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Compressed sensing

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https://www.readbyqxmd.com/read/28212100/homotopy-methods-based-on-l%C3%A2-norm-for-compressed-sensing
#1
Zhengshan Dong, Wenxing Zhu
This paper proposes two homotopy methods for solving the compressed sensing (CS) problem, which combine the homotopy technique with the iterative hard thresholding (IHT) method. The homotopy methods overcome the difficulty of the IHT method on the choice of the regularization parameter value, by tracing solutions of the regularized problem along a homotopy path. We prove that any accumulation point of the sequences generated by the proposed homotopy methods is a feasible solution of the problem. We also show an upper bound on the sparsity level for each solution of the proposed methods...
February 15, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28208779/proof-of-concept-of-integrated-load-measurement-in-3d-printed-structures
#2
Michaël Hinderdael, Zoé Jardon, Margot Lison, Dieter De Baere, Wim Devesse, Maria Strantza, Patrick Guillaume
Currently, research on structural health monitoring systems is focused on direct integration of the system into a component or structure. The latter results in a so-called smart structure. One example of a smart structure is a component with integrated strain sensing for continuous load monitoring. Additive manufacturing, or 3D printing, now also enables such integration of functions inside components. As a proof-of-concept, the Fused Deposition Modeling (FDM) technique was used to integrate a strain sensing element inside polymer (ABS) tensile test samples...
February 9, 2017: Sensors
https://www.readbyqxmd.com/read/28207405/compressive-sensing-based-structure-identification-for-multilayer-networks
#3
Guofeng Mei, Xiaoqun Wu, Yingfei Wang, Mi Hu, Jun-An Lu, Guanrong Chen
The coexistence of multiple types of interactions within social, technological, and biological networks has motivated the study of the multilayer nature of real-world networks. Meanwhile, identifying network structures from dynamical observations is an essential issue pervading over the current research on complex networks. This paper addresses the problem of structure identification for multilayer networks, which is an important topic but involves a challenging inverse problem. To clearly reveal the formalism, the simplest two-layer network model is considered and a new approach to identifying the structure of one layer is proposed...
February 13, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28198568/compressed-sensing-mri-reconstruction-from-3d-multichannel-data-using-gpus
#4
Ching-Hua Chang, Xiangdong Yu, Jim X Ji
PURPOSE: To accelerate iterative reconstructions of compressed sensing (CS) MRI from 3D multichannel data using graphics processing units (GPUs). METHODS: The sparsity of MRI signals and parallel array receivers can reduce the data acquisition requirements. However, iterative CS reconstructions from data acquired using an array system may take a significantly long time, especially for a large number of parallel channels. This paper presents an efficient method for CS-MRI reconstruction from 3D multichannel data using GPUs...
February 15, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28195187/sensory-augmentation-integration-of-an-auditory-compass-signal-into-human-perception-of-space
#5
Frank Schumann, J Kevin O'Regan
Bio-mimetic approaches to restoring sensory function show great promise in that they rapidly produce perceptual experience, but have the disadvantage of being invasive. In contrast, sensory substitution approaches are non-invasive, but may lead to cognitive rather than perceptual experience. Here we introduce a new non-invasive approach that leads to fast and truly perceptual experience like bio-mimetic techniques. Instead of building on existing circuits at the neural level as done in bio-mimetics, we piggy-back on sensorimotor contingencies at the stimulus level...
February 14, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28187894/improving-recovery-of-ecg-signal-with-deterministic-guarantees-using-split-signal-for-multiple-supports-of-matching-pursuit-ss-msmp-algorithm
#6
Israa Shaker Tawfic, Sema Koc Kayhan
Compressed sensing (CS) is a new field used for signal acquisition and design of sensor that made a large drooping in the cost of acquiring sparse signals. In this paper, new algorithms are developed to improve the performance of the greedy algorithms. In this paper, a new greedy pursuit algorithm, SS-MSMP (Split Signal for Multiple Support of Matching Pursuit), is introduced and theoretical analyses are given. The SS-MSMP is suggested for sparse data acquisition, in order to reconstruct analog and efficient signals via a small set of general measurements...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28185301/feasibility-of-through-time-spiral-generalized-autocalibrating-partial-parallel-acquisition-for-low-latency-accelerated-real-time-mri-of-speech
#7
Sajan Goud Lingala, Yinghua Zhu, Yongwan Lim, Asterios Toutios, Yunhua Ji, Wei-Ching Lo, Nicole Seiberlich, Shrikanth Narayanan, Krishna S Nayak
PURPOSE: To evaluate the feasibility of through-time spiral generalized autocalibrating partial parallel acquisition (GRAPPA) for low-latency accelerated real-time MRI of speech. METHODS: Through-time spiral GRAPPA (spiral GRAPPA), a fast linear reconstruction method, is applied to spiral (k-t) data acquired from an eight-channel custom upper-airway coil. Fully sampled data were retrospectively down-sampled to evaluate spiral GRAPPA at undersampling factors R = 2 to 6...
