[PDF][PDF] Sediment reduction of warping dams and its timeliness in the Loess Plateau
X Liu, Y Gao, S Ma, G Dong - Journal of Hydraulic Engineering, 2018 - iwhr.org
… In this study,the hy⁃ draulic performances of 3 kinds of … be used to calculate the nonstationary
statistical parameters and … hardly effectively show the differences among the forecast skills …
statistical parameters and … hardly effectively show the differences among the forecast skills …
基于Medipix 的谱微CT
牟轩沁， 魏彪 - CT 理论与应用研究, 2012 - cttacn.org.cn
… In recent years, compressive sensing (CS)-based iterative … We also employed a statistical
iterative reconstruction (SIR) … direction demonstrated the differences between the spectral CT …
iterative reconstruction (SIR) … direction demonstrated the differences between the spectral CT …
[PDF][PDF] 基于高斯平滑压缩感知分数阶全变分算法的图像重构
覃亚丽， 梅济才， 任宏亮， 胡映天， 常丽萍 - 电子与信息学报, 2021 - jeit.ac.cn
… Abstract: In view of the gradient effect caused by the gradient effect of the Total Variation (TV…
based on the Gaussian Smooth compressed sensing Fractional Order Total Variation …
based on the Gaussian Smooth compressed sensing Fractional Order Total Variation …
[PDF][PDF] 基于非局部相似模型的压缩感知图像恢复算法
沈燕飞， 李锦涛， 朱珍民， 张勇东， 代锋 - 自动化学报, 2015 - aas.net.cn
… algorithm of compressed sensing (CS) is proposed based on … improve the performance of
the compressed sensing reconstruction … for compressed MR imaging using total variation and …
the compressed sensing reconstruction … for compressed MR imaging using total variation and …
[HTML][HTML] 压缩感知的高分辨率天文图像去噪
张杰， 罗超， 史小平， 刘晓坤 - 哈尔滨工业大学学报, 2017 - hit.alljournals.cn
… image denoising based on compressed sensing[J]. Journal … effectively, and then the total
variation method is used to adjust … better denoising and reconstruction performance, and can …
variation method is used to adjust … better denoising and reconstruction performance, and can …
[PDF][PDF] 基于压缩感知的CT 重建算法的研究进展
尹娟， 范医鲁， 秦绍华 - 中国医疗设备, 2019 - cs.china-cmd.org
… speed and accuracy. CT reconstruction algorithms … of CT reconstruction based on compressed
sensing was … 常用的稀疏化有L0 范 数,L1 范数,TV(Total Variation)以及字典学习等不同方 法,…
sensing was … 常用的稀疏化有L0 范 数,L1 范数,TV(Total Variation)以及字典学习等不同方 法,…
线性混合光谱模型高光谱压缩感知
王忠良， 何密， 叶珍， 粘永健 - 遥感学报, 2021 - ygxb.ac.cn
… For hyperspectral compressed sensing method on linear … 因此本文在估 计过程中引入全变分
TV (Total Variation)约束项; … geometrical, statistical, and sparse regression-based approaches. …
TV (Total Variation)约束项; … geometrical, statistical, and sparse regression-based approaches. …
[PDF][PDF] 基于随机采样的超高分辨率成像中快速压缩感知分析
王中阳， 周燕飞， 张小伟， 沈灏， 李恩荣， 韩申生… - 红外与激光 …, 2017 - researching.cn
… In this paper, a fast compressed sensing method was … reconstruction method, have a good
performance of localization … (Total Variation Minimization袁TVmin)优化是非常费时的遥为了与…
performance of localization … (Total Variation Minimization袁TVmin)优化是非常费时的遥为了与…
一种基于全变分技术和Lp伪范数的椒盐噪声去除方法.
许基隆， 陈颖频 - Journal of Data Acquisition & Processing …, 2020 - search.ebscohost.com
… 种,如:全变分(Total variation,TV)方法,TV 方法分为各向异性全… Distributed optimization and
statistical learning via the alternating … Compressed sensing recovery via nonconvex shrinkage …
statistical learning via the alternating … Compressed sensing recovery via nonconvex shrinkage …
一种基于全差分正则化的高效InSAR 降噪方法
XM Luo, XF Wang, ZY Suo, ZF Li - Science China Information Sciences, 2015 - Springer
… problem in InSAR based on the Bayesian statistical formulation [… Hence, we use a total
variation regularization term to … ), and it is the whole perspective of ADMM convergent speed. If the …
variation regularization term to … ), and it is the whole perspective of ADMM convergent speed. If the …