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科研机构
西安交通大学 [53]
内容类型
期刊论文 [39]
会议论文 [14]
发表日期
2019 [1]
2018 [15]
2017 [9]
2016 [2]
2015 [6]
2014 [2]
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专题:西安交通大学
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Non-Line-of-Sight Identification Based on Unsupervised Machine Learning in Ultra Wideband Systems
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 32464-32471
作者:
Fan, Jiancun
;
Awan, Ahsan Saleem
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/19
Gaussian mixture models
unsupervised machine learning
non-line-of-sight identification
ultra wideband systems
Expectation maximization
An Analytical Subthreshold Swing Model for fully-depleted MOSFETs with vertical Gaussian profile fabricated on modified silicon-on-insulator wafers
期刊论文
Microsystem Technologies, 2018
作者:
Huang, Huixiang
;
Wei, Sufen
;
Pan, Jinyan
;
Xu, Wenbin
;
Mei, Qiang
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/19
Analytical results
Experimental extraction
Gaussian profiles
Non-uniform doping
Radiation-hardened
Silicon on insulator wafers
Subthreshold swing
Technology computer aided design
Precise Point Set Registration Using Point-to-Plane Distance and Correntropy for LiDAR Based Localization
会议论文
作者:
Xu, Guanglin
;
Du, Shaoyi
;
Cui, DIxiao
;
Zhang, Sirui
;
Chen, Badong
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2019/11/19
Automated vehicles
Closed form solutions
Iterative algorithm
Localization accuracy
Non-Gaussian noise
Point-set registrations
Time consumption
Transformation parameters
Robust Spectrum Sensing Based on Hyperbolic Tangent in Gaussian and Non-Gaussian Noise Environments
会议论文
作者:
Qu, Hua
;
Xu, Xiguang
;
Zhao, Jihong
;
Yan, Feiyu
;
Wang, Weihua
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/19
Detection performance
Energy detectors
Hyperbolic tangent
Impulsive noise environment
Non-Gaussian noise
Robust spectrum sensing
Semi-blind methods
Wide-band interference
Robust Gaussian-sum ensemble Kalman filter and its application in bearings-only tracking
期刊论文
Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2018, 卷号: 35, 页码: 129-136
作者:
Jiang, Hao-Nan
;
Cai, Yuan-Li
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/19
Bearings-only tracking
Ensemble Kalman Filter
Gaussian sum
Non-Gaussian noise
Outliers
Support vector machine and higher-order cumulants based blind identification for non-linear Wiener models
期刊论文
IET SIGNAL PROCESSING, 2018, 卷号: 12, 页码: 761-769
作者:
Xu, Xiaoping
;
Wang, Feng
;
Qian, Fucai
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/11/19
inverse problems
signal processing
higher order statistics
parameter estimation
nonlinear Wiener models
stochastic processes
inverse mapping
first-order statistical property
cyclostationary input signal
blind identification method
regression analysis
support vector machine regression theory
Gaussian random signal
higher-order cumulants principle
support vector machines
Generalized Correntropy based deep learning in presence of non-Gaussian noises
期刊论文
NEUROCOMPUTING, 2018, 卷号: 278, 页码: 41-50
作者:
Chen, Liangjun
;
Qu, Hua
;
Zhao, Jihong
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
Generalized Correntropy
Deep learning
Non-Gaussian noise
Network traffic classification
Stacked autoencoders
Approximating non-Gaussian Bayesian networks using minimum information vine model with applications in financial modelling
期刊论文
JOURNAL OF COMPUTATIONAL SCIENCE, 2018, 卷号: 24, 页码: 266-276
作者:
Chatrabgoun, Omid
;
Hosseinian-Far, Amin
;
Chang, Victor
;
Stocks, Nigel G.
;
Daneshkhah, Alireza
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
Bayesian network
Vine
Probabilistic financial modelling
Entropy
Directed acyclic graph
Copula
Orthonormal series
Adaptive Unscented Kalman Filter with Correntropy Loss for Robust State of Charge Estimation of Lithium-Ion Battery
期刊论文
ENERGIES, 2018, 卷号: 11
作者:
Sun, Quan
;
Zhang, Hong
;
Zhang, Jianrong
;
Ma, Wentao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/26
SOC estimation
UKF
adaptive
correntropy loss
non-Gaussian noises
Proportionate adaptive filtering algorithms based on mixed square/fourth error criterion with unbiasedness criterion for sparse system identification
期刊论文
International Journal of Adaptive Control and Signal Processing, 2018, 卷号: 32, 页码: 1644-1654
作者:
Ma, Wentao
;
Duan, Jiandong
;
Cao, Jiuwen
;
Li, Yingsong
;
Chen, Badong
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/26
Adaptive filtering algorithms
Least mean squares
Non-Gaussian noise
proportionate
Solving sparse systems
Sparse system identification
Steady-state misalignments
unbiasedness criterion
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