{"id":"W7132886292","doi":"","title":"Differential receiver design for the Offset-QPSK modulation scheme: ISI-free and non-ISI-free receiver algorithms","year":2004,"lang":"","type":"dissertation","venue":"TSpace","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliographical Society of Canada","funders":"","keywords":"Demodulation; Differential coding; Pulse-code modulation; Viterbi algorithm; Transmission (telecommunications); Bandwidth (computing); Modulation (music); Amplifier; Raised-cosine filter; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0004814967,0.001283578,0.0009774287,0.000458399,0.0009464356,0.0003881616,0.001369595,0.001270896,0.0009294444],"category_scores_gemma":[0.0008180012,0.001225746,0.0004309674,0.0006313835,0.0002521565,0.0005616567,0.0002035321,0.001192633,0.00009116439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007230308,"about_ca_system_score_gemma":0.0002664755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004938366,"about_ca_topic_score_gemma":0.0000899233,"domain_scores_codex":[0.9955537,0.0001471677,0.001015117,0.001314256,0.0009530736,0.001016651],"domain_scores_gemma":[0.9955411,0.0008042936,0.0006054664,0.002176239,0.0005586992,0.000314189],"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":[0.004513782,0.0008437108,0.0003467611,0.005593595,0.006050522,0.00003495674,0.06208114,0.4471928,0.2059193,0.002207449,0.1322371,0.1329789],"study_design_scores_gemma":[0.01276033,0.0005872395,0.01928901,0.00168259,0.001824801,0.00006010271,0.005810967,0.8814968,0.05674262,0.01056657,0.005670826,0.003508177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2592163,0.004716846,0.7029474,0.003881303,0.01725327,0.008663395,0.000347768,0.0006053036,0.002368438],"genre_scores_gemma":[0.7930585,0.008862775,0.1271786,0.00009954359,0.006435737,0.002269241,0.002224474,0.00124157,0.05862952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5757688,"threshold_uncertainty_score":0.9999916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456328444707116,"score_gpt":0.2948908614873297,"score_spread":0.2703275770402585,"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."}}