{"id":"W2107488111","doi":"10.1109/vetecf.2004.1405037","title":"Channel estimation for MIMO systems employing single-carrier modulations with iterative frequency-domain equalization","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Equalization (audio); MIMO; Channel (broadcasting); Computer science; Frequency domain; Time domain; Block (permutation group theory); Modulation (music); Control theory (sociology); Electronic engineering; SC-FDE; Algorithm; Power (physics); Envelope (radar); Telecommunications; Mathematics; Engineering; Physics; Acoustics","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":[0.0006082145,0.0004243822,0.0004129963,0.0003288224,0.0002830828,0.0005009123,0.0003042833,0.000408515,0.0012762],"category_scores_gemma":[0.002265999,0.0002136267,0.0002632398,0.0003199708,0.0003686571,0.0006872821,0.000413917,0.0004665929,0.0006171907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002325555,"about_ca_system_score_gemma":0.0006634441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007730302,"about_ca_topic_score_gemma":0.001968922,"domain_scores_codex":[0.9997267,0.00009590384,0.00001092559,0.00003335145,0.0001056401,0.00002751905],"domain_scores_gemma":[0.9993974,0.0003454048,0.00005909228,0.00007954382,0.0001015201,0.00001708188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004164691,0.00009155185,0.002188451,0.000352525,0.0001082095,0.0001680423,0.0002376514,0.3465174,0.1201496,0.0293634,0.002232291,0.4981744],"study_design_scores_gemma":[0.00001647185,0.00008192053,0.0007421998,0.00001830664,0.00001778541,0.0001295377,0.00002747914,0.9695508,0.02243229,0.00513735,0.001825943,0.00002000102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00883245,0.0002430906,0.9898699,0.0000746045,0.00001380424,0.00001855842,0.00002058733,0.0001755114,0.0007515412],"genre_scores_gemma":[0.4578664,0.0009609886,0.5383176,0.00007120437,0.00009622535,0.00008970593,0.0001682715,0.00004507799,0.002384595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0012762,"threshold_uncertainty_score":0.004269302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860843952402256,"score_gpt":0.264444499585139,"score_spread":0.2358360600611165,"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."}}