Informational Analysis for Compressive Sampling in Radar Imaging [PDF]
Sensors, 2015 Compressive sampling or compressed sensing (CS) works on the assumption of the sparsity or compressibility of the underlying signal, relies on the trans-informational capability of the measurement matrix employed and the resultant measurements, operates ...
Jingxiong Zhang, Ke Yang
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New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes [PDF]
Sensors, 2014 The paper deals with the problem of improving the maximum sample rate of analog-to-digital converters (ADCs) included in low cost wireless sensing nodes.
Francesco Bonavolontà +3 more
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Speech Compressive Sampling Using Approximate Message Passing and a Markov Chain Prior [PDF]
Sensors, 2020 By means of compressive sampling (CS), a sparse signal can be efficiently recovered from its far fewer samples than that required by the Nyquist–Shannon sampling theorem.
Xiaoli Jia, Peilin Liu, Sumxin Jiang
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Green Compressive Sampling Reconstruction in IoT Networks [PDF]
Sensors, 2018 In this paper, we address the problem of green Compressed Sensing (CS) reconstruction within Internet of Things (IoT) networks, both in terms of computing architecture and reconstruction algorithms.
Stefania Colonnese +5 more
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Compressive sampling based on frequency saliency for remote sensing imaging [PDF]
Scientific Reports, 2017 In saliency-based compressive sampling (CS) for remote sensing image signals, the saliency information of images is used to allocate more sensing resources to salient regions than to non-salient regions.
Jin Li, Zilong Liu, Fengdeng Liu
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Deterministic compressive sampling for high-quality image reconstruction of ultrasound tomography [PDF]
BMC Medical Imaging, 2017 Background A well-known diagnostic imaging modality, termed ultrasound tomography, was quickly developed for the detection of very small tumors whose sizes are smaller than the wavelength of the incident pressure wave without ionizing radiation, compared
Tran Quang Huy +3 more
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Imaging via Compressive Sampling [PDF]
IEEE Signal Processing Magazine, 2008 Image compression algorithms convert high-resolution images into a relatively small bit streams in effect turning a large digital data set into a substantially smaller one. This article introduces compressive sampling and recovery using convex programming.
Justin Romberg
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A Novel Iterative Thresholding Algorithm Based on Plug-and-Play Priors for Compressive Sampling
Future Internet, 2017 We propose a novel fast iterative thresholding algorithm for image compressive sampling (CS) recovery using three existing denoisers—i.e., TV (total variation), wavelet, and BM3D (block-matching and 3D filtering) denoisers.
Lingjun Liu, Zhonghua Xie, Cui Yang
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A reconfigurable real-time compressive-sampling camera for biological applications. [PDF]
PLoS ONE, 2011 Many applications in biology, such as long-term functional imaging of neural and cardiac systems, require continuous high-speed imaging. This is typically not possible, however, using commercially available systems.
Bo Fu, Mark C Pitter, Noah A Russell
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Computer-Vision-Oriented Adaptive Sampling in Compressive Sensing
SensorsCompressive sensing (CS) is recognized for its adeptness at compressing signals, making it a pivotal technology in the context of sensor data acquisition.
Luyang Liu +4 more
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