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Compressed Sensing for Biomedical Photoacoustic Imaging: A Review
SensorsPhotoacoustic imaging (PAI) is a rapidly developing emerging non-invasive biomedical imaging technique that combines the strong contrast from optical absorption imaging and the high resolution from acoustic imaging.
Yuanmao Wang +3 more
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Quasi-linear Compressed Sensing [PDF]
Multiscale Modeling & Simulation, 2014 Inspired by significant real-life applications, in particular, sparse phase retrieval and sparse pulsation frequency detection in Asteroseismology, we investigate a general framework for compressed sensing, where the measurements are quasi-linear.
Martin Ehler +2 more
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Deterministic Construction of Compressed Sensing Matrices via Vector Spaces Over Finite Fields
IEEE Access, 2020 Compressed Sensing (CS) is a new signal processing theory under the condition that the signal is sparse or compressible. One of the central problems in compressed sensing is the construction of sensing matrices.
Xuemei Liu, Lihua Jia
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A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging
Scientific Reports, 2017 Single-pixel imaging is an alternate imaging technique particularly well-suited to imaging modalities such as hyper-spectral imaging, depth mapping, 3D profiling.
Ming-Jie Sun +4 more
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Advances in Mathematical Physics, 2015 Magnetic particle imaging (MPI) is a tomographic imaging technique that allows the determination of the 3D spatial distribution of superparamagnetic iron oxide nanoparticles.
A. Weber, T. Knopp
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CMCS‐net: image compressed sensing with convolutional measurement via DCNN
IET Image Processing, 2020 Recently, deep learning methods have made a remarkable improvement in compressed sensing image recovery stage. In the compressed measurement stage, the existing methods measured by block by block owing to a huge measurement dictionary for the whole ...
Yahong Xie, Hailin Wang, Jianjun Wang
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SpectraMelt: An Open-Source A2I Simulator
SignalsThe Nyquist Folding Receiver is an architecture that uses Compressed Sensing to convert analog radio frequency signals into digital signals. Analog-to-Digital Converter architectures that implement Compressed Sensing are collectively known as Analog-to ...
Peter Swartz +3 more
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Compressed sensing image restoration algorithm based on improved SURF operator
Open Physics, 2018 Aiming at the excellent descriptive ability of SURF operator for local features of images, except for the shortcoming of global feature description ability, a compressed sensing image restoration algorithm based on improved SURF operator is proposed. The
Zhou Guodong +2 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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