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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/10947
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dc.contributor.authorPetrovsky, N.-
dc.contributor.authorStankevich, A.-
dc.contributor.authorPetrovsky, A.-
dc.date.accessioned2016-12-22T08:35:59Z-
dc.date.accessioned2017-07-27T11:59:39Z-
dc.date.available2016-12-22T08:35:59Z-
dc.date.available2017-07-27T11:59:39Z-
dc.date.issued2015-
dc.identifier.citationPetrovsky, N. FPSoC using Xilinx Zynq for medical image coding based on the quaternionic paraunitary filter banks / N. Petrovsky, A. Stankevich, A. Petrovsky // IEEE 16th International Conference on e-Health Networking, Applications Services (Healthcom). — Boston, 2015. — P. 587–588. - http://doi.org/10.1109/HealthCom.2015.7454573ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/10947-
dc.description.abstractIn this paper, we have introduced a low-cost FPSoC for medical image coding and implemented to telemedicine applications based on the Xilinx Zynq. We have recently introduced a generalized block-lifting structure using the 2-D CORDIC algorithm as a block of 4- and 8-band linear phase paraunitary filter banks (LP PUFB) based on the quaternionic algebra (Q-PUFB) with one-regularity constraints on hypercomplex coefficients of the schemes for the lossy-to-lossless image coding. Its structure can implement the integer-to-integer transform (I-Q-PUFB). The parallel-pipelined efficient architecture (P2E_Q-PUFB) has been proposed. The low latency separable image processing is implemented in the given architecture.ru_RU
dc.language.isoenru_RU
dc.subjectпубликации ученыхru_RU
dc.subjectFPGAru_RU
dc.subjectlossless image codingru_RU
dc.titleFPSoC using Xilinx Zynq for medical image coding based on the quaternionic paraunitary filter banksru_RU
dc.typeArticleru_RU
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