{"id":"W2126803143","doi":"10.1109/milcom.2009.5380030","title":"Complexity reduction for continuous phase modulation using basis functions","year":2009,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"Defence Research and Development Canada","keywords":"Continuous phase modulation; Demodulation; Basis (linear algebra); Reduction (mathematics); Waveform; Modulation (music); Basis function; Computer science; Phase modulation; SIGNAL (programming language); Phase (matter); Frequency modulation; Algorithm; Phase-shift keying; Topology (electrical circuits); Electronic engineering; Mathematics; Telecommunications; Bandwidth (computing); Bit error rate; Physics; Channel (broadcasting); Engineering; Acoustics; Decoding methods; Mathematical analysis","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":[0.0003337493,0.0003479792,0.0003314141,0.0003219107,0.0001679263,0.0003929531,0.0002592472,0.0003751577,0.001428153],"category_scores_gemma":[0.001143975,0.0001120881,0.0002924814,0.0003657103,0.000224508,0.00040508,0.000270323,0.0006895104,0.000487802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050614,"about_ca_system_score_gemma":0.0002799899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004243361,"about_ca_topic_score_gemma":0.000423076,"domain_scores_codex":[0.9997299,0.00007205729,0.000007789523,0.00001623878,0.0001552257,0.00001887512],"domain_scores_gemma":[0.9995977,0.0002466781,0.00002030484,0.00004523829,0.00007887975,0.00001121064],"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":[0.0003857015,0.0001655326,0.0004772248,0.0001623172,0.00004609428,0.0001242018,0.000117982,0.3103626,0.1924369,0.05667712,0.00177279,0.4372714],"study_design_scores_gemma":[0.000009066406,0.00009091512,0.0001741132,0.000006322217,0.0000063929,0.00006302283,0.000006203353,0.9814599,0.01286869,0.003992728,0.001315244,0.000007517218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03427733,0.0002298039,0.9631492,0.00006904414,0.00002261256,0.00001479363,0.00001620294,0.0001927122,0.00202833],"genre_scores_gemma":[0.4397932,0.0005854161,0.5550112,0.00006081292,0.00008392679,0.00007887215,0.00012599,0.000100346,0.004160288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001428153,"threshold_uncertainty_score":0.00477767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07292862136596648,"score_gpt":0.3141203830277468,"score_spread":0.2411917616617803,"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."}}