{"id":"W2147213649","doi":"10.1109/tcomm.2004.838739","title":"Parametric Construction of Nyquist-I Pulses","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Optical Network Technologies","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Nyquist ISI criterion; Intersymbol interference; Pulse shaping; Raised-cosine filter; Nyquist–Shannon sampling theorem; Bandwidth (computing); Parametric statistics; Nyquist frequency; Mathematics; Nyquist stability criterion; Pulse (music); Frequency domain; Optics; Electronic engineering; Algorithm; Telecommunications; Computer science; Physics; Mathematical analysis; Engineering; Low-pass filter; Statistics","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":[0.00005110914,0.0001062057,0.0001406618,0.00026928,0.0001291421,0.00001311298,0.0004673857,0.0001074764,0.00002706701],"category_scores_gemma":[0.00001230152,0.0001155538,0.00007424627,0.0008712357,0.0003518297,0.00009911962,0.00000276002,0.0003336979,0.00005145387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009576831,"about_ca_system_score_gemma":0.00001839574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000226037,"about_ca_topic_score_gemma":0.00005237837,"domain_scores_codex":[0.9993999,0.00001771458,0.0002500274,0.0000890537,0.0001008294,0.000142475],"domain_scores_gemma":[0.998542,0.0001938491,0.00002930925,0.001144481,0.00005443699,0.00003598746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009573235,0.0004138561,0.00002918659,0.00004561807,0.0001468027,6.613388e-7,0.0001198188,0.8282334,0.002189203,0.05895887,0.00007296446,0.1097801],"study_design_scores_gemma":[0.004748511,0.001129766,0.002198316,0.000751541,0.0007057223,0.0001900249,0.002646778,0.2062213,0.6316813,0.1313467,0.01585447,0.002525583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09472414,0.0007100924,0.891042,0.0009364007,0.0005141507,0.0003118774,0.00005838904,0.0016598,0.01004315],"genre_scores_gemma":[0.9056126,0.001802422,0.09248367,0.000009374558,0.000005556183,0.00005150687,0.00000286599,0.00001794869,0.0000139931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8108885,"threshold_uncertainty_score":0.4712147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116787198627938,"score_gpt":0.2390344597319923,"score_spread":0.217866587745713,"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."}}