Results 11 to 20 of about 4,803 (262)
CS-FCDA: A Compressed Sensing-Based on Fault-Tolerant Data Aggregation in Sensor Networks [PDF]
Sensors, 2018 When the nodes in the network are deployed in the target area with an appropriate density, the effective aggregation and transmission of the data gathered in the monitoring area remain to be solved.
Zeyu Sun +5 more
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Iterative detection for compressive sensing: Turbo CS [PDF]
2014 IEEE International Conference on Communications (ICC), 2014 We consider compressive sensing as a source coding method for signal transmission. We concatenate a convolutional coding system with 1-bit compressive sensing to obtain a serial concatenated system model for sparse signal transmission over an AWGN channel.
Amin Movahed, Mark C. Reed
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CS-MUVI: Video compressive sensing for spatial-multiplexing cameras [PDF]
2012 IEEE International Conference on Computational Photography (ICCP), 2012 Compressive sensing (CS)-based spatial-multiplexing cameras (SMCs) sample a scene through a series of coded projections using a spatial light modulator and a few optical sensor elements. SMC architectures are particularly useful when imaging at wavelengths for which full-frame sensors are too cumbersome or expensive.
Sankaranarayanan, Aswin C. +2 more
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Modified-CS: Modifying Compressive Sensing for Problems With Partially Known Support [PDF]
IEEE Transactions on Signal Processing, 2009 We study the problem of reconstructing a sparse signal from a limited number of its linear projections when a part of its support is known, although the known part may contain some errors. The ``known" part of the support, denoted T, may be available from prior knowledge.
Namrata Vaswani, Wei Lu 0024
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CS-MCNet: A Video Compressive Sensing Reconstruction Network with Interpretable Motion Compensation [PDF]
, 2021 In this paper, a deep neural network with interpretable motion compensation called CS-MCNet is proposed to realize high-quality and real-time decoding of video compressive sensing. Firstly, explicit multi-hypothesis motion compensation is applied in our network to extract correlation information of adjacent frames(as shown in Fig.
Bowen Huang +5 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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CS-VQA: Visual Question Answering with Compressively Sensed Images [PDF]
2018 25th IEEE International Conference on Image Processing (ICIP), 2018 Visual Question Answering (VQA) is a complex semantic task requiring both natural language processing and visual recognition. In this paper, we explore whether VQA is solvable when images are captured in a sub-Nyquist compressive paradigm. We develop a series of deep-network architectures that exploit available compressive data to increasing degrees of
Li-Chi Huang +5 more
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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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Implementation of a Cross-Layer Sensing Medium-Access Control Scheme
Sensors, 2017 In this paper, compressed sensing (CS) theory is utilized in a medium-access control (MAC) scheme for wireless sensor networks (WSNs). We propose a new, cross-layer compressed sensing medium-access control (CL CS-MAC) scheme, combining the physical layer
Yishan Su +4 more
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Expanding Window Compressed Sensing for Non-Uniform Compressible Signals
Sensors, 2012 Many practical compressible signals like image signals or the networked data in wireless sensor networks have non-uniform support distribution in their sparse representation domain. Utilizing this prior information, a novel compressed sensing (CS) scheme
Sung Ho Cho, Lin Zhang, Xuqi Zhu, Yu Liu
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