DocumentCode
3542819
Title
Data representation in HOSVD-DCT based domain
Author
Rovid, Andras ; Szeidl, Laszlo ; Varlaki, Peter
Author_Institution
John von Neumann Fac. of Infomatics, Obuda Univ., Budapest, Hungary
fYear
2013
fDate
19-21 June 2013
Firstpage
103
Lastpage
106
Abstract
The paper describes an approach for data representation and processing in the so called HOSVD-DCT based domain which combines the higher order singular value decomposition (HOSVD) with the discrete cosine transformation (DCT). The key idea is to express the multivariate function by an orthonormal set of one variable specific functions and perform DCT on those components which are less significant from the application point of view in order to ensure finer grained processing. It is advantageous also in case of system identification, where the behaviour of the system can be approximated by blending locally identified models. In this case the proposed method can efficiently be applied.
Keywords
data structures; discrete cosine transforms; image representation; singular value decomposition; HOSVD-DCT based domain; data processing; data representation; digital image representation; discrete cosine transformation; higher order singular value decomposition; multivariate function; orthonormal set; system identification; variable specific functions; Approximation methods; Discrete cosine transforms; Feature extraction; Loading; Matrix decomposition; Singular value decomposition; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Engineering Systems (INES), 2013 IEEE 17th International Conference on
Conference_Location
San Jose
Print_ISBN
978-1-4799-0828-8
Type
conf
DOI
10.1109/INES.2013.6632791
Filename
6632791
Link To Document