Zobrazeno 1 - 10
of 379
pro vyhledávání: '"LI Peili"'
Publikováno v:
Guangtongxin yanjiu, Pp 22008701-22008707 (2024)
【Objective】To meet the diverse application demands for high-performance Optical Frequency Comb (OFC), especially in terms of independently adjustable parameters like bandwidth, flatness, central wavelength, and spectral line spacing, a method bas
Externí odkaz:
https://doaj.org/article/87c7741bea0f4fa481222f2e1e955d52
The elastic net penalty is frequently employed in high-dimensional statistics for parameter regression and variable selection. It is particularly beneficial compared to lasso when the number of predictors greatly surpasses the number of observations.
Externí odkaz:
http://arxiv.org/abs/2411.14875
Sparse linear regression is one of the classic problems in the field of statistics, which has deep connections and high intersections with optimization, computation, and machine learning. To address the effective handling of high-dimensional data, th
Externí odkaz:
http://arxiv.org/abs/2411.12479
Passive radar systems can detect and track the moving targets of interest by exploiting non-cooperative illuminators-of-opportunity to transmit orthogonal frequency division multiplexing (OFDM) signals. These targets are searched using a bank of corr
Externí odkaz:
http://arxiv.org/abs/2302.09201
Over the fast few years, the numerical success of the generalized alternating direction method of multipliers (GADMM) proposed by Eckstein \& Bertsekas [Math. Prog., 1992] has inspired intensive attention in analyzing its theoretical convergence prop
Externí odkaz:
http://arxiv.org/abs/2206.03649
Autor:
Li, Peili, Cheng, Chen, Tang, Boxu, Zhao, Gan, Chen, Junhua, Xu, Yunhe, Zhang, Da, Yu, Meizhe, Ke, Xiang, Li, Zirong
Publikováno v:
In Process Biochemistry January 2025 148:222-232
A Majorized-Generalized Alternating Direction Method of Multipliers for Convex Composite Programming
The linearly constrained convex composite programming problems whose objective function contains two blocks with each block being the form of nonsmooth+smooth arises frequently in multiple fields of applications. If both of the smooth terms are quadr
Externí odkaz:
http://arxiv.org/abs/2111.12519
Magnetic Resonance Imaging (MRI) is a kind of medical imaging technology used for diagnostic imaging of diseases, but its image quality may be suffered by the long acquisition time. The compressive sensing (CS) based strategy may decrease the reconst
Externí odkaz:
http://arxiv.org/abs/2111.12298
We know that compressive sensing can establish stable sparse recovery results from highly undersampled data under a restricted isometry property condition. In reality, however, numerous problems are coherent, and vast majority conventional methods mi
Externí odkaz:
http://arxiv.org/abs/2111.12252
By the asymptotic oracle property, non-convex penalties represented by minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) have attracted much attentions in high-dimensional data analysis, and have been widely used in signal
Externí odkaz:
http://arxiv.org/abs/2111.11801