Results 11 to 20 of about 1,354,418 (296)
Sensors, 2014 Compressive Sensing Imaging (CSI) is a new framework for image acquisition, which enables the simultaneous acquisition and compression of a scene. Since the characteristics of Compressive Sensing (CS) acquisition are very different from traditional image
Xiangwei Li +4 more
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Compressive Sensing of Sparse Tensors [PDF]
, 2014 Compressive sensing (CS) has triggered an enormous research activity since its first appearance. CS exploits the signal's sparsity or compressibility in a particular domain and integrates data compression and acquisition, thus allowing exact ...
Shmuel Friedland (7936745) +2 more
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LS-CS-Residual (LS-CS): Compressive Sensing on Least Squares Residual [PDF]
IEEE Transactions on Signal Processing, 2010 Accepted (with mandatory minor revisions) to IEEE Trans. Signal Processing.
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An Adaptive Rate Blocked Compressive Sensing Method for Video
Entropy, 2021 An adaptive rate Compressive Sensing (CS) method for video signals is proposed. The Blocked Compressive Sensing (BCS) scheme is adopted in this method. Firstly, each video frame is blocked and measured by the BCS scheme, and then the mean and variance of
Jianming Wang, Jianhua Chen
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CS-ROMER: a novel compressed sensing framework for Faraday depth reconstruction
Monthly Notices of the Royal Astronomical Society, 2022 ABSTRACT The reconstruction of Faraday depth structure from incomplete spectral polarization radio measurements using the RM synthesis technique is an underconstrained problem requiring additional regularization. In this paper, we present cs-romer: a novel object-oriented compressed sensing framework to reconstruct Faraday depth signals ...
Miguel Cárcamo +3 more
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Data Collection Method in Clustering Sensing Network Based on Compressive Sensing [PDF]
Jisuanji gongcheng, 2018 In order to reduce the cluster sensing network transmissions and prolong network lifetime,this paper proposes a data collection method based on the hybrid Compressive Sensing(CS) technology for clustering Wireless Sensor Network(WSN).It divides the ...
LI Yulong,LIU Renren,ZHAO Jinfeng,ZANG Lang,CAO Bin
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A Two-Branch Convolution Residual Network for Image Compressive Sensing
IEEE Access, 2020 Deep learning has made great progress in image compressive sensing (CS) tasks recently, and several CS models based on it have achieved superior performance. In practice, sensing the entire image requires huge memory and computational effort.
Chenquan Gan +3 more
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Compressive Sensing Hyperspectral Imaging by Spectral Multiplexing with Liquid Crystal
Journal of Imaging, 2018 Hyperspectral (HS) imaging involves the sensing of a scene’s spectral properties, which are often redundant in nature. The redundancy of the information motivates our quest to implement Compressive Sensing (CS) theory for HS imaging.
Yaniv Oiknine +4 more
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Fast and efficient compressive sensing using structurally random matrices [PDF]
, 2012 This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2011 IEEE. Personal use of this material is permitted.
Trac D. Tran +7 more
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A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications
IEEE Access, 2018 Compressive Sensing (CS) is a new sensing modality, which compresses the signal being acquired at the time of sensing. Signals can have sparse or compressible representation either in original domain or in some transform domain.
Meenu Rani, S. B. Dhok, R. B. Deshmukh
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