February 10, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28176396/multiresolution-imaging-using-golden-angle-stack-of-stars-and-compressed-sensing-for-dynamic-mr-urography
#8
Abhishek Pandey, Umit Yoruk, Mahesh Keerthivasan, Jean-Philippe Galons, Puneet Sharma, Kevin Johnson, Diego R Martin, Maria I Altbach, Ali Bilgin, Manojkumar Saranathan
PURPOSE: To develop a novel multiresolution MRI methodology for accurate estimation of glomerular filtration rate (GFR) in vivo. MATERIALS AND METHODS: A three-dimensional golden-angle radial stack-of-stars (SoS) trajectory was used for data acquisition on a 3 Tesla MRI scanner. Multiresolution reconstruction and analysis was performed using arterial input function reconstructed at 1-s. temporal resolution and renal dynamic data reconstructed using compressed sensing (CS) with 4-s temporal resolution...
February 8, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28168738/golden-ratio-rotated-stack-of-stars-acquisition-for-improved-volumetric-mri
#9
Ziwu Zhou, Fei Han, Lirong Yan, Danny J J Wang, Peng Hu
PURPOSE: To develop and evaluate an improved stack-of-stars radial sampling strategy for reducing streaking artifacts. METHODS: The conventional stack-of-stars sampling strategy collects the same radial angle for every partition (slice) encoding. In an undersampled acquisition, such an aligned acquisition generates coherent aliasing patterns and introduces strong streaking artifacts. We show that by rotating the radial spokes in a golden-angle manner along the partition-encoding direction, the aliasing pattern is modified, resulting in improved image quality for gridding and more advanced reconstruction methods...
February 6, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28167143/causal-mri-reconstruction-via-kalman-prediction-and-compressed-sensing-correction
#10
Angshul Majumdar
This technical note addresses the problem of causal online reconstruction of dynamic MRI, i.e. given the reconstructed frames till the previous time instant, we reconstruct the frame at the current instant. Our work follows a prediction-correction framework. Given the previous frames, the current frame is predicted based on a Kalman estimate. The difference between the estimate and the current frame is then corrected based on the k-space samples of the current frame; this reconstruction assumes that the difference is sparse...
February 4, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28165433/multichannel-and-wide-angle-sar-imaging-based-on-compressed-sensing
#11
Chao Sun, Baoping Wang, Yang Fang, Zuxun Song, Shuzhen Wang
The multichannel or wide-angle imaging performance of synthetic aperture radar (SAR) can be improved by applying the compressed sensing (CS) theory to each channel or sub-aperture image formation independently. However, this not only neglects the complementary information between signals of each channel or sub-aperture, but also may lead to failure in guaranteeing the consistency of the position of a scatterer in different channel or sub-aperture images which will make the extraction of some scattering information become difficult...
February 5, 2017: Sensors
https://www.readbyqxmd.com/read/28164748/development-of-a-residuum-socket-interface-simulator-for-lower-limb-prosthetics
#12
Michael Paul McGrath, Jianliang Gao, Jinghua Tang, Piotr Laszczak, Liudi Jiang, Dan Bader, David Moser, Saeed Zahedi
Mechanical coupling at the interface between lower limb residua and prosthetic sockets plays an important role in assessing socket fitting and tissue health. However, most research lab-based lower limb prosthetic simulators to-date have implemented a rigid socket coupling. This study describes the fabrication and implementation of a lower limb residuum/socket interface simulator, designed to reproduce the forces and moments present during the key loading phases of amputee walking. An artificial residuum made with model bones encased in silicone was used, mimicking the compliant mechanical loading of a real residuum/socket interface...
February 1, 2017: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
https://www.readbyqxmd.com/read/28157910/compressive-holography-algorithm-for-the-objects-composed-of-point-sources
#13
Jing Liu, Guoxian Zhang, Kai Zhao, Xiaoyu Jiang
A compressive holography algorithm is proposed for the objects composed of point sources in this work. The proposed algorithm is based on Gabor holography, an amazingly simple and effective encoder for compressed sensing. In the proposed algorithm, the three-dimensional sampling space is uniformly divided into a number of grids since the virtual object may appear anywhere in the sampling space. All the grids are mapped into an indication vector, which is sparse in nature considering that the number of grids occupied by the virtual object is far less than that of the whole sampling space...
January 20, 2017: Applied Optics
https://www.readbyqxmd.com/read/28157877/compressive-imaging-via-a-rotating-coded-aperture
#14
Michael L Don, Chen Fu, Gonzalo R Arce
Compressive sensing has been used to increase the resolution of sensor arrays, allowing high-resolution images to be obtained from low-resolution or even single pixel sensors. This paper introduces a rotating coded aperture for compressive imaging that has advantages over other sensing strategies. The design of the code geometry is motivated by constraints imposed by the imager's rotation. The block-unblock code pattern is optimized by minimizing the mutual coherence of the sensing matrix. Simulation results are presented, using the final code design to successfully recover high-resolution images from a very small sensor array...
