×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
自动化研究所 [4]
沈阳自动化研究所 [4]
大连理工大学 [3]
北京大学 [2]
兰州理工大学 [1]
深圳先进技术研究院 [1]
更多...
内容类型
会议论文 [21]
发表日期
2020 [1]
2019 [1]
2018 [2]
2017 [3]
2014 [2]
2012 [4]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共21条,第1-10条
帮助
限定条件
内容类型:会议论文
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Fault Detection using Common and Specific Variable Decomposition for Nonlinear Multimode Process
会议论文
Shanghai, China, November 6-8, 2028
作者:
Li S(李帅)
;
Zhou XF(周晓锋)
;
Shi HB(史海波)
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2021/03/14
fault detection
nonlinear multimode process
common and specific variable decomposition
nonlinearity coefficient
PCA-KPCA-SPCA-based modeling
Unitary Low-Rank Matrix Decomposition for DOA Estimation in Nonuniform Noise
会议论文
23rd IEEE International Conference on Digital Signal Processing, DSP 2018, Shanghai, China, 2018-11-19
作者:
Zhu, Yanghui
;
Wang, Xianpeng
;
Wan, Liangtian
;
Huang, Mengxing
;
Feng, Wenlong
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/12/02
Covariance matrix
Digital signal processing
Numerical methods, Direction of arrivalestimation(DOA)
Limited snapshots
Low-rank matrices
Matrix completion
Nonuniform noise
Real-valued
Subspace-based algorithms
Uniform linear arrays, Direction of arrival
Background Reconstruction via Low Rank Tensor Factorization
会议论文
Chengdu, China, December 12-14, 2018
作者:
Zhang Y(张杨)
;
Tang YD(唐延东)
;
Chen XA(陈希爱)
;
Han Z(韩志)
;
Shen GP(沈贵萍)
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2018/12/27
background reconstruction
low rank
Tensor factorization
MoG
MRF
Sensitive Quality-Relevant Fault Monitoring using Enhanced Sparse Projection to Latent Structures
会议论文
Changsha, China, July 4-8, 2018
作者:
Bai, Xiwei
;
Wang, Xuelei
;
Tan, Jie
;
Qin, Wei
;
Zhang, Tianren
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/06/12
Tensor RPCA by Bayesian CP Factorization with Complex Noise
会议论文
2017 IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017
作者:
Chen XA(陈希爱)
;
Luo Q(罗琼)
;
Liang D(梁栋)
;
Meng DY(孟德宇)
;
Wang Y(王尧)
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2017/12/21
Bias-eliminated subspace identification by LQ decomposition against unexpected disturbance with deterministic dynamics
会议论文
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017-01-01
作者:
Zhang, Shengnan
;
Hou, Jie
;
Liu, Tao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/03
Subspace identification
load disturbance
LQ decomposition
consistent estimation
On-orbit identification of time-varying moment of inertia for spacecraft based on a recursive subspace method
会议论文
36th Chinese Control Conference, CCC 2017, Dalian, China, July 26-28, 2017
作者:
Ni ZY(倪智宇)
;
Shen XH(沈昕慧)
;
Liu JG(刘金国)
;
Wu ZG(吴志刚)
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2017/11/15
Recursive subspace method
time-varying system
moment of inertia
on-orbit identification
state space model
Integrating supervised subspace criteria with restricted Boltzmann Machine for feature extraction
会议论文
北京, 2014
作者:
Xie, Guo-Sen
;
Zhang, Xu-Yao
;
Zhang, Yan-Ming
;
Liu, Cheng-Lin
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2016/07/14
Rbm
FACIAL IMAGE DE-IDENTIFICATION USING IDENTIY SUBSPACE DECOMPOSITION
会议论文
作者:
Chi, Hehua
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/05
face recognition
identification of persons
data privacy
active appearance model
Improved TOPS about direction of arrival estimation for wideband signals (EI CONFERENCE)
会议论文
2011 International Conference on Vibration, Structural Engineering and Measurement, ICVSEM2011, October 21, 2011 - October 23, 2011, Shanghai, China
He B.
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2013/03/25
The study about the direction-of-arrival (DOA) estimation for wideband signals is a basic topic of Signal Processing. The method called test of orthogonality of projected subspaces (TOPS) does not require initial values to form focusing matrix compared with the coherent signal subspace method (CSSM)
but it has poor performance for coherent wideband signals at low signal-to-noise ratio (SNR). Based on the lack of the conventional TOPS
this paper reconstructs a set of new matrices with the narrowband correlated matrices coming from the DFT decomposition of the array output and modifies the method frame of the conventional TOPS. So we get a set of reconstructed matrices with full rank corresponding to each frequency bin
and which have no array aperture loss. The improved TOPS can estimate the DOA for coherent wideband sources at low SNR
and enhances the performance of the conventional TOPS. Simulation results show that the improved TOPS is effective
and the total performance of which is similar to the rotational signal-subspace (RSS) method. (2012) Trans Tech Publications.
©版权所有 ©2017 CSpace - Powered by
CSpace