DocumentCode :
62227
Title :
A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals—Part II
Author :
Kumar, Mohit ; Stoll, Norbert ; Stoll, Regina ; Thurow, Kerstin
Author_Institution :
Center for Life Sci. Autom., Rostock, Germany
Volume :
45
Issue :
3
fYear :
2015
fDate :
Mar-15
Firstpage :
486
Lastpage :
496
Abstract :
This text provides several applications scenarios of introduced signals´ modeling and analysis framework to solve the practical problems. Some of the challenging practical problems related to signal/data processing have been formulated in a manner that the negative free energy maximizing filtering and variational information maximizing analysis algorithms of Kumar et al. could be directly applied to solve the problems. The studied application examples include robust comparison of objects´ geometries in images for child ear biometrics, biomedical signals classification, data smoothing for reflection-mode ultrasound imaging, and modeling related applications. The application examples support the mathematical theory of Kumar et al. by providing just the proof-of-concept.
Keywords :
biomedical ultrasonics; filtering theory; fuzzy set theory; image classification; medical image processing; stochastic processes; biomedical signal classification; child ear biometrics; data smoothing; fuzzy filtering; reflection-mode ultrasound imaging; signal analysis; stochastic framework; Algorithm design and analysis; Biometrics (access control); Data models; Ear; Geometry; Robustness; Stochastic processes; Biomedical signal analysis; ear biometrics; fuzzy modeling; ultrasound imaging;
fLanguage :
English
Journal_Title :
Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
2168-2267
Type :
jour
DOI :
10.1109/TCYB.2014.2329192
Filename :
6840349
Link To Document :
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