{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001448454,0.0001713193,0.0002073824,0.0002693728,0.0001451796,0.0003820821,0.0002323049,0.000313551,0.001944352],"category_scores_gemma":[0.0005128288,0.00009012573,0.0001149036,0.0002658021,0.0002581816,0.0006162849,0.0002990821,0.0002703892,0.0004545633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002025537,"about_ca_system_score_gemma":0.000238144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005694982,"about_ca_topic_score_gemma":0.0004361738,"domain_scores_codex":[0.9998972,0.00001549092,0.000005970661,0.00001473957,0.00005825082,0.000008272098],"domain_scores_gemma":[0.9998825,0.00004144355,0.00001597133,0.00002359415,0.00003044218,0.000006096576],"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":[0.0002031945,0.00005822815,0.00124607,0.0001534159,0.00003609532,0.000427047,0.0001810612,0.06290393,0.1730437,0.0723047,0.0039405,0.6855022],"study_design_scores_gemma":[0.00005241832,0.0002601785,0.0009656882,0.00004444619,0.00002411258,0.0006428742,0.00005444217,0.8848898,0.06108262,0.02360079,0.02834198,0.00004077126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05795125,0.001756876,0.9277518,0.0003784779,0.0002125736,0.00004973594,0.00005853277,0.000701005,0.0111397],"genre_scores_gemma":[0.7611215,0.001753008,0.2273153,0.000091132,0.0001730254,0.00006430234,0.0001093984,0.00002866918,0.009343668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001944352,"threshold_uncertainty_score":0.006504536,"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."}}