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On the Foundation of Sparsity Constrained Sensing - Part I: Sampling Theory and Robust Remainder Problem.
Hanshen Xiao
Yaowen Zhang
Beining Zhou
Guoqiang Xiao
Published in:
IEEE Trans. Signal Process. (2023)
Keyphrases
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real time
high dimensional
sparsity constraints
case study
theoretical foundation
monte carlo
theoretical basis
partial occlusion
artificial intelligence
neural network
theoretical framework
sparse representation
data acquisition
multiscale
information systems
random sampling
sampling algorithm
sampling methods