{"id":"W2119785402","doi":"10.1109/pacrim.2007.4313307","title":"Groupwise Recursive Channel Estimation for Space-Frequency Block Coded OFDM Systems in Doubly Selective Fading Channels","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Fading; Orthogonal frequency-division multiplexing; Algorithm; Channel (broadcasting); Channel state information; Computer science; Computational complexity theory; Block (permutation group theory); QR decomposition; Recursive least squares filter; Minimum mean square error; Mathematics; Decoding methods; Telecommunications; Wireless; Statistics; Adaptive filter; Eigenvalues and eigenvectors","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":[0.0006435884,0.000574724,0.0007128225,0.0003793893,0.0003108413,0.0005311807,0.0005927887,0.0006306036,0.0009604947],"category_scores_gemma":[0.002656398,0.0002584175,0.0003332089,0.0004340527,0.0004881439,0.0007824628,0.000477321,0.0006633843,0.0004362292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003048202,"about_ca_system_score_gemma":0.0007892144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002788693,"about_ca_topic_score_gemma":0.004571178,"domain_scores_codex":[0.999559,0.0001586716,0.00002314313,0.0000486696,0.0001627963,0.00004778094],"domain_scores_gemma":[0.9990728,0.0004844011,0.0001135975,0.000152196,0.0001579274,0.00001909526],"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":[0.0001952281,0.000071918,0.00081262,0.0001583412,0.00007374063,0.0001239383,0.0002524517,0.4839818,0.02527873,0.02483182,0.001917494,0.462302],"study_design_scores_gemma":[0.00001705012,0.00004095476,0.0001576904,0.000005142395,0.00001044467,0.00006662066,0.00001394527,0.9911307,0.005348311,0.002304737,0.0008908625,0.00001354019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00784225,0.000185158,0.9913464,0.00005027133,0.0000154633,0.00001606235,0.0000127762,0.0001834638,0.0003480326],"genre_scores_gemma":[0.2013999,0.0003283686,0.7968264,0.00006178048,0.00004158411,0.0000549608,0.00009220367,0.00003877185,0.001156062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002788693,"threshold_uncertainty_score":0.00554496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01891170697268345,"score_gpt":0.2744195121205619,"score_spread":0.2555078051478785,"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."}}