Comparison of Data with Multiple Degrees of Freedom Utilizing the Feature Selective Validation (FSV) Method
Date
2016-04-27
Authors
Zhang, Gang
Duffy, A. P.
Orlandi, A.
Di Febo, D.
Wang, Lixin
Sasse, Hugh G.
Journal Title
Journal ISSN
ISSN
Volume Title
Publisher
IEEE
Peer reviewed
Yes
Abstract
The feature selective validation method has been
shown to provide results that are in broad agreement with the
visual assessment of a group of engineers for line, 1-D, data. An
implementation using 2-D Fourier transforms and derivatives have
been available for some years, but verification of the performance
has been difficult to obtain. Further, that approach does not naturally
scale well for 3-D and higher degrees of freedom, particularly
if there are sizable differences in the number of points in the different
directions. This paper describes an approach based on repeated
1-D FSV analyses that overcomes those challenges. The ability of
the 2-D case to mirror user perceptions is demonstrated using the
LIVE database. Its extension to n-dimensions is also described and
includes a suggestion for weighting the algorithm based on the
number of data points in a given “direction.”
Description
This research is the product of a collaboration between:
1. Harbin Institute of Technology, China
2. De Montfort University, UK
3. University of L'Aquila, Italy
“© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Keywords
Comparison, feature selective validation (FSV), measurement, modeling, validation
Citation
Zhang, G. et al. (2016) Comparison of Data with Multiple Degrees of Freedom Utilizing the Feature Selective Validation (FSV) Method, IEEE Transactions on Electromagnetic Compatibility, 58 (3), pp. 784 - 791
Research Institute
Institute of Engineering Sciences (IES)