314,0.00003750511,0.0001098553,0.00001695624],"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":[0.0005505686,0.00009335329,0.004781786,0.000136018,0.000048531,0.0002146842,0.0001801778,0.1205653,0.09905306,0.009344976,0.001020186,0.7640114],"study_design_scores_gemma":[0.00006639092,0.0001743964,0.002311389,0.0000221948,0.0000385373,0.0003228835,0.00003933866,0.9376222,0.05339662,0.003443505,0.002537399,0.00002513373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0430424,0.0003737543,0.9557902,0.00007218398,0.00003006081,0.00001871414,0.00001010199,0.0001683147,0.0004943655],"genre_scores_gemma":[0.6129904,0.0004928083,0.3851463,0.00004574678,0.00007573925,0.00003969423,0.0000506732,0.00002504528,0.001133632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001111402,"threshold_uncertainty_score":0.002226412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007906587774914514,"score_gpt":0.2132750538140497,"score_spread":0.2053684660391352,"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."}}