Broadband Microwave Spectrum Sensing Based on Photonic RF Channelization and Compressive Sampling
IEEE Photonics Journal, 2020 A novel approach to realize broadband microwave spectrum sensing based on photonic RF channelization and compressive sampling (CS) is proposed. The photonic RF channelization system is used to slice the input broadband signal into multiple sub-channel ...
Bo Yang +5 more
doaj +1 more source
Sampling Time Adaptive Single-Photon Compressive Imaging
IEEE Photonics Journal, 2019 We propose a time-adaptive sampling method and demonstrate a sampling-time-adaptive single-photon compressive imaging system. In order to achieve self-adapting adjustment of sampling time, the theory of threshold of light intensity estimation accuracy is
Hui Wang +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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Synthetic aperture sonar imaging using compressive sensing and an ultrasound transducer array [PDF]
, 2013 Includes bibliographical references.Compressive sensing (CS) also known as compressive sampling is a technique used to reconstruct or recover the full-length of a signal with only a few non-adaptive measurements.
Jideani, Josiah Chimnanu
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Informational Analysis for Compressive Sampling in Radar Imaging
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
doaj +1 more source
Speech Compressive Sampling Using Approximate Message Passing and a Markov Chain Prior
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
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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Non-Cooperative Low-Complexity Detection Approach for FHSS-GFSK Drone Control Signals
IEEE Open Journal of the Communications Society, 2020 The commercial drone market has substantially grown over the past few years. While providing numerous advantages in various fields and applications, drones also provide ample opportunities for misuse by irresponsible hobbyists or malevolent actors.
Dan Mototolea +3 more
doaj +1 more source
Scalable Image Annotation Using a Product Compressive Sampling Approach [PDF]
, 2015 The paper presents a novel Product Compressive Sampling (PCS) method that is used for large-scale image classification. The proposed method dramatically decreases the computational complexity of Compressive Sampling (CS), while displays robustness ...
Maronidis, Anastasios +7 more
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Missing Internet Traffic Reconstruction using Compressive Sampling [PDF]
, 2022 Missing traffic is a commonly problem in large-scale network. Because the traffic information is needed by network engineering task for network monitoring, there are several methods that recover the missing problem.
Irawati, Indrarini Dyah +2 more
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