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dc.contributor.convenorO.O. Khalifaen_US
dc.contributor.authorQassim, Yahya Taheren_US
dc.contributor.authorCutmore, Timothyen_US
dc.contributor.authorJames, Danielen_US
dc.contributor.authorRowlands, Daviden_US
dc.contributor.editorA.H.M. Zahirul Alamen_US
dc.date.accessioned2017-06-19T01:30:17Z
dc.date.available2017-06-19T01:30:17Z
dc.date.issued2012en_US
dc.date.modified2013-06-13T23:15:11Z
dc.identifier.refurihttp://www.iium.edu.my/iccce/12/index.php/home-ien_US
dc.identifier.doi10.1109/ICCCE.2012.6271152en_US
dc.identifier.urihttp://hdl.handle.net/10072/47020
dc.description.abstractAbstract-this article presents the design and implementation of continuous wavelet transform (CWT) of nonstationary Electroencephalogram (EEG) signals using a Spartan 3AN FPGA. The widely applied Morlet wavelet function was used for obtaining the CWT coefficients. The complex convolutions were executed in Fourier space using simple multipliers. Altium designer was used to import Xilinx FFT core configured in Radix 4. Two VHDL controllers were built to control the FFT core operation (which handles both the FFT-IFFT computations) for the first controller; and the multiplication processes in between for the second one. The results showed that the digital architecture of Morlet wavelet function in Fourier space is very time efficient. By an optimized trade-off between speed and silicon area, the design can produce the wavelet coefficients at all scales of 1024 points EEG signal in approximately 1 msec when it runs at maximum clock speed of 125 MHz.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherIEEEen_US
dc.publisher.placeUnited Statesen_US
dc.publisher.urihttp://www.iium.edu.my/iccce/12/index.php/home-ien_US
dc.relation.ispartofstudentpublicationYen_US
dc.relation.ispartofconferencenameICCCE 2012en_US
dc.relation.ispartofconferencetitle4th International Conference on Computer and Communication Engineering Proceedingsen_US
dc.relation.ispartofdatefrom2012-07-03en_US
dc.relation.ispartofdateto2012-07-05en_US
dc.relation.ispartoflocationKuala Lumpur, Malaysiaen_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchCircuits and Systemsen_US
dc.subject.fieldofresearchSignal Processingen_US
dc.subject.fieldofresearchcode090601en_US
dc.subject.fieldofresearchcode090609en_US
dc.titleFPGA Implementation of Morlet Continuous Wavelet Transform for EEG Analysisen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.date.issued2012
gro.hasfulltextNo Full Text


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