{"id":"W2097572927","doi":"10.1109/glocom.2008.ecp.549","title":"Compressive Sensing Receiver for Free-Space Optical Communication Through the Atmosphere","year":2008,"lang":"en","type":"article","venue":"","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Detector; Preamplifier; Antenna diversity; Digital micromirror device; Optics; Compressed sensing; Bit error rate; Electronic engineering; Computer science; Free-space optical communication; SIGNAL (programming language); Optical communication; Channel (broadcasting); Physics; Telecommunications; Bandwidth (computing); Engineering; Wireless; Algorithm","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":[0.0003312442,0.0002961677,0.0002489017,0.0001726397,0.0002174874,0.000372138,0.0004062175,0.0005136604,0.001937111],"category_scores_gemma":[0.0008391668,0.0001216177,0.0001713529,0.0001832428,0.0003121307,0.0005818401,0.0003911184,0.0006302879,0.0005443681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002469805,"about_ca_system_score_gemma":0.0003620818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004953345,"about_ca_topic_score_gemma":0.0008206649,"domain_scores_codex":[0.9997141,0.0000615722,0.000007521402,0.00003475464,0.000165477,0.00001647956],"domain_scores_gemma":[0.9996013,0.0001954999,0.00004753136,0.00004035539,0.00009660565,0.00001872092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004507986,0.000149872,0.001439605,0.0002806362,0.00008486418,0.0002373661,0.0001849765,0.09071867,0.5333079,0.0684462,0.00469305,0.3000062],"study_design_scores_gemma":[0.0000470112,0.0005015809,0.0005714304,0.00003499808,0.00003983785,0.0003490971,0.00004196326,0.8429461,0.1354108,0.007050436,0.01295689,0.00005003561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04502679,0.0008324035,0.9477305,0.0004850674,0.0001503073,0.0000362627,0.00006405696,0.00040523,0.005269403],"genre_scores_gemma":[0.6027423,0.0007081246,0.3885966,0.0002924953,0.0002600309,0.00005923216,0.0001155148,0.00003451125,0.007191137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001937111,"threshold_uncertainty_score":0.006480336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0304493320363852,"score_gpt":0.2422619071199291,"score_spread":0.2118125750835439,"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."}}