Secure Sampling and Low-Overhead Compressive Analysis by Linear Transformation
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DOI: 10.1109/tcsii.2021.3101019
Abstract: Compressed sensing (CS) is attractive in wireless multimedia sensor networks (WMSNs) because it achieves sampling-compression and confidentiality protection simultaneously. Moreover, applications in WMSNs emphasize the requirement to process real-time data rapidly. However, the reconstruction of… read more here.
Keywords: overhead compressive; compressive analysis; low overhead; transformation ... See more keywords