{"id":"W2167870772","doi":"10.1109/iscas.2009.5117752","title":"High-frequency systolic broadband beamforming using polyphase 3D IIR frequency-planar digital filters with interleaved A/D sampling","year":2009,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Polyphase system; Beamforming; Infinite impulse response; Computer science; Clock rate; Frame rate; Throughput; Field-programmable gate array; Computer hardware; Digital filter; Electronic engineering; Bandwidth (computing); Telecommunications; Engineering; Chip; Artificial intelligence","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":[0.000246689,0.0005610785,0.0002036857,0.0003775836,0.0002750503,0.0003611548,0.000429071,0.0003883801,0.00147658],"category_scores_gemma":[0.0003771756,0.0002100124,0.0003243898,0.0004551636,0.0002528828,0.0004665618,0.0003476026,0.0003826257,0.00084245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002945676,"about_ca_system_score_gemma":0.0006950917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007622056,"about_ca_topic_score_gemma":0.001619627,"domain_scores_codex":[0.9998586,0.00002995833,0.000008430206,0.00002736899,0.00005861307,0.00001698381],"domain_scores_gemma":[0.9998215,0.00005442973,0.00002915423,0.00002218991,0.00005330249,0.00001942717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003115936,0.0001193583,0.001212333,0.0001415789,0.00005147245,0.000236358,0.0001574904,0.06742473,0.448101,0.02080466,0.002343177,0.4590962],"study_design_scores_gemma":[0.0001294827,0.000839698,0.00116018,0.00004267279,0.00005287499,0.0006668365,0.00006146266,0.729364,0.2319316,0.009396856,0.02628792,0.0000664803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01300496,0.00007644646,0.9848684,0.00006681929,0.00002255675,0.00002786253,0.00002294369,0.0005282201,0.00138172],"genre_scores_gemma":[0.1227886,0.0001669947,0.8748642,0.00008619923,0.00004183093,0.00008280519,0.00009597694,0.00003810374,0.001835361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00147658,"threshold_uncertainty_score":0.004939675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173623758380729,"score_gpt":0.2687285440229797,"score_spread":0.2369923064391725,"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."}}