{"id":"W3114071090","doi":"10.1109/tsp.2021.3105921","title":"Unambiguous Delay-Doppler Recovery From Random Phase Coded Pulses","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Horizon 2020 Framework Programme; National Natural Science Foundation of China; Air Force Office of Scientific Research; European Commission","keywords":"Nyquist–Shannon sampling theorem; Doppler effect; Algorithm; Pulse repetition frequency; Computer science; Signal-to-noise ratio (imaging); Mathematics; Upper and lower bounds; Radar; Telecommunications; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006166859,0.0002513735,0.0002989402,0.0001188791,0.0002257771,0.0001650188,0.0001170877,0.0001349465,0.0003570915],"category_scores_gemma":[0.000003126429,0.0002669949,0.0001443895,0.0002975703,0.00004227642,0.0002939485,0.000001218993,0.000368802,0.00003477502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007061334,"about_ca_system_score_gemma":0.00007429531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003638625,"about_ca_topic_score_gemma":0.00003033649,"domain_scores_codex":[0.9988208,0.00005005599,0.0003024225,0.0003174063,0.0002272675,0.0002819776],"domain_scores_gemma":[0.9993976,0.0001120977,0.00004257248,0.0002271368,0.0001271724,0.00009346769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003248637,0.0002885833,0.000001083084,0.00003716761,0.0001821648,0.0002280694,0.0002333128,0.2012229,0.3218324,0.000002125805,0.00108328,0.4745641],"study_design_scores_gemma":[0.001675405,0.00005903942,0.000002619339,0.0002683167,0.0001086636,0.00006605481,0.00006096437,0.1658174,0.8299821,0.001007826,0.0006246294,0.0003269303],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07177803,0.001040186,0.9245762,0.00004953291,0.0003207754,0.0001076111,0.00005793995,0.00101699,0.001052801],"genre_scores_gemma":[0.9932097,0.0001582367,0.006069714,0.000183923,0.000110785,0.00002923316,0.00001899497,0.0000689193,0.0001505192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9214317,"threshold_uncertainty_score":0.9999782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232189231362116,"score_gpt":0.2554448069034277,"score_spread":0.2331229145898065,"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."}}