{"id":"W2109774215","doi":"10.1109/wncmf.1994.529171","title":"Adaptive channel precoding for slowly fading channels","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Precoding; Bit error rate; Fading; Computer science; Intersymbol interference; Multipath propagation; Rayleigh fading; Electronic engineering; Transmitter; Channel (broadcasting); Base station; Phase-shift keying; Telecommunications; Engineering; MIMO","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":[0.0001620793,0.0002021111,0.0001647071,0.0001786114,0.0001899299,0.0002349491,0.0001872476,0.0002643963,0.000796905],"category_scores_gemma":[0.0009909288,0.0000933354,0.0001031114,0.000241102,0.0002941657,0.0002650132,0.000160881,0.000284413,0.0002389849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002218828,"about_ca_system_score_gemma":0.0003979669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002504402,"about_ca_topic_score_gemma":0.003759708,"domain_scores_codex":[0.9998758,0.00003306126,0.000004551981,0.00001724054,0.0000526223,0.0000167714],"domain_scores_gemma":[0.9997048,0.0001380703,0.00002901321,0.00004193658,0.00007952269,0.000006735266],"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":[0.0002281178,0.00003887782,0.0009956552,0.0001374058,0.00004526314,0.0003268818,0.0001428825,0.5470478,0.09393787,0.0359062,0.002444485,0.3187485],"study_design_scores_gemma":[0.00004032632,0.0001124745,0.0005939871,0.0000134195,0.0000183568,0.000214479,0.00002173671,0.9671495,0.01601454,0.01029556,0.005509729,0.00001585051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06862288,0.0009423699,0.9266109,0.0001718645,0.00009455337,0.00003037517,0.00004038954,0.0003404825,0.00314609],"genre_scores_gemma":[0.8729663,0.001091666,0.1214117,0.00007967686,0.00008356922,0.00004676984,0.00007414422,0.00001961672,0.00422649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002504402,"threshold_uncertainty_score":0.00497967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05599200856691738,"score_gpt":0.2507213983176347,"score_spread":0.1947293897507174,"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."}}