{"id":"W1841961618","doi":"10.1109/uust.1985.1158540","title":"Underwater acoustic communication using sliding discrete fourier transform","year":2005,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Underwater acoustic communication; Computer science; Multipath propagation; Transmission (telecommunications); Electronic engineering; Demodulation; Diversity scheme; Orthogonal frequency-division multiplexing; Discrete Fourier transform (general); Channel (broadcasting); Underwater; Fourier transform; Engineering; Telecommunications; Short-time Fourier transform; Fourier analysis; Mathematics","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":[0.000161505,0.000130379,0.000130209,0.00006127988,0.0001493633,0.00009095257,0.0002917177,0.00006775896,0.000146765],"category_scores_gemma":[4.871481e-7,0.0001138171,0.00005665794,0.000100046,0.00001881765,0.0003500146,0.00003849627,0.0001378998,0.0000809051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231381,"about_ca_system_score_gemma":0.000007072747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000492767,"about_ca_topic_score_gemma":0.0001846418,"domain_scores_codex":[0.9992498,0.00003403562,0.0002810424,0.00009296559,0.0001239611,0.0002181624],"domain_scores_gemma":[0.9993621,0.0000304223,0.00002073948,0.0004985925,0.00002633198,0.00006187927],"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":[0.00001969097,0.00008412152,0.0005288218,0.0002230158,0.0003153312,0.000001766987,0.008176177,0.4818199,0.3974151,0.002556736,0.001017984,0.1078414],"study_design_scores_gemma":[0.0002969724,0.000007311761,0.00003726054,0.00004853729,0.00002519965,0.00001612328,0.000574094,0.9088345,0.03854193,0.0003866313,0.05097603,0.000255468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09911178,0.0005812277,0.8634716,0.0008429313,0.00003991961,0.0002246885,0.00000316357,0.0005785866,0.03514609],"genre_scores_gemma":[0.9676849,0.0001280899,0.03135101,0.00008217886,0.00005811183,0.00001300624,0.00001040181,0.00003759325,0.0006346565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8685732,"threshold_uncertainty_score":0.4641327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499936151221294,"score_gpt":0.2447317932803191,"score_spread":0.2197324317681062,"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."}}