{"id":"W2162282501","doi":"10.1109/ccece.2003.1226085","title":"Adaptive baseband architecture for software-defined RADAR application","year":2004,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"National Research Council Canada; National Science Council","keywords":"Baseband; Computer science; Radar; Software-defined radio; SIGNAL (programming language); Electronic engineering; Radar engineering details; Adaptability; Real-time computing; Architecture; Modulation (music); Embedded system; Radar imaging; Engineering; Telecommunications; Bandwidth (computing); Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001597755,0.0003130942,0.000135544,0.0004024037,0.0001929828,0.0004590929,0.0006197134,0.0004437264,0.001689516],"category_scores_gemma":[0.0003057235,0.0001072976,0.0001772085,0.000261619,0.0001324185,0.0003598956,0.0002378193,0.0005243979,0.0009295798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002379051,"about_ca_system_score_gemma":0.0002181769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000639483,"about_ca_topic_score_gemma":0.0005928105,"domain_scores_codex":[0.9998398,0.00002748324,0.00001095656,0.00002762145,0.00007197317,0.00002211405],"domain_scores_gemma":[0.9998549,0.00002113228,0.0000109085,0.00002618685,0.00007393011,0.00001287841],"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":[0.000298363,0.00009273442,0.001092756,0.0002156261,0.00005740509,0.0004554564,0.0001621587,0.02515263,0.4849079,0.04143227,0.006623847,0.4395089],"study_design_scores_gemma":[0.0001474602,0.001121411,0.003846945,0.0001032288,0.0001638193,0.002141971,0.00006214234,0.6486102,0.2042941,0.01546948,0.1239571,0.00008208447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04031419,0.001458611,0.9448528,0.0002104716,0.0002473806,0.00007321077,0.00005612938,0.002676993,0.01011034],"genre_scores_gemma":[0.7216356,0.001374058,0.2652989,0.0004066029,0.0002541344,0.0001744493,0.0003218258,0.0001157506,0.0104186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001689516,"threshold_uncertainty_score":0.00565201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008200231108073367,"score_gpt":0.198749925180802,"score_spread":0.1905496940727286,"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."}}