{"id":"W2104864640","doi":"10.1109/wirelessvitae.2009.5172451","title":"Characterization and compensation of DC offset on adaptive MIMO direct conversion transceivers","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Offset (computer science); DC bias; Transmitter; MIMO; Transceiver; Control theory (sociology); Computer science; Gaussian; Electronic engineering; Channel state information; Bit error rate; Algorithm; Channel (broadcasting); Wireless; Voltage; Engineering; Telecommunications; Physics; Electrical 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":[0.0002510989,0.0002921283,0.0003089958,0.0001794297,0.0001875444,0.000342853,0.0002633315,0.0003024381,0.0004911714],"category_scores_gemma":[0.001648312,0.0001110625,0.0001115799,0.0003086115,0.0002527567,0.0003844751,0.0002200975,0.0002668816,0.0001310828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002270007,"about_ca_system_score_gemma":0.0002136731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000510635,"about_ca_topic_score_gemma":0.0008343839,"domain_scores_codex":[0.9996459,0.00005525656,0.00001209541,0.00004139354,0.0002179557,0.00002740929],"domain_scores_gemma":[0.9991218,0.0004696297,0.0001136848,0.00007448075,0.0002018847,0.00001851764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003945723,0.00008793014,0.006973801,0.0003527848,0.00005844816,0.001011526,0.0002331916,0.3243386,0.5283163,0.00989308,0.0004027911,0.127937],"study_design_scores_gemma":[0.00001607095,0.0005325571,0.006113626,0.0000268113,0.00004759439,0.001305157,0.00006858275,0.7638143,0.2240501,0.001476573,0.002518253,0.00003033385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5625367,0.001353397,0.4300785,0.0001381348,0.00006580647,0.00004062215,0.00004583332,0.0001911481,0.005549856],"genre_scores_gemma":[0.9814665,0.0004051992,0.01670554,0.0000291482,0.00002788198,0.00001035696,0.00002374301,0.00000830528,0.001323364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000510635,"threshold_uncertainty_score":0.001647055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007301860264206749,"score_gpt":0.1857443876811099,"score_spread":0.1784425274169032,"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."}}