{"id":"W2590774400","doi":"10.1121/1.4976072","title":"Time domain nearfield acoustical holography without wrap-around error and spectral leakage for forward propagation","year":2017,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spectral leakage; Acoustics; Leakage (economics); Acoustic holography; Sound propagation; Propagation of uncertainty; Piston (optics); Microphone; Microphone array; Physics; Holography; Mathematics; Optics; Sound pressure; Fast Fourier transform; Wavefront; Algorithm","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":[0.0007564967,0.0001820488,0.0003769724,0.00001802775,0.0004667123,0.00007054164,0.0006746617,0.0001232042,0.00001349166],"category_scores_gemma":[0.0003190363,0.0001048556,0.0003665304,0.00007199091,0.001243676,0.0001217813,0.0001327334,0.0005169488,0.000001396699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004825237,"about_ca_system_score_gemma":0.00003871815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004625204,"about_ca_topic_score_gemma":7.461211e-7,"domain_scores_codex":[0.9987774,0.00004119225,0.0003948167,0.0001039402,0.0003757691,0.0003068912],"domain_scores_gemma":[0.9986084,0.0003865609,0.0003345971,0.0004076555,0.0001640854,0.00009870503],"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":[0.001122169,0.0005123002,0.001513749,0.0009930946,0.002535952,0.00001099667,0.003895027,0.4385474,0.4217564,0.0003332613,0.09443066,0.03434893],"study_design_scores_gemma":[0.0005496167,0.0003029385,0.001709766,0.00006770792,0.000384928,0.00004992184,0.0007792181,0.9911269,0.0003151391,0.004129829,0.0004255618,0.0001584819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1892178,0.0001260055,0.807384,0.002275895,0.0003678123,0.0002801618,0.00003078934,0.000021754,0.0002958039],"genre_scores_gemma":[0.9172752,0.0002250447,0.08183436,0.0002147483,0.0003628758,0.000002916722,6.216443e-7,0.00003151299,0.00005272702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7280574,"threshold_uncertainty_score":0.4582377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009549906732769828,"score_gpt":0.2455720080433695,"score_spread":0.2360221013105996,"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."}}