科言猫
学术研究的AI总结
首页
文献互助
订阅
我的收藏
科研工具
选题分析
论文总结
专利管理
未登录
返回
Q
Quan Tian
Taizhou University
8
H指数
23
论文数
166
被引数
0
相关解读
订阅
收录论文
9
发表时间
发表时间
IF
被引数
DOA estimation via Toeplitz covariance matrix in the presence of impulsive noise
在脉冲噪声环境下基于Toeplitz协方差矩阵的DOA估计
SIGNAL IMAGE AND VIDEO PROCESSING
IF
2.1
2025-10-01
0
PRE
AI
Cai, Ruiyan; Tian, Quan; Guo, Songlin
分享
收藏
A Low-Complexity DOA Estimation Algorithm for Distributed Source Localization
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
IF
5.9
2023-01-01
13
PRE
AI
Tian, Quan; Cai, Ruiyan
分享
收藏
A Low Complexity DOA Estimation Method of CD Sources in Impulsive Noise
IEEE ACCESS
IF
3.6
2021-01-01
2
OA
AI
Cai, Ruiyan; Tian, Quan; Qiu, Tianshuang
分享
收藏
Fast Blind Equalization Using Bounded Non-Linear Function With Non-Gaussian Noise
IEEE COMMUNICATIONS LETTERS
IF
4.4
2020-08-01
14
PRE
AI
Ma, Jitong; Qiu, Tianshuang; Tian, Quan
分享
收藏
DOA Estimation for CD Sources by Complex Cyclic Correntropy in an Impulsive Noise Environment
IEEE COMMUNICATIONS LETTERS
IF
4.4
2020-05-01
20
PRE
AI
Tian, Quan; Qiu, Tianshuang; Cai, Ruiyan
分享
收藏
A novel direction finding algorithm for distributed sources under impulsive noise environments
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
IF
3.2
2020-04-01
2
PRE
AI
Tian, Quan; Qiu, Tianshuang; Cai, Ruiyan
分享
收藏
A Novel DOA Estimation for Distributed Sources in an Impulsive Noise Environment
IEEE ACCESS
IF
3.6
2020-01-01
4
OA
AI
Tian, Quan; Qiu, Tianshuang; Cai, Ruiyan; Ma, Jitong
分享
收藏
Robust adaptive DOA estimation method in an impulsive noise environment considering coherently distributed sources
SIGNAL PROCESSING
IF
3.6
2019-12-01
20
PRE
AI
Tian, Quan; Qiu, Tianshuang; Li, Jingchun; Li, Rong
分享
收藏
A Simplified DOA Estimation Method Based on Correntropy in the Presence of ImpuIsive Noise
IEEE ACCESS
IF
3.6
2018-01-01
11
OA
AI
Tian, Quan; Qiu, Tianshuang; Ma, Jitong; Li, Jingchun; Li, Rong
分享
收藏
研究方向
暂时未获取到该数据
合作学者
合作期刊
T
Tianshuang Qiu
H 指数: 30 · 论文数: 279
R
Rong Li
H 指数: 19 · 论文数: 92
李榕
(Rong Li)
H 指数: 16 · 论文数: 104
J
Jitong Ma
H 指数: 16 · 论文数: 76
J
Jingchun Li
H 指数: 15 · 论文数: 86
查看更多