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Hardware-accelerated reconstruction of compressed neural signals based on inpainting.

, , , , , , и . MIXDES, стр. 399-404. IEEE, (2016)

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Activity and Channel Estimation in Multi-User Wireless Sensor Networks., , , и . WSA, стр. 1-5. VDE-Verlag / IEEE, (2016)Exploiting correlation in neural signals for data compression., , , , , , и . EUSIPCO, стр. 2080-2084. IEEE, (2014)High throughput architecture for inpainting-based recovery of correlated neural signals., , , , , и . EUSIPCO, стр. 1728-1732. IEEE, (2016)Comparison of Implementation and Recovery for Multi Channel Compressed Sensing., , , и . ISCAS, стр. 1-5. IEEE, (2018)Hardware-accelerated reconstruction of compressed neural signals based on inpainting., , , , , , и . MIXDES, стр. 399-404. IEEE, (2016)Compression and reconstruction methodology for neural signals based on patch ordering inpainting for brain monitoring., , , , и . ICASSP, стр. 859-863. IEEE, (2016)Efficient and fast SOP-based inpainting for neurological signals in resource limited systems., , , , , и . ICECS, стр. 249-252. IEEE, (2016)Joint compression of neural action potentials and local field potentials., , , , и . ACSSC, стр. 1823-1827. IEEE, (2013)Random Subsampling based Signal Detection for Spatial Correlated Massive MIMO Channels., , , , , и . ISCAS, стр. 1-5. IEEE, (2018)Maskierte Erfassung und inpaintingbasierte Wiederherstellung von großen Datenvolumen in Systemen mit eingeschränkter Berechnungskapazität (Masked Acquisition and Inpainting-Based Reconstruction of Large Data Volumes in Systems with Limited Computational Capacity). Bremen University, Germany, (2018)base-search.net (ftsubbremen:oai:media.suub.uni-bremen.de:Publications/elib/1455).