MRI Reconstruction From Sparse K-Space Data Using Low Dimensional Manifold Model
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2925051
Abstract: Recent compressed sensing (CS) approaches to utilize the similarity and redundancy of magnetic resonance (MR) image patches to enable reconstruction from sparse k-space measurements. In this paper, the patches’ similarity and redundancy are exploited by… read more here.
Keywords: manifold; reconstruction sparse; dimensional manifold; low dimensional ... See more keywords
Sparse Space-Time-Frequency-Domain Spreading for Large-Scale Non-Orthogonal Multiple Access
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2020.3010437
Abstract: A generalised spatial modulation-aided sparse space-time-frequency spreading (GSM/SSTFS) scheme is proposed for supporting large-scale access at a high normalized user-load in next-generation systems by simultaneously exploiting the transmit diversity in the spatial- and frequency-domain. Specifically,… read more here.
Keywords: access; frequency; time frequency; large scale ... See more keywords