Granger Causality for Compressively Sensed Sparse Signals
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DOI: 10.1103/physreve.107.034308
Abstract: Compressed sensing is a scheme that allows for sparse signals to be acquired, transmitted, and stored using far fewer measurements than done by conventional means employing the Nyquist sampling theorem. Since many naturally occurring signals… read more here.
Keywords: estimation; compressively sensed; causality; compressed sensing ... See more keywords
Progressive Compressively Sensed Band Processing for Hyperspectral Classification
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DOI: 10.1109/tgrs.2020.3000873
Abstract: Compressive sensing (CS) has recently been demonstrated as an enabling technology for hyperspectral sensing on remote and autonomous platforms. The power, on-board storage, and computation requirements associated with the high dimensionality of hyperspectral images (HSI)… read more here.
Keywords: progressive compressively; band processing; compressively sensed; band ... See more keywords
APMC: Adjacent Pixels based Measurement Coding System for Compressively Sensed Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3102394
Abstract: Compressed sensing is now regarded as an effective method for dimension reduction during signal acquisition. One significant, yet under-addressed issue regarding the transmission of compressively sensed images is how to compress and code measurements, the… read more here.
Keywords: sensed images; measurement; pixels based; adjacent pixels ... See more keywords