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在“
SpringerLink电子期刊
”中,
命中:
7,567
条,耗时:0.0299825 秒
在所有数据库中总计命中:
42,854
条
1.
Angle estimation
error
reduction method using weighted IMM and least
square
s
作者:
Seong Hee Choi
;
Taek Lyul Song
关键词:
Angle estimation
error
;
interacting multiple model
;
least
square
s
;
weighted interacting multiple model
刊名:International Journal of Control, Automation and Systems
出版年:2017
2.
Bayesian inference for the
Error
s-In-Variables model
作者:
Xing Fang
;
Bofeng Li
;
Hamza Alkhatib
;
Wenxian Zeng…
关键词:
Error
s
;
In
;
Variables
;
Total Least
;
Square
s
;
Bayesian inference
;
quasi solution
;
Maximum Likelihood
;
noninformative prior
;
informative prior
刊名:Studia Geophysica et Geodaetica
出版年:2017
3.
Generalized varying coefficient partially linear measurement
error
s models
作者:
Jun Zhang
;
Zhenghui Feng
;
Peirong Xu…
关键词:
Ancillary variables
;
Error
s
;
in
;
variable
;
Error
prone
;
LASSO
;
Measurement
error
s
;
Quasi
;
likelihood
;
Penalized quasi
;
likelihood
;
SCAD
;
Varying coefficient models
刊名:Annals of the Institute of Statistical Mathematics
出版年:2017
4.
Statistical performance analysis of direct position determination method based on doppler shifts in presence of model
error
s
作者:
Ding Wang
;
Ying Wu
关键词:
Direct position determination (DPD)
;
Narrowband emitter
;
Doppler shift
;
Eigen
;
perturbation
;
Mean
square
error
(MSE)
;
Success probability
;
Cramér
;
Rao bound (CRB)
刊名:Multidimensional Systems and Signal Processing
出版年:2017
5.
A Variable Step-Size Strategy Based on
Error
Function for Sparse System Identification
作者:
Tao Fan
;
Yun Lin
关键词:
Adaptive filtering
;
Least mean
square
;
Sparse channel estimation
;
Reweighted zero
;
point attracting
;
Variable step size
;
System identification
刊名:Circuits, Systems, and Signal Processing
出版年:2017
6.
An adaptive local linear optimized radial basis functional neural network model for financial time series prediction
作者:
A. Patra
;
S. Das
;
S. N. Mishra
;
M. R. Senapati
关键词:
Local linear radial basis functional neural network (LLRBFNN)
;
Radial basis functional neural network (RBFNN)
;
Multilayer perceptron (MLP)
;
Recursive least
square
(RLS)
;
Mean
square
d
error
(MSE)
刊名:Neural Computing and Applications
出版年:2017
7.
Using LASSO for formulating constraint of least-
square
s programming for solving one-norm equality constrained problem
作者:
Ya Li
;
Bingo Wing-Kuen Ling
;
Langxiong Xie…
关键词:
One
;
norm equality constrained optimization
;
Least absolute shrinkage and selection operator optimization
;
Iterative shrinkage algorithm
;
Fast iterative shrinkage thresholding algorithm
;
Least
;
square
s constrained optimization
;
Nonconvex optimization
刊名:Signal, Image and Video Processing
出版年:2017
8.
Computational Fluid Dynamics Analysis on Radiation
Error
of Surface Air Temperature Measurement
作者:
Jie Yang
;
Qing-Quan Liu
;
Ren-Hui Ding
关键词:
Computational fluid dynamics
;
Naturally ventilated radiation shield
;
Radiation
error
;
Surface air temperature
刊名:International Journal of Thermophysics
出版年:2017
9.
Design and Analysis of Cascaded LMS Adaptive Filters for Noise Cancellation
作者:
Shubhra Dixit
;
Deepak Nagaria
关键词:
Adaptive noise cancellation
;
LMS filter
;
Step size
;
Error
signal
;
Signal
;
to
;
noise ratio (SNR)
;
Mean
square
error
(MSE)
刊名:Circuits, Systems, and Signal Processing
出版年:2017
10.
On the equivalence of Kalman filtering and least-
square
s estimation
作者:
E. Mysen
关键词:
Kalman filter
;
Least
;
square
s method
;
Normal equations
;
Power law noise
刊名:Journal of Geodesy
出版年:2017
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