|
|
|
|
|
Jingyi Hu, Junfeng Guo, Zhiyuan Rui and Zhiming Wang
To solve the problem that noise seriously affects the online monitoring of parts signals of outdoor machinery, this paper proposes a signal reconstruction method integrating deep neural network and compression sensing, called ADMM-1DNet, and gives a deta...
ver más
|
|
|
|
|
|
|
|
|
|
|
Serena Crisci, Valentina De Simone and Marco Viola
Many data analysis problems can be modeled as a constrained optimization problem characterized by nonsmooth functionals, often because of the presence of ℓ1" role="presentation">l1l1
l
1
-regularization terms. One of the most effective ways to...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yidong Chen, Chen Li and Zhonghua Lu
In this paper, we propose a parallel algorithm for a fund of fund (FOF) optimization model. Based on the structure of objective function, we create an augmented Lagrangian function and separate the quadratic term from the nonlinear term by the alternate ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Junjun Li, Lixing Yan and Bowei Xu
A new layout of the U-shaped automated terminal is more convenient to connect between the terminal and the railway. In this study, a sort of cluster scheduling method for multiple equipment between a U-shaped automated terminal yard and a railway yard is...
ver más
|
|
|
|
|
|
|
|
|
|
|
Prateek Saurabh Srivastav, Lan Chen and Arfan Haider Wahla
Channel estimation is a formidable challenge in mmWave Multiple Input Multiple Output (MIMO) systems due to the large number of antennas. Therefore, compressed sensing (CS) techniques are used to exploit channel sparsity at mmWave frequencies to calculat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aris Sarjito, Herlina June Risma Saragih, Dede Rusdiana
Pág. 303 - 312
|
|
|
|
|
|
|
|
|
|
|
Jingtong Dai and Zheng Wang
This paper focuses on the dynamic economic emission dispatch (DEED) problem, to coordinate the distributed energy resources (DERs) in a power system and achieve economical and environmental operation. Distributed energy storages (ESs) are introduced into...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hongqing Liu, Liming Hou, Zhen Luo, Yi Zhou, Xiaorong Jing and Trieu-Kien Truong
In this paper, an image recovery problem under the case of salt-and-pepper noise and data missing that degrade image quality is addressed if they are not effectively handled, where the salt-and-pepper noise as the impulsive noise is remodeled as a sparse...
ver más
|
|
|
|
|
|
|
|
|
|
|
Masaaki Nagahara, Yu Iwai and Noboru Sebe
In this paper, we propose an efficient numerical computation method of reduced-order controller design for linear time-invariant systems. The design problem is described by linear matrix inequalities (LMIs) with a rank constraint on a structured matrix, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Miguel del Alamo, Housen Li, Axel Munk and Frank Werner
Many modern statistically efficient methods come with tremendous computational challenges, often leading to large-scale optimisation problems. In this work, we examine such computational issues for recently developed estimation methods in nonparametric r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiangdong Sun, Lijun Lu, Li Qi, Yingjie Mei, Xiaoyun Liu and Wufan Chen
Electrical properties provide essential information for cancer detection and specific absorption rate (SAR) estimation. Magnetic resonance electrical properties tomography (MREPT) is an approach to retrieve the distribution of electrical properties. The ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lingzhi Wang, Yingpin Chen, Fan Lin, Yuqun Chen, Fei Yu and Zongfu Cai
Models based on total variation (TV) regularization are proven to be effective in removing random noise. However, the serious staircase effect also exists in the denoised images. In this study, two-dimensional total variation with overlapping group spars...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yunkang Du and Zuoliang Xu
In this paper, we recover the European option volatility function σ(t)" role="presentation">??(??)s(t)
s
(
t
)
of the underlying asset and the fractional order α" role="presentation" style="position: relative;">??a
a
of the time fra...
ver más
|
|
|
|
|
|