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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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Exploiting correlation in neural signals for data compression., , , , , , and . EUSIPCO, page 2080-2084. IEEE, (2014)Activity and Channel Estimation in Multi-User Wireless Sensor Networks., , , and . WSA, page 1-5. VDE-Verlag / IEEE, (2016)Compression and reconstruction methodology for neural signals based on patch ordering inpainting for brain monitoring., , , , and . ICASSP, page 859-863. IEEE, (2016)Efficient and fast SOP-based inpainting for neurological signals in resource limited systems., , , , , and . ICECS, page 249-252. IEEE, (2016)Joint compression of neural action potentials and local field potentials., , , , and . ACSSC, page 1823-1827. IEEE, (2013)Random Subsampling based Signal Detection for Spatial Correlated Massive MIMO Channels., , , , , and . ISCAS, page 1-5. IEEE, (2018)High throughput architecture for inpainting-based recovery of correlated neural signals., , , , , and . EUSIPCO, page 1728-1732. IEEE, (2016)Comparison of Implementation and Recovery for Multi Channel Compressed Sensing., , , and . ISCAS, page 1-5. IEEE, (2018)Hardware-accelerated reconstruction of compressed neural signals based on inpainting., , , , , , and . MIXDES, page 399-404. IEEE, (2016)Rapid digital architecture design of orthogonal matching pursuit., , , , and . EUSIPCO, page 1857-1861. IEEE, (2016)