Premium
Use of correlation functions to assist the experimental validation of numerical modeling techniques
Author(s) -
Duffy A. P.,
Woolfson M. S.,
Benson T. M.
Publication year - 1994
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.4650070808
Subject(s) - experimental data , correlation , numerical modeling , computer science , model validation , microwave , numerical models , electronic engineering , algorithm , data mining , computer simulation , engineering , mathematics , simulation , data science , statistics , telecommunications , geometry
Numerical modeling has an important role to play in optical, microwave, and EMC design. An objective assessment of the accuracy of such numerical modeling tools using experimental data is often hampered by the general complexity of the data to be compared. It is therefore difficult to quantify the resulting comparisons. This communication suggests that three parameters derived from correlation functions can prove useful in assessing validation comparisons. © 1994 John Wiley & Sons, Inc.