High-order transmissive diffraction grating for high-resolution spectral systems

2019 ◽  
Author(s):  
Vasily I. Kazakov ◽  
Oleg D. Moskaletz ◽  
Mikhail A. Vaganov
Keyword(s):  
High Resolution ◽  
Diffraction Grating ◽  
High Order

Multiple attenuation using λ-f domain high-order and high-resolution Radon transform based on SL0 norm

2019 ◽  
Vol 16 (4) ◽  
pp. 473-482
Author(s):  
Wen-Zhi Sun ◽  
Zhen-Chun Li ◽  
Ying-Ming Qu ◽  
Zhi-Na Li
Keyword(s):  
High Resolution ◽  
Radon Transform ◽  
High Order ◽  
Multiple Attenuation

Multiscale Polynomial-Based High-Order Central High Resolution Schemes

2019 ◽  
Vol 80 (1) ◽  
pp. 555-613 ◽  
Author(s):  
Hassan Yousefi ◽  
Soheil Mohammadi ◽  
Timon Rabczuk
Keyword(s):  
High Resolution ◽  
High Order ◽  
High Resolution Schemes ◽  
Central High

scholarly journals High Resolution X-ray Spectroscopy: Is It Interesting? Is It Possible?

2005 ◽  
Vol 13 ◽  
pp. 790-792
Author(s):  
Webster Cash
Keyword(s):  
High Resolution ◽  
High Throughput ◽  
Spectral Resolution ◽  
Diffraction Grating ◽  
High Efficiency ◽  
X Ray ◽  
New Science

AbstractThe diffraction grating spectra from Chandra and XMM-Newton have given the astronomical community a huge step forward in x-ray spectroscopy of celestial sources. They have proven the scientific richness of the field. But the spectra have resolution of only 300 to 1000 – low by the standards of the visible and the ultraviolet. We discuss some of the exciting new science that can be addressed if spectral resolution of up to 10,000 (or more) can be achieved in the x-ray. We then show how practical, high efficiency, high resolution x-ray spectrographs can be built for high throughput missions like Constellation-X and XEUS.

scholarly journals Diffusion-Weighted Images Superresolution Using High-Order SVD

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Xi Wu ◽  
Zhipeng Yang ◽  
Jinrong Hu ◽  
Jing Peng ◽  
Peiyu He ◽  
...  
Keyword(s):  
High Resolution ◽  
Diffusion Weighted Imaging ◽  
High Order ◽  
Single Image ◽  
Computational Burden ◽  
Interpolation Methods ◽  
Diffusion Weighted Images ◽  
Diffusion Weighted ◽  
Clinical Considerations ◽  
Sr Method

The spatial resolution of diffusion-weighted imaging (DWI) is limited by several physical and clinical considerations, such as practical scanning times. Interpolation methods, which are widely used to enhance resolution, often result in blurred edges. Advanced superresolution scanning acquires images with specific protocols and long acquisition times. In this paper, we propose a novel single image superresolution (SR) method which introduces high-order SVD (HOSVD) to regularize the patch-based SR framework on DWI datasets. The proposed method was implemented on an adaptive basis which ensured a more accurate reconstruction of high-resolution DWI datasets. Meanwhile, the intrinsic dimensional decreasing property of HOSVD is also beneficial for reducing the computational burden. Experimental results from both synthetic and real DWI datasets demonstrate that the proposed method enhances the details in reconstructed high-resolution DWI datasets and outperforms conventional techniques such as interpolation methods and nonlocal upsampling.

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