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期刊论文 [9]
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Image Denoising Based on HOSVD With Iterative-Based Adaptive Hard Threshold Coefficient Shrinkage
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 13781-13790
作者:
Gao, Shanshan
;
Guo, Ningning
;
Zhang, Mingli
;
Chi, Jing
;
Zhang, Caiming
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  |  
浏览/下载:12/0
  |  
提交时间:2019/12/11
Image denoising
tensor
high order singular value decomposition
adaptive hard thresholding
threshold coefficient shrinkage
Explanation of main tunneling mechanism in electrical conductivity of polymer/carbon nanotubes nanocomposites by interphase percolation
期刊论文
Polymer Bulletin, 2019, 卷号: 76, 期号: 11, 页码: 5717-5731
作者:
Wang, Lishu
;
Peng, Wanxi*
;
Sarafbidabad, Mohsen*
;
Zare, Yasser
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/28
Hard-core model
Interphase
Percolation threshold
Polymer/CNT nanocomposites
Tunneling mechanism
Improved Horvitz-Thompson estimator in survey sampling
期刊论文
SURVEY METHODOLOGY, 2019, 卷号: 45, 期号: 1, 页码: 165-184
作者:
Zong, Xianpeng
;
Zhu, Rong
;
Zou, Guohua
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  |  
浏览/下载:32/0
  |  
提交时间:2020/01/10
Horvitz-Thompson estimator
Inverse probability weighting
Hard-threshold
Robustness
Unequal probability sampling
Sampling without/with replacement
Ratio estimator
Reliability analysis for dependent competing failure processes with changing degradation rate and hard failure threshold levels
期刊论文
COMPUTERS & INDUSTRIAL ENGINEERING, 2018, 卷号: 118, 页码: 340-351
作者:
Hao, Songhua
;
Yang, Jun
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  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Competing failure processes
Extended extreme shock model
Extended delta-shock model
Degradation rate
Hard failure threshold level
Reliability Modeling for Multi-Component systems Subject to Multiple Dependent Competing Failure Processes with Shifting Hard Failure Threshold
会议论文
2017 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-HARBIN), 2017-01-01
作者:
Guan, Xiaomeng
;
Zhao, Guangyan
;
Xuan, Jie
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
multiple dependent competing failure processes (MDCFP)
reliability modeling
multi-component systems
shifting hard failure threshold
An Improved Weighted Projection Onto Convex Sets Method for Seismic Data Interpolation and Denoising
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 卷号: 9, 页码: 228-235
作者:
Wang, Benfeng
;
Chen, Xiaohong
;
Li, Jingye
;
Cao, Jingjie
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/01/03
Improved weighted projection onto convex sets (IWPOCS) method
interpolation and denoising
iterative hard threshold (IHT) method
sparsity
A NOVEL METHOD FOR SIMULTANEOUS SEISMIC DATA INTERPOLATION AND NOISE REMOVAL BASED ON THE L-0 CONSTRAINT
期刊论文
JOURNAL OF SEISMIC EXPLORATION, 2015, 卷号: 24, 页码: 187-204
作者:
Wang, Benfeng
;
Li, Jingye
;
Chen, Xiaohong
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/01/03
Projection Onto Convex Sets (POCS)
Iterative Hard Threshold (IHT)
interpolation
noise removal
An improved destripe noises method for TDI-CCD images (EI CONFERENCE)
会议论文
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
He B.
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浏览/下载:18/0
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提交时间:2013/03/25
The new destriping method using lifting wavelet transform by means of the improved threshold function is presented in this letter. It can overcome the deficiency of the hard and soft threshold function. As compared with the known threshold functions
the quality of the denoised images using the improved threshold function is much better. The results based on several image quality indexes present that the destriped images are not only visually more plausible but also suitable for analysis. Also it is reasonable in computer time and storage space to use the lifting wavelet transform. 2011 IEEE.
Destriping of TDI-CCD remote sensing image (EI CONFERENCE)
会议论文
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
Zhao B.
;
He B.
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  |  
浏览/下载:21/0
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提交时间:2013/03/25
Based on the characteristic of striping noise in remote sensing images
a new destriping technique for the improved threshold function using lifting wavelet transform is presented in this letter. It can overcome the shortcoming of the hard threshold function and soft threshold function. The lifting wavelet transform is easily realized. Also it is inexpensive in computer time and storage space compared with the traditional wavelet transform. We also compare the improved threshold function with some traditional threshold functions both by visual inspection and by appropriate indexes of quality of the denoised images. Evaluations of the results based on several image quality indexes indicate that image quality has been improved after destriping. The destriped images are not only visually more plausible but also suitable for computerized analysis and it did better than the existed ones. 2010 IEEE.
The ATLAS Experiment at the CERN Large Hadron Collider
期刊论文
JOURNAL OF INSTRUMENTATION, 2008, 卷号: 3
作者:
Aad, G.
;
Abat, E.
;
Abdallah, J.
;
Abdelalim, A. A.
;
Abdesselam, A.
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/27
ATLAS
LHC
CERN
Accelerator
Proton-proton collisions
Heavy-ion
collisions
Minimum-bias events
Bunch-crossings
Pile-up
Superconducting magnets
Solenoidal field
Toroidal field
Magnetic
field measurements
Hall probes
Inner detector
Charged-particle
tracking
Vertex measurement
Pixel detectors
Silicon micro-strip
detectors
Transition radiation
Time-over-threshold
Radiation-hard
electronics
Fluorinert cooling
Carbon-fibre reinforced plastics
Optical fibres
Calorimetry
Sampling calorimeters
Liquid argon
Scintillator tiles
Electromagnetic and hadronic interactions
Forward
calorimetry
Accordion geometry
Lateral segmentation
Longitudinal
segmentation
Muon spectrometer
Precision-tracking chambers
Trigger
chambers
Drift tubes
Thin-gap chambers
Resistive-plate chambers
Optical alignment systems
Forward detectors
Cerenkov light
Roman
Pots
Zero-degree calorimetry
Trigger and data acquisition
High-level
trigger
Event filter
Detector control system
Bandwidth
Processor
farm
Electrons
Muons
Leptons
Photons
Jets
Taus
Missing transverse
energy
b-tagging
Particle identification
Tracking algorithms
Vertexing algorithms
Impact parameter measurements
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