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Structure reconstruction of correlated neural signals based on inpainting for brain monitoring., , , и . BioCAS, стр. 1-4. IEEE, (2015)High-performance bivariate numeric function approximation for hardware-efficient QR-decomposition., , и . ICECS, стр. 257-260. IEEE, (2016)Compressed sensing K-best detection for sparse multi-user communications., , , , , и . EUSIPCO, стр. 1726-1730. IEEE, (2014)Design of a multi-core hardware architecture for consensus-based MIMO detection algorithms., , , и . ACSSC, стр. 877-881. IEEE, (2016)Hardware-accelerated reconstruction of compressed neural signals based on inpainting., , , , , , и . MIXDES, стр. 399-404. IEEE, (2016)Low-complexity and approximative sphere decoding of sparse signals., , и . ACSCC, стр. 1241-1244. IEEE, (2012)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)Efficient and fast SOP-based inpainting for neurological signals in resource limited systems., , , , , и . ICECS, стр. 249-252. IEEE, (2016)