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• W2017986029 abstract "We propose two compressive multiplexers for the efficient sampling of ensembles of correlated signals. We show that we can acquire correlated ensembles, taking advantage of their (a priori-unknown) correlation structure, at a sub-Nyquist rate using simple modulation and filtering architectures. We recast the reconstruction of the ensemble as a low-rank matrix recovery problem from generalized linear measurements. Our theoretical results indicate that we can recover an ensemble of M correlated signals composed of R ≪ M independent signals, each bandlimited to W=2 Hz, by taking O(RW logq W) samples per second, where q > 1 is a small constant." @default.
• W2017986029 created "2016-06-24" @default.
• W2017986029 creator A5041443633 @default.
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• W2017986029 date "2012-11-01" @default.
• W2017986029 modified "2023-09-26" @default.
• W2017986029 title "Compressive multiplexers for correlated signals" @default.
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• W2017986029 doi "https://doi.org/10.1109/acssc.2012.6489159" @default.
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