January 20, 2017: Applied Optics
https://www.readbyqxmd.com/read/28153283/fast-label-free-detection-of-c-reactive-protein-using-broad-band-mach-zehnder-interferometers-integrated-on-silicon-chips
#15
Aimilia Psarouli, Athanasios Botsialas, Alexandros Salapatas, Gerasimos Stefanitsis, Dimitra Nikita, Gerhard Jobst, Nikolaos Chaniotakis, Dimitrios Goustouridis, Eleni Makarona, Panagiota S Petrou, Ioannis Raptis, Konstantinos Misiakos, Sotirios E Kakabakos
An immunosensor for fast and accurate determination of C-reactive protein (CRP) in human serum samples based on an array of all-silicon broad-band Mach-Zehnder interferometers (BB-MZIs) is demonstrated. The detection was based on monitoring the spectral shifts during the binding of CRP on the antibody molecules that have been immobilized on the sensing arms of the BB-MZIs. By employing the reaction rate as the analytical signal the assay time was compressed to few minutes. The detection limit was 2.1ng/mL, the quantification limit was 4...
April 1, 2017: Talanta
https://www.readbyqxmd.com/read/28152243/self-gated-fetal-cardiac-mri-with-tiny-golden-angle-igrasp-a-feasibility-study
#16
Kostas Haris, Erik Hedström, Sebastian Bidhult, Frederik Testud, Nicos Maglaveras, Einar Heiberg, Stefan R Hansson, Håkan Arheden, Anthony H Aletras
PURPOSE: To develop and assess a technique for self-gated fetal cardiac cine magnetic resonance imaging (MRI) using tiny golden angle radial sampling combined with iGRASP (iterative Golden-angle RAdial Sparse Parallel) for accelerated acquisition based on parallel imaging and compressed sensing. MATERIALS AND METHODS: Fetal cardiac data were acquired from five volunteers in gestational week 29-37 at 1.5T using tiny golden angles for eddy currents reduction. The acquired multicoil radial projections were input to a principal component analysis-based compression stage...
February 2, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28147626/a-sparse-equivalent-source-method-for-near-field-acoustic-holography
#17
Efren Fernandez-Grande, Angeliki Xenaki, Peter Gerstoft
This study examines a near-field acoustic holography method consisting of a sparse formulation of the equivalent source method, based on the compressive sensing (CS) framework. The method, denoted Compressive-Equivalent Source Method (C-ESM), encourages spatially sparse solutions (based on the superposition of few waves) that are accurate when the acoustic sources are spatially localized. The importance of obtaining a non-redundant representation, i.e., a sensing matrix with low column coherence, and the inherent ill-conditioning of near-field reconstruction problems is addressed...
January 2017: Journal of the Acoustical Society of America
https://www.readbyqxmd.com/read/28147601/sound-field-reconstruction-using-compressed-modal-equivalent-point-source-method
#18
Chuan-Xing Bi, Yuan Liu, Liang Xu, Yong-Bin Zhang
The accuracy, resolution, and economic cost of near-field acoustic holography (NAH) are highly dependent on the number of spatial sampling points. Generally, higher accuracy and resolution require more spatial sampling points, which may increase the workload of measurement or the hardware cost. Compressive sensing (CS) is able to solve the underdetermined problems by utilizing the sparsity of signals, and thus it can be applied to NAH to reduce the number of spatial sampling points but at the same time provide a high-resolution reconstruction image...
January 2017: Journal of the Acoustical Society of America
https://www.readbyqxmd.com/read/28147570/adaptive-and-compressive-matched-field-processing
#19
Kay L Gemba, William S Hodgkiss, Peter Gerstoft
Matched field processing is a generalized beamforming method that matches received array data to a dictionary of replica vectors in order to locate one or more sources. Its solution set is sparse since there are considerably fewer sources than replicas. Using compressive sensing (CS) implemented using basis pursuit, the matched field problem is reformulated as an underdetermined, convex optimization problem. CS estimates the unknown source amplitudes using the replica dictionary to best explain the data, subject to a row-sparsity constraint...
January 2017: Journal of the Acoustical Society of America
https://www.readbyqxmd.com/read/28146484/high-spatial-resolution-phase-sensitive-optical-time-domain-reflectometer-with-a-frequency-swept-pulse
#20
Bin Lu, Zhengqing Pan, Zhaoyong Wang, Hanrong Zheng, Qing Ye, Ronghui Qu, Haiwen Cai
A high spatial resolution phase-sensitive optical time domain reflectometer (ϕ-OTDR) with an optical frequency-swept pulse (FSP) is proposed, and the experimental results are presented in the Letter. The FSP ϕ-OTDR uses optical pulses with linear frequency modulation with higher pulse energy for longer sensing fiber and uses matched filter in the receiver to compress the processed pulse width. Thus, the contradiction between spatial resolution and the working distance in ordinary ϕ-OTDR is relaxed. A spatial resolution of 30 cm, a sensing distance of 19...
February 1, 2017: Optics Letters
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