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dc.contributor.authorCanbay, F.
dc.contributor.authorLevent, Vecdi Emre
dc.contributor.authorSerbes, G.
dc.contributor.authorGoren, S.
dc.contributor.authorAydin, N.
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractDue to the inherent time-varying characteristics of physiological systems, most biomedical signals (BSs) are expected to have non-stationary character. Therefore, any appropriate analysis method for dealing with BSs should exhibit adjustable time-frequency (TF) resolution. The wavelet transform (WT) provides a TF representation of signals, which has good frequency resolution at low frequencies and good time resolution at high frequencies, resulting in an optimized TF resolution. Discrete wavelet transform (DWT), which is used in various medical signal processing applications such as denoising and feature extraction, is a fast and discretized algorithm for classical WT. However, the DWT has some very important drawbacks such as aliasing, lack of directionality, and shift-variance. To overcome these drawbacks, a new improved discrete transform named as Dual Tree Complex Wavelet Transform (DTCWT) can be used. Nowadays, with the improvements in embedded system technology, portable real-time medical devices are frequently used for rapid diagnosis in patients. In this study, in order to implement DTCWT algorithm in FPGAs, which can be used as real-time feature extraction or denoising operator for biomedical signals, a novel hardware architecture is proposed. In proposed architecture, DTCWT is implemented with only one adder and one multiplier. Additionally, considering the multi-channel outputs of biomedical data acquisition systems, this architecture is capable of running N channels in parallel.
dc.relation.ispartof2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
dc.titleField programmable gate arrays implementation of dual tree complex wavelet transformen_US
dc.typeConference paperen_US
dc.contributor.departmentÖzyeğin University
dc.subject.keywordsData acquisition
dc.subject.keywordsDiscrete wavelet transforms
dc.subject.keywordsEmbedded systems
dc.subject.keywordsFeature extraction
dc.subject.keywordsField programmable gate arrays
dc.subject.keywordsMedical signal processing
dc.subject.keywordsMultiplying circuits
dc.subject.keywordsSignal denoising
dc.subject.keywordsSignal resolution
dc.subject.keywordsTime-frequency analysis
dc.subject.keywordsTrees (mathematics)
dc.contributor.ozugradstudentLevent, Vecdi Emre
dc.relation.publicationcategoryConference Paper - International - Institutional PhD Student

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