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dc.contributor.authorCarletta, J.
dc.contributor.authorGiakos, G.C.
dc.contributor.authorPatnekar, N.
dc.contributor.authorFraiwan, Luay
dc.contributor.authorKrach, F.
dc.date.accessioned2018-03-20T06:25:06Z
dc.date.available2018-03-20T06:25:06Z
dc.date.issued2004-12
dc.identifier.urihttps://dspace.adu.ac.ae/handle/1/745
dc.descriptionCarletta, J., Giakos, G., Patnekar, N., Fraiwan, L., & Krach, F. (2004). Design of a field programmable gate array-based platform for real-time de-noising of optical imaging signals using wavelet transforms. Measurement, 36(3-4), 289-296.en_US
dc.description.abstractIn this study, the design of a low-cost, field programmable gate array (FPGA)-based digital hardware platform that implements wavelet transform algorithms for real-time signal de-noising of optical imaging signals is presented. The proposed digital hardware de-noising platform can achieve a throughput of 25 Msamples per second, with a latency from input to output of 1.5 μs. The system fits on a 10K20, one of the smaller field programmable gate arrays from the Altera Flex 10K family, and represents a low-cost approach to signal de-noising. Preliminary experimental results clearly indicate the potential of the presented FPGA-based digital platform for real-time de-noising of signals utilized for the detection and imaging of surface defects and discontinuities.en_US
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.subjectWavelet Transformsen_US
dc.subjectSignal-To-Noiseen_US
dc.subjectReal-time computationen_US
dc.titleDesign of a field programmable gate array-based platform for real-time de-noising of optical imaging signals using wavelet transformsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.measurement.2004.09.007


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