{"id":"W3002578304","doi":"10.1109/tit.2020.2999889","title":"On the Capacity of Waveform Channels Under Square-Law Detection of Time-Limited Signals","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Upper and lower bounds; Waveform; Channel capacity; Channel (broadcasting); Detection theory; Signal-to-noise ratio (imaging); Cramér–Rao bound; SIGNAL (programming language)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003466898,0.00169284,0.00123226,0.003008506,0.0006760226,0.003827947,0.00142441,0.001360944,0.008024472],"category_scores_gemma":[0.0280118,0.0005815252,0.0006390117,0.00246059,0.004956955,0.005591208,0.003296144,0.002988279,0.001421172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334476,"about_ca_system_score_gemma":0.001300904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00214883,"about_ca_topic_score_gemma":0.001233871,"domain_scores_codex":[0.9972677,0.0007109258,0.00008386494,0.0002989508,0.0009522198,0.00068633],"domain_scores_gemma":[0.9657129,0.02852009,0.001222344,0.001331877,0.002756487,0.0004563558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005117938,0.0001088818,0.0008878902,0.0005819406,0.00009720642,0.0004531869,0.0005151022,0.2964341,0.0168305,0.6222138,0.007046014,0.05431954],"study_design_scores_gemma":[0.00002900426,0.00008815445,0.0009732461,0.0003013961,0.00003960218,0.0003452232,0.000168663,0.600338,0.006010605,0.3880756,0.003512215,0.0001184045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1075235,0.01059902,0.7945599,0.002611025,0.0004239206,0.0001163063,0.001380609,0.0006999388,0.08208574],"genre_scores_gemma":[0.9501443,0.008831305,0.03138691,0.0005614617,0.0009514013,0.0004252719,0.0009828095,0.0002367137,0.006479794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008024472,"threshold_uncertainty_score":0.02684456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598496594694875,"score_gpt":0.1882961763808429,"score_spread":0.1723112104338941,"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."}}