{"id":"W2018371432","doi":"10.1117/12.686704","title":"A comparison of soft-decision decoding algorithms for differential pulse-position modulation (DPPM) in optical wireless communications","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Decoding methods; Algorithm; Intersymbol interference; Pulse-position modulation; Optical wireless; Wireless; Interference (communication); Position (finance); Modulation (music); Channel (broadcasting); Pulse (music); Telecommunications; Pulse-amplitude modulation; 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":[0.002871026,0.0007954168,0.0008811745,0.001350251,0.0005506292,0.001752821,0.001023468,0.001218486,0.00138109],"category_scores_gemma":[0.01609626,0.0002912653,0.0004420843,0.0009350672,0.0006293929,0.002157856,0.00133012,0.001102524,0.0004695238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008146042,"about_ca_system_score_gemma":0.001499708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018525,"about_ca_topic_score_gemma":0.001198958,"domain_scores_codex":[0.9971703,0.001206491,0.0001619164,0.0002392388,0.001013948,0.0002081939],"domain_scores_gemma":[0.9881733,0.008830599,0.0003735238,0.0008122404,0.001670836,0.0001394707],"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":[0.001696188,0.0002838994,0.002889616,0.0004256311,0.0002095992,0.00009598667,0.0002008168,0.3028232,0.01157215,0.04453228,0.00150133,0.6337693],"study_design_scores_gemma":[0.00003867142,0.0002613506,0.0006259741,0.00004001646,0.000030482,0.0001787541,0.00005390266,0.9714684,0.01597309,0.009943181,0.001350093,0.00003616141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09899189,0.003226295,0.8903722,0.0004302535,0.0001944863,0.00009666353,0.0001205043,0.0008153669,0.005752362],"genre_scores_gemma":[0.6692389,0.001754754,0.325362,0.0002471539,0.0001017601,0.0001360393,0.0003093443,0.0001064502,0.002743574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002871026,"threshold_uncertainty_score":0.01518357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243735792389129,"score_gpt":0.2765845460102521,"score_spread":0.2541471880863608,"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."}}