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On the Minimax Capacity Loss under Sub-Nyquist Universal Sampling
Yuxin Chen
,
Andrea J. Goldsmith
, Yonina C. Eldar
Electrical and Computer Engineering
Center for Statistics & Machine Learning
Research output
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peer-review
6
Scopus citations
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Dive into the research topics of 'On the Minimax Capacity Loss under Sub-Nyquist Universal Sampling'. Together they form a unique fingerprint.
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Engineering
Nyquist Frequency
100%
Information Rate
100%
Rate Loss
75%
Gaussians
25%
Lowpass Filter
25%
Channel Bandwidth
25%
Sparsity
25%
Achievable Rate
25%
Linear Time Invariant
25%
Computer Science
Information Rate
100%
Sparsity
25%
Achievable Rate
25%
Gaussian Channel
25%
Channel Bandwidth
25%
Information Loss
25%
Keyphrases
Universal Sampling
100%
Channel Occupancy
25%
Randomized Sampling
25%
Residual Term
25%