{"id":"W2133282332","doi":"10.1109/tcsi.2010.2041506","title":"A Signal-Perturbation-Free Transmit Scheme for MIMO-OFDM Channel Estimation","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Orthogonal frequency-division multiplexing; MIMO; Channel (broadcasting); Algorithm; Computer science; Perturbation (astronomy); SIGNAL (programming language); Mathematics; Control theory (sociology); Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002059214,0.0002339258,0.0002568685,0.0001768426,0.0002662054,0.00007184339,0.000254873,0.0002147824,0.00001872184],"category_scores_gemma":[0.0000138976,0.0002399215,0.0001062981,0.0001656365,0.00007299721,0.0002369242,8.12163e-7,0.0003026434,0.000003962355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005001463,"about_ca_system_score_gemma":0.00002245286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001070617,"about_ca_topic_score_gemma":0.0000296452,"domain_scores_codex":[0.9989466,0.00003080501,0.0003477387,0.0002513305,0.0001890205,0.0002344852],"domain_scores_gemma":[0.9989133,0.0001732865,0.00005638965,0.0006335444,0.00008511471,0.0001383822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002082114,0.0001242825,0.000002240479,0.0007553457,0.0002232766,0.000001616385,0.001296374,0.2390102,0.5532615,0.0068332,0.0005197676,0.1979514],"study_design_scores_gemma":[0.001200045,0.0001305648,0.00002192036,0.0002273689,0.00006607817,0.00004356299,0.0002855273,0.8918421,0.09445752,0.001384033,0.009707274,0.0006340265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00673143,0.0003285653,0.9894114,0.0001737833,0.0005222581,0.0009030456,0.00008706445,0.0007335091,0.001109001],"genre_scores_gemma":[0.9940051,0.0001698455,0.004470183,0.00003815443,0.00005134927,0.0007389174,0.00001429985,0.00007186981,0.0004402644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9872737,"threshold_uncertainty_score":0.9783713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352367205739052,"score_gpt":0.2239616662844235,"score_spread":0.210437994227033,"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."}}