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AN IMPROVED INTERFEROMETRIC CALIBRATION METHOD BASED ON INDEPENDENT PARAMETER DECOMPOSITION
Geometric calibration Interferometric calibration Three-dimensional reconstruction model Sensitivity analysis Independent parameter decomposition
2018/5/11
Interferometric SAR is sensitive to earth surface undulation. The accuracy of interferometric parameters plays a significant role in precise digital elevation model (DEM). The interferometric calibrat...
Nonlinear Stochastic Perturbations of Dynamical Systems and Quasi-linear Parabolic PDE’s with a Small Parameter
Quasi linear parabolic equations parameters quasi linear initial boundary value
2015/9/28
In this paper we describe the asymptotic behavior, in the exponential time scale, of solutions to quasi-linear parabolic equations with a small parameter at the second order term and the long time beh...
PARAMETER CHOICE FOR FAMILIES OF MAPS WITH MANY CRITICAL POINTS
PARAMETER CHOICE MAPS WITH MANY CRITICAL POINTS
2015/9/25
We consider families of smooth one-dimensional maps with several critical points and outline the main ideas of the construction in the parameter space that allows to get infinite Markov Partitions and...
Periodic Orbits of Hybrid Systems and Parameter Estimation via AD
Hybrid Systems Parameter Estimation via AD
2015/8/25
Rhythmic, periodic processes are ubiquitous in biological systems; for example,
the heart beat, walking, circadian rhythms and the menstrual cycle. Modeling
these processes with high delity as peri...
Parameter estimation for bursting neural models
bursting neural models Parameter estimation
2015/8/25
This paper presents work on parameter estimation
methods for bursting neural models. In our
approach we use both geometrical features specific to
bursting, as well as general features such as perio...
Our motivation for studying this problem is threefold:
(i) When one fixes r = m = 0, the resulting two parameter family is a normal
form for a codimension two bifurcation within the class of planar ...
Parameter set estimation of systems with uncertain nonparametric dynamics and disturbances
Parameter set the parameter estimation system dynamics parameter estimation
2015/8/12
A method is presented for parameter set estimation of open-loop stable systems with uncertain parameters and quasi-stationary disturbances. The system model is assumed to contain both parametric and n...
Computation of the maximum H_infinity-norm of parameter-dependent linear systems by a branch and bound algorithm
Calculation algorithm parameter linear system a branch and bound algorithm linear system
2015/8/12
For linear systems that contain unspecified parameters that lie in given intervals, we present a branch and bound algorithm for computing the maximum H_infinity-norm over the set of uncertain paramete...
Branch-and-bound algorithm for computing the minimum stability degree of parameter-dependent linear systems
Branch and bound algorithm linear systems a robust nonlinear and linear system stability the parameters of linear system
2015/8/12
We consider linear systems with unspecified parameters that lie between given upper and lower bounds. Except for a few special cases, the computation of many quantities of interest for such systems ca...
Generalization of Extended Baum-Welch Parameter Estimation for Discriminative Training and Decoding
Extended Baum-Welch optimization speech
2015/7/28
We demonstrate the generalizability of the Extended Baum-Welch (EBW) algorithm not only for HMM parameter estimation but for decoding as well. We show that there can exist a general function associate...
The Orthogonal Saturated Parameter Model and its Statistical Analysis
Orthogonal Saturated Parameter Model Statistical Analysis
2015/3/20
The Orthogonal Saturated Parameter Model and its Statistical Analysis.
Optimal Compound Orthogonal Arrays and Single Arrays for Robust Parameter Design Experiments
Compound Orthogonal Arrays Single Arrays Robust Parameter Design Experiments
2015/3/20
Optimal Compound Orthogonal Arrays and Single Arrays for Robust Parameter Design Experiments.
The Orthogonal Saturated Parameter Model and its Statistical Analysis
Orthogonal saturated parameter designs
2015/3/18
The difficulty of analyzing orthogonal saturated designs is that there
are no degrees of freedom left to estimate the error variance ,so that the ordinary
ANOVA is no more available. The paper propo...
The Relative Efficiency of the Conditional Root Square Estimation of Parameter in Inhomogeneous Equality Restricted Linear Model
Generalized Conditional Root Square Estimation Specific Conditional Root Square Estimation Relative Efficiency
2013/1/30
This paper made a discuss on the relative efficiency of the generalized conditional root square estimation and the specific conditional root square estimation in paper [1,2] in inhomogeneous equality ...
On Simulations from the Two-Parameter Poisson-Dirichlet Process and the Normalized Inverse-Gaussian Process
Dirichlet process Nonparametric Bayesian inference Normalized inverse-Gaussian process Simulation Stable law process Stick-breaking representation Two-parameter Poisson-Dirichlet process.
2012/11/23
In this paper, we develop simple, yet efficient, procedures for sampling approximations of the two-Parameter Poisson-Dirichlet Process and the normalized inverse-Gaussian process. We compare the effic...