{"id":"W2108113527","doi":"10.1109/icassp.2006.1660974","title":"Error Rate Analysis of Phase-Modulated OFDM (OFDM-PM) in Awgn Channels","year":2006,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Orthogonal frequency-division multiplexing; Additive white Gaussian noise; Quadrature amplitude modulation; Spectral efficiency; Modulation (music); Phase noise; Transmission (telecommunications); Bit error rate; Electronic engineering; QAM; Computer science; Telecommunications; Physics; White noise; Engineering; Decoding methods; Channel (broadcasting); Acoustics","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":[0.003664522,0.001173606,0.0008052775,0.001614455,0.0004045617,0.0009260151,0.001014043,0.0009657159,0.002395239],"category_scores_gemma":[0.01903757,0.000274711,0.0004453892,0.001096824,0.0009225787,0.001631491,0.0009011165,0.0009814935,0.0008889007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009377697,"about_ca_system_score_gemma":0.0006174783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002652007,"about_ca_topic_score_gemma":0.001138835,"domain_scores_codex":[0.9972166,0.0007083151,0.0001154933,0.0002056457,0.00139227,0.0003616314],"domain_scores_gemma":[0.9838012,0.0121923,0.001000491,0.0007702162,0.002150476,0.00008524853],"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":[0.0005546407,0.00009560533,0.00425779,0.0004296604,0.0001639612,0.0006862085,0.000374326,0.810982,0.02226343,0.1055458,0.001552062,0.05309445],"study_design_scores_gemma":[0.000006803618,0.00006869486,0.001143251,0.00003967662,0.00002514111,0.0002802168,0.00003226751,0.9847605,0.006746165,0.006103574,0.0007724523,0.00002141825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1181439,0.004025425,0.8611298,0.000484613,0.0001235269,0.00008312879,0.0003421189,0.0005335865,0.0151338],"genre_scores_gemma":[0.945919,0.003100166,0.04253452,0.0001376062,0.0002178363,0.0001453607,0.0003753181,0.0002023369,0.007367842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003664522,"threshold_uncertainty_score":0.01938009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858771325033914,"score_gpt":0.2778346857442442,"score_spread":0.2592469724939051,"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."}}