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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Distributed Sparse Identification for Stochastic Dynamic Systems under Cooperative Non-Persistent Excitation Condition
协作 非持续激励条件 随机动态系统 分布式 稀疏辨识
2023/4/28
This talk considers the distributed sparse identification problem over wireless sensor networks such that all sensors cooperatively estimate the unknown sparse parameter vector of stochastic dynamic s...
Speaker Verification Using Orthogonal GMM with Fusion of Threshold,Identification Front-end,and UBM
Speaker Verification Orthogonal GMM Fusion of Threshold Identification Front-end UBM
2015/9/29
This paper shows that the performance of a Gaussian Mixture Model using a Universal Background Model (GMM-UBM) speaker verification (SV) system can be further improved by combining it with threshold a...
Identification of systems with parametric and nonparametric uncertainty
System parameters the parameter uncertainty the uncertainty information
2015/8/12
A method is presented for parameter set estimation for a system which contains both parametric and nonparametric uncertainty. Prior information is available about both types of uncertainty, but only t...
Set-membership identification of systems with parametric and nonparametric uncertainty
Parameters parameter estimation system model the parameter uncertainty
2015/8/12
A method is presented for parameter set estimation where the system model is assumed to contain both parametric and nonparametric uncertainty. In the disturbance-free case, the parameter set estimate ...
Optimal excitation signal design for frequency domain system identification using semidefinite programming
The optimal excitation signal and the dispersion function semidefinite programming linear matrix inequality (lmi)
2015/8/11
The paper discusses two methods of optimal excitation signal design for identification with Maximum Likelihood parameter estimation: The ‘classical’, dispersion function based method, and a new, semid...
Mixed linear system estimation and identification
Statistical estimation Convex relaxation Interior-point methods
2015/8/7
We consider a mixed linear system model, with both continuous and discrete inputs and outputs, described by a coefficient matrix and a set of noise variances. When the discrete inputs and outputs are ...
First-order SODE: OU processdX+aX(t)dt= dW(t)
Three options:a >0, a= 0, a <0.
First-order SPDE:du= au
xx dt+dW(t, x)
One option:a >0(Infinite-dimensional stable OU process.)
Second-order SODE:X¨ ...
Multiple Objects: Error Exponents in Hypotheses Testing and Identification
Multiple hypotheses testing LAO tests Many independent objects Dependent objects Multiobject model
2012/4/16
We servey a series of investigations of optimal testing of multiple hypotheses conserning various multiobject models. These studies are a bright instance of application of methods and technics develop...
Target Identification Using Dictionary Matching of Generalized Polarization Tensors
generalized polarization tensors target identification shape representation stability analysis
2012/4/16
The aim of this paper is to provide a fast and efficient procedure for (real-time) target identification in imaging based on matching on a dictionary of precomputed generalized polarization tensors (G...
Linear System Identification via Atomic Norm Regularization
System identification Atomic norms Hankel operators Optimization
2012/4/18
This paper proposes a new algorithm for linear system identification from noisy measurements. The proposed algorithm balances a data fidelity term with a norm induced by the set of single pole filters...
Identification of the coefficients in the linear Boltzmann equation by a finite number of boundary measurements
inverse problem linear Boltzmann equation albedo operator boundary measurements
2011/9/6
Abstract: In this paper we consider an inverse problem for the time dependent linear Boltzmann equation. It concerns the identification of the coefficients via a finite number of measurements on the b...
Hyperbolicity and identification of Berge knots of types VII and VIII
doubly primitive knot Alexander polynomial Reidemeister torsion
2011/8/23
Abstract: T. Saito and M. Teragaito asked in their paper whether Berge knots of type VII, which can be situated on the fiber surface of the lefthand trefoil, are hyperbolic, and showed that some infin...
High-dimensional ARMA model identification and its application to healthcare picture smoothing using a forgetting factor
N-dimensional ARMA Model Forgetting factor
2010/9/21
In this paper a set of formulations of an N-dimensional (ND) autoregressive-moving average (ARMA) model identification method, and a two-dimensional (2D) forgetting factor approach in time-series mode...
Convex Optimization In Identification Of Stable Non-Linear State Space Models
Convex Optimization Identification Stable Non-Linear State Space Models
2010/12/1
A new framework for nonlinear system identification is presented in terms of optimal fitting of stable nonlinear state space equations to input/output/state data, with a performance objective defined ...
Input Design for System Identification via Convex Relaxation
Input Design System Identification Convex Relaxation
2010/12/14
This paper proposes a new framework for the optimization of excitation inputs for system identification. The optimization problem considered is to maximize a reduced Fisher information matrix in any o...