Relevance of Qualitative Subjective Visual Attributes to Signal Categorization (CROSBI ID 539152)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bogunović, Nikola ; Jagnjć, Željko ; Jović, Franjo
engleski
Relevance of Qualitative Subjective Visual Attributes to Signal Categorization
Signals represented by their proper (in the sense of Nyquist-Shannon theorem) sampled values as time-series are commonly categorized by objective features such as amplitude and frequency distribution. The paper presents a novel signal classification method based on full difference expansion, mapping this expansion to qualitative space and extraction of subjective visual attributes from the qualitative space. The full qualitative difference expansion yields a vector that conveys total information on the variation of the particular signal represented by time-series and can be seen as a single point in n-dimensional discrete-space. From such a discrete-space, symbolic and numeric features are subjectively extracted and used for the decision tree construction that is consequently used in signal classification. The proposed method was tested in the context of the standard Control Chart Pattern data, which are time-series used in Statistical Process Control. The results are compared with other similar methods.
Discrete-space ; Feature extraction ; Pattern classification ; Qualitative analysis ; Time series classification
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
835-840.
2008.
objavljeno
Podaci o matičnoj publikaciji
Capolino, Gerard-Andre
Ajaccio: Institute of Electrical and Electronics Engineers (IEEE)
978-1-4244-1633-2
Podaci o skupu
The 14th IEEE Mediterranean Electrozechnical Conference
predavanje
05.05.2008-07.05.2008
Ajaccio, Francuska