An enhanced stochastic time series generation algorithm with an adaptive component-based software architecture

dc.contributor.advisorMoussavi, Mahmood
dc.contributor.advisorFar, Behrouz Homayoun
dc.contributor.authorSobajic, Ognjen
dc.date.accessioned2017-12-18T22:20:56Z
dc.date.available2017-12-18T22:20:56Z
dc.date.issued2011
dc.descriptionBibliography: p. 125-130.en
dc.descriptionIncludes a copy of copyright permissions. Originals with original copy of Partial Copyright Licence.en
dc.descriptionIncludes a CD-Rom containing copy of thesis. Included with print copy of thesis.en
dc.format.extentxiv, 179 leaves : ill. ; 30 cm.en
dc.identifier.citationSobajic, O. (2011). An enhanced stochastic time series generation algorithm with an adaptive component-based software architecture (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/4220en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/4220
dc.identifier.urihttp://hdl.handle.net/1880/105221
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.titleAn enhanced stochastic time series generation algorithm with an adaptive component-based software architecture
dc.typemaster thesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.thesis.accessionTheses Collection 58.002:Box 2046 520542489
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ucalgary_2011_sobajic_ognjen_602126.pdf
Size:
12.49 MB
Format:
Adobe Portable Document Format
Description:
Thesis
Collections