{"id":"W2736270902","doi":"10.1109/rfic.2017.7969092","title":"A full-duplex receiver with 80MHz bandwidth self-interference cancellation circuit using baseband Hilbert transform equalization","year":2017,"lang":"en","type":"article","venue":"","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Baseband; Single antenna interference cancellation; CMOS; Bandwidth (computing); Linearity; Electronic engineering; Electronic circuit; Computer science; Radio frequency; Electrical engineering; Telecommunications; Engineering; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001349316,0.0002410572,0.0002246938,0.0001009332,0.0004987196,0.0002297031,0.0004975582,0.0001125392,0.0003551722],"category_scores_gemma":[0.000023268,0.0002236736,0.00004713499,0.0001333452,0.00006924728,0.0007019133,0.00003409155,0.0001826753,0.00002473747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002678557,"about_ca_system_score_gemma":0.00006607483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006068368,"about_ca_topic_score_gemma":0.003575252,"domain_scores_codex":[0.9989207,0.0000302114,0.000301392,0.0002456544,0.0002036779,0.000298301],"domain_scores_gemma":[0.9985762,0.00006645767,0.0001013479,0.001024874,0.0001311043,0.0001000132],"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":[0.00006139463,0.00006575782,0.002488656,0.0001728866,0.0001571831,0.000003587129,0.002722118,0.9511093,0.03248033,0.001977967,0.0003299252,0.008430849],"study_design_scores_gemma":[0.0005698982,0.00005705653,0.002011825,0.0001505485,0.00005577178,0.00001484132,0.00007185655,0.9858961,0.008985641,0.00001670666,0.001795742,0.000374058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7562726,0.0001237386,0.2255993,0.0002087049,0.0001701004,0.0004326291,0.00001789175,0.0005736086,0.01660149],"genre_scores_gemma":[0.9938741,0.0002253691,0.005245617,0.00002579399,0.00005527057,0.00003116977,0.00004774499,0.00006042275,0.0004345216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2376016,"threshold_uncertainty_score":0.9121146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03493401863269082,"score_gpt":0.2491864055782436,"score_spread":0.2142523869455527,"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."}}