Results 51 to 60 of about 1,177,560 (190)

Scattering Model-Based Frequency-Hopping RCS Reconstruction Using SPICE Methods

open access: yesRemote Sensing, 2021
RCS reconstruction is an important way to reduce the measurement time in anechoic chambers and expand the radar original data, which can solve the problems of data scarcity and a high measurement cost.
Yingjun Li   +4 more
doaj   +1 more source

Compressed sensing of monostatic and multistatic SAR [PDF]

open access: yes, 2013
In this letter, we study the impact of compressed data collections from a synthetic aperture radar (SAR) sensor on the reconstruction quality of a scene of interest.
Çetin, Müjdat   +5 more
core   +1 more source

Convex Analysis for Minimizing and Learning Submodular Set Functions [PDF]

open access: yes, 2013
The connections between convexity and submodularity are explored, for purposes of minimizing and learning submodular set functions. First, we develop a novel method for minimizing a particular class of submodular functions, which can be expressed as a
Peter Stobbe, Stobbe, Peter
core   +1 more source

Generative priors-constraint accelerated iterative reconstruction for extremely sparse photoacoustic tomography boosted by mean-reverting diffusion model: Towards 8 projections

open access: yesPhotoacoustics
As a novel non-invasive hybrid biomedical imaging technology, photoacoustic tomography combines the advantages of high contrast of optical imaging and high penetration of acoustic imaging.
Teng Lian   +9 more
doaj   +1 more source

Study on the Sparse Sub-block Microwave Imaging Based on Lasso(In English)

open access: yesLeida xuebao, 2013
Sparse microwave imaging requires nonlinear algorithm that is expensive for large scene imaging. Therefore, the sub-block imaging method is studied, in which the measured data and the relative imaging region is divided into sub-blocks, and then sparse ...
Xiang Yin, Zhang Bing-chen, Hong Wen
doaj   +1 more source

Sparse reconstruction of correlated multichannel activity [PDF]

open access: yes2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013
Parametric methods for modeling sinusoidal signals with line spectra have been studied for decades. In general, these methods start by representing each sinusoidal component by means of two complex exponential functions, thereby doubling the number of unknown parameters.
Sem Peelman   +5 more
openaire   +6 more sources

A Sparse Representation-Based Reconstruction Method of Electrical Impedance Imaging for Grounding Grid

open access: yesEnergies
As a non-invasive imaging method, electrical impedance tomography (EIT) technology has become a research focus for grounding grid corrosion diagnosis. However, the existing algorithms have not produced ideal image reconstruction results.
Ke Zhu   +4 more
doaj   +1 more source

Artifact Removal using Improved GoogLeNet for Sparse-view CT Reconstruction

open access: yesScientific Reports, 2018
Sparse-view Reconstruction can be used to provide accelerated low dose CT imaging with both accelerated scan and reduced projection/back-projection calculation.
Shipeng Xie   +8 more
doaj   +1 more source

Compressive Sensing Low-Field MRI Reconstruction with Dual-Tree Wavelet Transform and Wavelet Tree Sparsity

open access: yesChinese Journal of Magnetic Resonance, 2018
Compressed sensing is widely used in accelerated magnetic resonance imaging (MRI) to reduce scan time. With compressed sensing, high-quality MR images could be acquired and reconstructed with only a small amount of K space data.
CHAI Qing-huan   +2 more
doaj   +1 more source

Parametric dictionary design for sparse coding [PDF]

open access: yes, 2009
—This paper introduces a new dictionary design method for sparse coding of a class of signals. It has been shown that one can sparsely approximate some natural signals using an overcomplete set of parametric functions, e.g. [1], [2].
Yaghoobi, M.   +5 more
core  

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