{"id":"W2160815352","doi":"10.1109/milcom.2010.5680233","title":"Equalisation and iterative reception for spectrally efficient CPM in multipath environments","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Demodulation; Computer science; Multipath propagation; Intersymbol interference; Narrowband; Electronic engineering; Continuous phase modulation; Delay spread; Waveform; Multipath interference; Multipath mitigation; Decoding methods; Channel (broadcasting); Telecommunications; Engineering; Radar","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":[0.0005998408,0.000777801,0.0004032966,0.00036162,0.0003544206,0.0007698496,0.0006070351,0.0008700606,0.002360122],"category_scores_gemma":[0.002428627,0.000253634,0.0003679682,0.0006003186,0.0007175992,0.0008324509,0.001030161,0.0006862718,0.001051284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236503,"about_ca_system_score_gemma":0.0005525866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003328901,"about_ca_topic_score_gemma":0.0005654651,"domain_scores_codex":[0.9992766,0.0002501372,0.00003121155,0.00007471768,0.0002779558,0.00008941035],"domain_scores_gemma":[0.9992507,0.000385264,0.00008084973,0.0001143485,0.0001431291,0.00002553914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000681787,0.0001420791,0.001157139,0.0002704068,0.00008533438,0.0007011403,0.0006958087,0.1912197,0.3530709,0.1001709,0.001607984,0.3501969],"study_design_scores_gemma":[0.00005519131,0.0005670009,0.0007160772,0.0000667832,0.00004615071,0.001459565,0.00009325188,0.7252929,0.2475495,0.01270483,0.01136652,0.00008221826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03759658,0.0002090856,0.9568679,0.00008145651,0.0000319732,0.00004581868,0.0000192827,0.0002902197,0.004857769],"genre_scores_gemma":[0.5072273,0.0004091921,0.4865721,0.00009531794,0.00009278459,0.00009568051,0.00009609723,0.00009142356,0.005320115],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002360122,"threshold_uncertainty_score":0.00789541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009944669807673905,"score_gpt":0.2501228647131982,"score_spread":0.2401781949055243,"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."}}