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

, , , , , , and . MIXDES, page 399-404. IEEE, (2016)

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Random Subsampling based Signal Detection for Spatial Correlated Massive MIMO Channels., , , , , and . ISCAS, page 1-5. IEEE, (2018)Joint compression of neural action potentials and local field potentials., , , , and . ACSSC, page 1823-1827. IEEE, (2013)Efficient and fast SOP-based inpainting for neurological signals in resource limited systems., , , , , and . ICECS, page 249-252. IEEE, (2016)Compression and reconstruction methodology for neural signals based on patch ordering inpainting for brain monitoring., , , , and . ICASSP, page 859-863. IEEE, (2016)Multi-User Frame Synchronization in Wireless Networks with Sporadic User Activity., , , and . WSA, page 1-5. VDE-Verlag / IEEE, (2017)Compressed sensing K-best detection for sparse multi-user communications., , , , , and . EUSIPCO, page 1726-1730. IEEE, (2014)Structure reconstruction of correlated neural signals based on inpainting for brain monitoring., , , and . BioCAS, page 1-4. IEEE, (2015)High-performance bivariate numeric function approximation for hardware-efficient QR-decomposition., , and . ICECS, page 257-260. IEEE, (2016)Hardware-accelerated reconstruction of compressed neural signals based on inpainting., , , , , , and . MIXDES, page 399-404. IEEE, (2016)Design of a multi-core hardware architecture for consensus-based MIMO detection algorithms., , , and . ACSSC, page 877-881. IEEE, (2016)