{"id":"W4238795354","doi":"10.1109/icce.2003.1218933","title":"A channel characterization technique using frequency-domain pilot time-domain correlation method for DVB-T systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Frequency domain; Time domain; Channel (broadcasting); Computer science; Pilot signal; Impulse response; SIGNAL (programming language); Algorithm; Impulse (physics); Correlation; Electronic engineering; Telecommunications; Mathematics; Engineering; Physics","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":[0.0003196144,0.0003894438,0.0002881426,0.0006684204,0.0003161652,0.0004699191,0.0003527073,0.0004149038,0.0009745822],"category_scores_gemma":[0.0009551916,0.0002511224,0.0002934917,0.0005131816,0.0003650504,0.0006584215,0.0003568961,0.0005846945,0.0003634558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002993482,"about_ca_system_score_gemma":0.0007734383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409388,"about_ca_topic_score_gemma":0.001319474,"domain_scores_codex":[0.9996868,0.0000715588,0.00001288215,0.00004590625,0.0001562635,0.00002666059],"domain_scores_gemma":[0.9994738,0.0001438604,0.00009235671,0.00006174596,0.0002017891,0.00002653954],"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":[0.000339714,0.00008313791,0.001826919,0.0003498705,0.00007012948,0.0003743313,0.0001858104,0.0506443,0.3558797,0.01537465,0.003070622,0.5718009],"study_design_scores_gemma":[0.00007533426,0.0005440059,0.003620923,0.00004720371,0.00006239852,0.001711086,0.00007967666,0.7574707,0.217289,0.002619367,0.01633957,0.000140806],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01197209,0.0003396891,0.9864008,0.00006431431,0.00004875634,0.00003494618,0.00002080334,0.0003015943,0.0008169294],"genre_scores_gemma":[0.3213075,0.0008792302,0.6747149,0.00006926842,0.0000923081,0.0001012235,0.0001061803,0.00004809174,0.002681345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001409388,"threshold_uncertainty_score":0.003260374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824006863637036,"score_gpt":0.2567727882930046,"score_spread":0.2285327196566342,"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."}}