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A Framework for Hardware Impairments Aware Multi-Antenna Transceiver Design in IoT Systems via Majorization-Minimization
Journal article
Gong, Shiqi, Wang, Jintao, Zhao, Xin, Ma, Shaodan, Xing, Chengwen. A Framework for Hardware Impairments Aware Multi-Antenna Transceiver Design in IoT Systems via Majorization-Minimization[J]. IEEE Internet of Things Journal, 2023, 10(1), 417-433.
Authors:
Gong, Shiqi
;
Wang, Jintao
;
Zhao, Xin
;
Ma, Shaodan
;
Xing, Chengwen
Favorite
|
TC[WOS]:
4
TC[Scopus]:
5
IF:
8.2
/
9.0
|
Submit date:2023/01/30
Average Total Mean Square Error (Mse)
Hardware
Hardware Impairments
Internet Of Things
Low-complexity Scheme
Mimo Communication
Minimization
Mm-based Iterative Algorithm
Mse Floor Effect
Optimization
Receivers
Stochastic Channel State Information (Csi) Errors
Transceivers
A robust newton iterative algorithm for acoustic location based on solving linear matrix equations in the presence of various noises
Journal article
Wang, Guancheng, Hao, Zhihao, Zhang, Bob, Fang, Leyuan, Mao, Dianhui. A robust newton iterative algorithm for acoustic location based on solving linear matrix equations in the presence of various noises[J]. Applied Intelligence, 2023, 53(2), 1219 - 1232.
Authors:
Wang, Guancheng
;
Hao, Zhihao
;
Zhang, Bob
;
Fang, Leyuan
;
Mao, Dianhui
Favorite
|
TC[WOS]:
3
TC[Scopus]:
3
IF:
3.4
/
3.9
|
Submit date:2022/05/17
Acoustic Location
Linear Equation
Newton Iterative Algorithm
Robustness
Two-Branch Deconvolutional Network with Application in Stereo Matching
Journal article
Cheng C., Li H., Zhang L.. Two-Branch Deconvolutional Network with Application in Stereo Matching[J]. IEEE Transactions on Image Processing, 2022, 31, 327-340.
Authors:
Cheng C.
;
Li H.
;
Zhang L.
Favorite
|
TC[WOS]:
7
TC[Scopus]:
6
IF:
10.8
/
12.1
|
Submit date:2022/05/17
Disparity Estimation Network
Iterative Shrinkage Thresholding Algorithm
Stereo Matching
Two-branch Deconvolutional Network
Low-Rank Matrix Recovery via Modified Schatten p Norm Minimization with Convergence Guarantees
Journal article
Zhang,Hengmin, Qian,Jianjun, Zhang,Bob, Yang,Jian, Gong,Chen, Wei,Yang. Low-Rank Matrix Recovery via Modified Schatten p Norm Minimization with Convergence Guarantees[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 29, 3132-3142.
Authors:
Zhang,Hengmin
;
Qian,Jianjun
;
Zhang,Bob
;
Yang,Jian
;
Gong,Chen
; et al.
Favorite
|
TC[WOS]:
48
TC[Scopus]:
47
IF:
10.8
/
12.1
|
Submit date:2021/03/11
Low-rank Matrix Recovery
Modified Schatten-p Norm
Iterative Singular Value Thresholding Algorithm
Kurdyka-łojasiewicz Property
Convergence Guarantees
A distributed Newton algorithm for network utility maximization in wireless ad hoc networks
Journal article
Pan, Lian, Wang, Hanwu, Jia, Weijia. A distributed Newton algorithm for network utility maximization in wireless ad hoc networks[J]. International Journal of Communication Systems, 2019, 32(15).
Authors:
Pan, Lian
;
Wang, Hanwu
;
Jia, Weijia
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
1.7
/
1.7
|
Submit date:2022/05/17
Convergence Rate
Iterative Method
Network Utility
Newton Algorithm
Wireless Ad Hoc
Reliability analysis of standby systems with multi-state elements subject to constant transition rates
Journal article
Jia,Heping, Levitin,Gregory, Ding,Yi, Song,Yonghua. Reliability analysis of standby systems with multi-state elements subject to constant transition rates[J]. Quality and Reliability Engineering International, 2018, 35(1), 318-328.
Authors:
Jia,Heping
;
Levitin,Gregory
;
Ding,Yi
;
Song,Yonghua
Favorite
|
TC[WOS]:
14
TC[Scopus]:
16
IF:
2.2
/
2.2
|
Submit date:2021/03/09
Constant Transition Rates
Iterative Algorithm
Multi-state Elements
Reliability Analysis
Standby Systems
SMT-Based Timing Analysis and Verification of Real-Time Task
Conference paper
Hai-feng Xing, Jian-tao Zhou, Xiaoyu Song, Rui-dong Qi. SMT-Based Timing Analysis and Verification of Real-Time Task[C], 2018, 711-720.
Authors:
Hai-feng Xing
;
Jian-tao Zhou
;
Xiaoyu Song
;
Rui-dong Qi
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2018/12/22
Hit/miss Classification
Iterative Optimization Algorithm
Smt
Timing Analysis
Upper Bounds On The executiOn Time