{"id":"W7024673354","doi":"","title":"Space-time coding and receiver design for unknown time-varying wireless channels","year":2009,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trellis (graph); Fading; Kalman filter; Channel (broadcasting); Ambiguity; Coding (social sciences); Precoding; Coding gain; Decoding methods; Diversity gain","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":[0.001000023,0.0007179466,0.0005727041,0.0003821445,0.0002993165,0.001018788,0.0006844877,0.001055687,0.001484944],"category_scores_gemma":[0.003203727,0.0003677729,0.0004733232,0.000632202,0.0006173204,0.0009809504,0.0006684815,0.001033341,0.000657101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006944498,"about_ca_system_score_gemma":0.00142306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002374753,"about_ca_topic_score_gemma":0.002296896,"domain_scores_codex":[0.9991719,0.0002768073,0.000034132,0.0001409183,0.000291537,0.00008465154],"domain_scores_gemma":[0.9989176,0.0005335371,0.000123092,0.00009998133,0.0003035944,0.00002224032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007341945,0.00002060098,0.0005083127,0.000114035,0.00005017216,0.00008989099,0.0001445047,0.8158516,0.01132522,0.07294522,0.0009333292,0.09794366],"study_design_scores_gemma":[0.000007179537,0.00003848293,0.00006357869,0.000009907203,0.000008870205,0.00003544236,0.00001195722,0.9895492,0.002333134,0.006673261,0.001260779,0.000008305272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002290807,0.0001235729,0.9967918,0.00005160596,0.00001517065,0.00001015778,0.00001153491,0.00005022652,0.000655147],"genre_scores_gemma":[0.4388213,0.001316959,0.551661,0.0001573014,0.0001472508,0.0003122771,0.0002046407,0.00007025179,0.007308888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002374753,"threshold_uncertainty_score":0.005288661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847206513458366,"score_gpt":0.2451172672251614,"score_spread":0.2266452020905778,"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."}}