{"id":"W2100808169","doi":"10.1109/pimrc.2009.5449868","title":"Low-complexity iterative detection and decoding in finite geometry LDPC-coded MIMO systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Low-density parity-check code; Decoding methods; MIMO; Algorithm; Belief propagation; Detector; Computer science; Factor graph; Sequential decoding; List decoding; Computational complexity theory; Bit error rate; Joint (building); Channel (broadcasting); Theoretical computer science; Mathematics; Block code; Concatenated error correction code; Telecommunications; Engineering","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":[0.0009384159,0.000640878,0.0006319399,0.000498372,0.0004341733,0.0007855184,0.0009510113,0.001021143,0.0007591459],"category_scores_gemma":[0.004335481,0.0003634915,0.0003101941,0.000608661,0.0008198911,0.0009310977,0.0008299684,0.000963838,0.0005407288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008441424,"about_ca_system_score_gemma":0.001272747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002530334,"about_ca_topic_score_gemma":0.002873756,"domain_scores_codex":[0.998639,0.0004091366,0.0000542701,0.0001380054,0.0006480962,0.0001113671],"domain_scores_gemma":[0.9978712,0.001322758,0.0002125325,0.0002269781,0.0003189495,0.00004757696],"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":[0.0003146773,0.00007831287,0.001271247,0.0001814149,0.0000818973,0.0004171096,0.0003148291,0.7011505,0.03821332,0.05483909,0.001292765,0.2018448],"study_design_scores_gemma":[0.00002021641,0.00004690542,0.0001576143,0.00001117428,0.00001082895,0.0001358473,0.00001056528,0.9755386,0.01630855,0.006918322,0.00082489,0.00001646111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01582332,0.0001753688,0.9820129,0.00009671311,0.00001534055,0.00002562481,0.00002345925,0.0004082167,0.001419079],"genre_scores_gemma":[0.4586747,0.0002872458,0.537744,0.0001161798,0.00003213356,0.00009052816,0.00008709155,0.00005049354,0.002917519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002530334,"threshold_uncertainty_score":0.006124675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040810825199175,"score_gpt":0.276477167092939,"score_spread":0.2460690588409472,"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."}}