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Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29526
Abstract: To develop a manifold learning‐based method that leverages the intrinsic low‐dimensional structure of MR Spectroscopic Imaging (MRSI) signals for joint spectral quantification.
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Keywords:
spectral quantification;
manifold learning;
joint spectral;
spectroscopic imaging ... See more keywords
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Published in 2017 at "Ergodic Theory and Dynamical Systems"
DOI: 10.1017/etds.2017.18
Abstract: The joint spectral radius of a pair of $2\times 2$ real matrices $(A_{0},A_{1})\in M_{2}(\mathbb{R})^{2}$ is defined to be $r(A_{0},A_{1})=\limsup _{n\rightarrow \infty }\max \{\Vert A_{i_{1}}\cdots A_{i_{n}}\Vert ^{1/n}:i_{j}\in \{0,1\}\}$ , the optimal growth rate of the norm…
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Keywords:
spectral radius;
joint spectral;
conjecture;
finiteness conjecture ... See more keywords
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Published in 2020 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2019.2945802
Abstract: Non-orthogonal multiple access (NOMA) holds the promise to be a key enabler of 5G communication. However, the existing design of NOMA systems must be optimized to achieve maximum rate while using minimum transmit power. To…
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Keywords:
optimization;
energy efficiency;
joint spectral;
noma ... See more keywords
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Published in 2020 at "Optics letters"
DOI: 10.1364/ol.391239
Abstract: Photonic quantum states generated from atomic systems play prominent roles in long-distance quantum networks and scalable quantum communication, because entangled photon pairs from atomic ensembles possess a universal identity and narrow spectral bandwidth for quantum…
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Keywords:
photon;
joint spectral;
pairs warm;
spectral intensity ... See more keywords