{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004573386,0.0001184955,0.0001234996,0.00003510172,0.00003417496,0.00002456057,0.00007416758,0.00004492053,0.000009471264],"category_scores_gemma":[0.0000136807,0.00009974332,0.0000189077,0.00009573172,0.00001603974,0.0002010409,0.00000298285,0.0000543064,0.00001996855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001167045,"about_ca_system_score_gemma":0.00002216674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002967466,"about_ca_topic_score_gemma":0.00001947914,"domain_scores_codex":[0.9994453,0.00000335813,0.0001373612,0.0001274056,0.00009606851,0.0001905497],"domain_scores_gemma":[0.999661,0.00002507901,0.00001979212,0.0001942483,0.0000464036,0.00005347734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006102936,0.000005509055,0.00014795,0.0001051831,0.00002135289,0.000002212983,0.0001034106,0.9819656,0.00149516,0.01527439,0.0006545664,0.0002185637],"study_design_scores_gemma":[0.004794461,0.0005906606,0.00164497,0.0006768701,0.000109536,0.0001763075,0.0004189435,0.9189956,0.03202024,0.02992145,0.008716337,0.001934688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003969302,0.0002078173,0.990421,0.00002862139,0.0002633271,0.0004343422,0.00003651614,0.0004456697,0.004193398],"genre_scores_gemma":[0.8870128,0.000003876439,0.1124993,0.00002005754,0.00004440382,0.0001354558,0.0000202517,0.00003588446,0.0002279436],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8830435,"threshold_uncertainty_score":0.4067415,"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."}}