{"id":"W2109188271","doi":"10.1109/vetec.1996.501423","title":"Modified TH-precoding with constant amplitude for indoor wireless system using QPSK","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Precoding; Phase-shift keying; Intersymbol interference; Zero-forcing precoding; Quadrature amplitude modulation; Electronic engineering; Computer science; Fading; Channel (broadcasting); Interference (communication); Control theory (sociology); Transmission (telecommunications); Wireless; Amplitude and phase-shift keying; Bit error rate; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009549387,0.0001881143,0.0002623972,0.00008545189,0.00009526614,0.00005356949,0.00009221225,0.00007816304,0.00001941589],"category_scores_gemma":[0.000008932378,0.0001635131,0.00003573764,0.0001592575,0.00002019826,0.0002323443,0.00001254982,0.00006947256,0.000008007562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002846718,"about_ca_system_score_gemma":0.000007511642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001631754,"about_ca_topic_score_gemma":0.00001949875,"domain_scores_codex":[0.9990391,0.00001210562,0.000291039,0.0002088596,0.00009801577,0.0003508578],"domain_scores_gemma":[0.9994921,0.00006820355,0.00006007736,0.000223147,0.00007603101,0.00008042436],"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":[0.00001146397,0.000008492721,0.0001219742,0.0004289503,0.00005243966,0.000003336875,0.0001907547,0.9862962,0.005326088,0.006692313,0.00005331237,0.0008146287],"study_design_scores_gemma":[0.0007209879,0.00002023007,0.000002604414,0.0002397934,0.00002270581,0.00003569083,0.000458412,0.9952633,0.002916359,0.000009748912,0.00006600381,0.000244193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03593251,0.0001314925,0.9511883,0.000004663048,0.0002187221,0.0007012923,0.00001477839,0.000740679,0.01106759],"genre_scores_gemma":[0.9381399,0.00000770062,0.06147497,0.000007239176,0.00006661632,0.00007383057,0.000004943565,0.00006898848,0.0001558675],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9022073,"threshold_uncertainty_score":0.666787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03296127234792121,"score_gpt":0.22489390878764,"score_spread":0.1919326364397188,"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."}}