Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46839
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dc.contributor.authorYang, Yien_US
dc.date.accessioned2011-12-23T09:59:59Z
dc.date.available2011-12-23T09:59:59Z
dc.date.copyright2010en_US
dc.date.issued2010
dc.identifier.urihttp://hdl.handle.net/10356/46839
dc.description57 p.en_US
dc.description.abstractFor many original foreground detection algorithms, they are all first simulated using floating point algorithm and later transformed into fixed point to implementation on some hardware, as DSP or FPGA. However, these designs and processes take much time than those float point designs. Furthermore, the word-length in fixed point implementation is the key point. Different choice of the word-length has to lead different trade-off between foreground detection quality and implementation complexity.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineeringen_US
dc.titleThe implementation of computer vision algorithms in fixed pointen_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Signal Processing)en_US
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