E-LIB Suche - Ergebnisse für: Ye, Peixin

1

Sparse Signal Recovery via Rescaled Matching Pursuit:

Li, Wan ; Ye, Peixin
Axioms. 13 (2024) 5 - p. 288 , 2024

Link: https://doi.org/10.3390/..

2

The learning performance of the weak rescaled pure greedy a..:

Guo, Qin ; Liu, Xianghua ; Ye, Peixin
Journal of Inequalities and Applications. 2024 (2024) 1 - p. , 2024

Link: https://doi.org/10.1186/..

3

Approximation Properties of the Vector Weak Rescaled Pure G..:

Xu, Xu ; Guo, Jinyu ; Ye, Peixin.
Mathematics. 11 (2023) 9 - p. 2020 , 2023

Link: https://doi.org/10.3390/..

4

Efficiency of Orthogonal Matching Pursuit for Group Sparse ..:

Shao, Chunfang ; Wei, Xiujie ; Ye, Peixin.
Axioms. 12 (2023) 4 - p. 389 , 2023

Link: https://doi.org/10.3390/..

5

Approximation by the Extended Neural Network Operators of K..:

Xiang, Chenghao ; Zhao, Yi ; Wang, Xu.
Mathematics. 11 (2023) 8 - p. 1903 , 2023

Link: https://doi.org/10.3390/..

6

Silicon based integrated photonic chip technology for datac..:

Ye, Peixin
Journal of Physics: Conference Series. 2649 (2023) 1 - p. 012005 , 2023

Link: https://doi.org/10.1088/..

7

A multi-point collaborative DDoS defense mechanism for IIoT..:

Huang, Hongcheng ; Ye, Peixin ; Hu, Min.
Digital Communications and Networks. 9 (2023) 2 - p. 590-601 , 2023

Link: https://doi.org/10.1016/..

8

Optimality of the Approximation and Learning by the Rescale..:

Zhang, Wenhui ; Ye, Peixin ; Xing, Shuo.
Axioms. 11 (2022) 9 - p. 437 , 2022

Link: https://doi.org/10.3390/..

9

Complexity of Monte Carlo integration for Besov classes on ..:

Duan, Liqin ; Ye, Peixin ; Li, Wan
Annals of Functional Analysis. 14 (2022) 1 - p. , 2022

Link: https://doi.org/10.1007/..

10

Approximation Properties of the Blending-Type Bernstein–Dur..:

Liu, Yu-Jie ; Cheng, Wen-Tao ; Zhang, Wen-Hui.
Axioms. 12 (2022) 1 - p. 5 , 2022

Link: https://doi.org/10.3390/..

11

Almost Optimality of the Orthogonal Super Greedy Algorithm ..:

Shao, Chunfang ; Chang, Jincai ; Ye, Peixin..
Axioms. 11 (2022) 5 - p. 186 , 2022

Link: https://doi.org/10.3390/..

12

Error analysis of the moving least-squares regression learn..:

Guo, Qin ; Ye, Peixin
International Journal of Computer Mathematics. 97 (2019) 8 - p. 1586-1602 , 2019

Link: https://doi.org/10.1080/..

13

Efficiency of orthogonal super greedy algorithm under the r..:

Wei, Xiujie ; Ye, Peixin
Journal of Inequalities and Applications. 2019 (2019) 1 - p. , 2019

Link: https://doi.org/10.1186/..

14

Lebesgue constants for Chebyshev thresholding greedy algori..:

Shao, Chunfang ; Ye, Peixin
Journal of Inequalities and Applications. 2018 (2018) 1 - p. , 2018

Link: https://doi.org/10.1186/..

15

Coefficient-based lq-regularized regression with indefinite..:

Guo, Qin ; Wang, Cheng ; Ye, Peixin
Journal of Approximation Theory. 236 (2018) - p. 1-22 , 2018

Link: https://doi.org/10.1016/..