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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
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
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
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
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
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
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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
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.  


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