نتایج جستجو برای: sparse code shrinkage enhancement method

تعداد نتایج: 1924896  

2016
Katherine T. Fountaine Wen-Hui Cheng Colton R. Bukowsky Harry A. Atwater

We experimentally demonstrate near-unity, unselective absorption, broadband, angle-insensitive, and polarization-independent absorption, in sparse InP nanowire arrays, embedded in flexible polymer sheets via geometric control of waveguide modes in two wire motifs: (i) arrays of tapered wires and (ii) arrays of nanowires with varying radii. Sparse arrays of these structures exhibit enhanced abso...

Journal: :Signal, Image and Video Processing 2011
Xian-Hua Han Yen-Wei Chen

In this paper, a robust edge detection method based on independent component analysis (ICA) was proposed. It is known that most of the ICA basis functions extracted from images are sparse and similar to localized and oriented receptive fields. In this paper, the L p norm is used to estimate sparseness of the ICA basis functions, and then, the sparser basis functions were selected for representi...

Journal: :Frontiers in Earth Science 2023

In seismic data processing, the reconstruction and interpolation of missing traces are essential tasks. To overcome limitations irregularly sampled data, this paper proposes a method combining smoothing fast iterative soft threshold algorithm (SFISTA) curvelet transform; uses domain as sparse domain. For comparison, contourlet transform is used for different domains, shrinkage-thresholding (FIS...

Hassan Ranjbar, Mahammad Reza Ghasemi Mojtaba Shamsaei Zafarqandi

Introduction: Secondary radiation such as photoelectrons, Auger electrons and characteristic radiations cause a local boost in dose for a tumor when irradiated with an external X-ray beam after being loaded with elements capable of activating the tumor, e.g.; I and Gd. Materials and Methods:  In this investigation, the MCNPX code was used for simulation and calculation of dose enhancement facto...

2005
RAMESH NEELAMANI

We propose an efficient iterative curvelet-regularized deconvolution algorithm that exploits continuity along reflectors in seismic images. Curvelets are a new multiscale transform that provides sparse representations for images (such as seismic images) that comprise smooth objects separated by piece-wise smooth discontinuities. Our technique combines conjugate gradient-based convolution operat...

Ahad Ollah Ezzati, Hossein Mousavie Anijdan Seyed Rabi Mahdavi,

Introduction In this study, we aimed to calculate dose enhancement factor (DEF) for gold (Au) and iron (Fe) nanoparticles (NPs) in brachytherapy and teletherapy, using Monte Carlo (MC) method. Materials and Methods In this study, a new algorithm was introduced to calculate dose enhancement by AuNPs and FeNPs for Iridium-192 (Ir-192) brachytherapy and Cobalt-60 (Co-60) teletherapy sources, using...

2014
Naveed Akhtar Faisal Shafait Ajmal S. Mian

Existing hyperspectral imaging systems produce low spatial resolution images due to hardware constraints. We propose a sparse representation based approach for hyperspectral image super-resolution. The proposed approach first extracts distinct reflectance spectra of the scene from the available hyperspectral image. Then, the signal sparsity, non-negativity and the spatial structure in the scene...

2013
Alexander Breuer Alexander Heinecke Michael Bader Christian Pelties

SeisSol is a software package for the simulation of seismic wave phenomena on unstructured grids, based on the discontinuous Galerkin method combined with ADER time discretization. A recent study shows that the intra-element performance of SeisSol is critical for its overall performance. Most of the element matrices are sparse operators implemented employing a standard sparse matrix storage sch...

2006
A. Mart́ınez L. Bergamaschi M. Caliari M. Vianello

This work considers the Real Leja Points Method (ReLPM), [J. Comput. Appl. Math., 172 (2004), pp. 79–99], for the exponential integration of large-scale sparse systems of ODEs, generated by Finite Element or Finite Difference discretizations of 3-D advectiondiffusion models. We present an efficient parallel implementation of ReLPM for polynomial interpolation of the matrix exponential propagato...

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