[PDF] Top 20 Stochastic Analysis of the LMS Algorithm for System Identification with Subspace Inputs
Has 10000 "Stochastic Analysis of the LMS Algorithm for System Identification with Subspace Inputs" found on our website. Below are the top 20 most common "Stochastic Analysis of the LMS Algorithm for System Identification with Subspace Inputs".
Stochastic Analysis of the LMS Algorithm for System Identification with Subspace Inputs
... scheme for identifying the impulse response of a sparse ...application for this scheme is in network echo cancellation (NEC). The advent of voice-over internet protocol (VoIP) ... Voir le document complet
10
Using a polynomial decoupling algorithm for state-space identification of a Bouc-Wen system
... 1: The validation output spectrum (in blue), the error of linear model (cyan) and the error of PNLSS (green) for 2 nd and 3 rd degree monomials of states and inputs ... Voir le document complet
1
On-line structured subspace identification with application to switched linear system
... Most of the subspace-based methods [19], [21] proceed by performing first orthogonal or oblique projection techniques on the data equation ...Then, the Singular Value Decom- position ... Voir le document complet
36
Stochastic Behavior Analysis of the Gaussian Kernel Least-Mean-Square Algorithm
... adaptive system identification. is infinite as in the case of Gaussian ...include the kernel least-mean-square (KLMS) algorithm [8], [9], the kernel recursive-least-square ... Voir le document complet
16
The algorithm for the analysis of combined chaotic-stochastic processes
... ), the behavior can be highly irregular and extremely ...cases the behavior is estimated like chaotic. In the first approximation, we can determine the chaocity by the property ... Voir le document complet
9
Identification of random geometry for stochastic finite element analysis
... Solution of the optimization problem The solution of optimization problem (15) is a rela- tively hard task due to the nature of function f and the possibly high ...search ... Voir le document complet
8
A Modified Non-Negative LMS Algorithm and its Stochastic Behavior Analysis
... variety of methods have been proposed in the literature to tackle the NNLS ...set algorithm of Lawson and Hanson [7] is a batch resolution technique for NNLS problems, which has ... Voir le document complet
4
Propagator-based methods for recursive subspace model identification
... Abstract The problem of the online identification of multi-input multi-output (MIMO) state-space models in the framework of discrete-time subspace methods is ... Voir le document complet
28
Subspace Identification for Linear Periodically Time-varying Systems
... whereas, the second approach suggests to find a set of output subsequences that have time-invariant ...an identification algorithm for these subsequences, which is close to the ... Voir le document complet
7
On the estimation of the latent discriminative subspace in the Fisher-EM algorithm
... presents the projections of the USPS358 dataset into the latent discriminative subspace estimated by the 3 ...previously, the empirical density of fitted clusters ... Voir le document complet
19
Subspace Identification for Linear Periodically Time-varying Systems
... motions, Subspace methods, Stability analysis 1. INTRODUCTION Over the last forty decades, subspace identification meth- ods have enjoyed some popularity and numerous applica- tions ... Voir le document complet
8
Damage analysis of laminated composites with LMS Samtech SAMCEF: validation on industrial applications
... in the aerospace industry for years. Today, the automotive sector must produce vehicles that satisfy strong regulations on gas ...because of their high stiffness and strength to density ratio, ... Voir le document complet
12
ANOVA decomposition of conditional Gaussian processes for sensitivity analysis with dependent inputs
... Sensitivity analysis, dependent inputs, Gaussian process regression, functional decomposition, complex computer ...However, the code may depend on a very large number of incomes, that can be ... Voir le document complet
28
Adaptive ESPRIT algorithm based on the PAST subspace tracker
... signal of Figure 1-a is a sum of r = 4 complex sinu- soidal sources plus a complex white gaussian noise (the SNR is ...dB). The frequencies of the sinusoids vary according to a ... Voir le document complet
5
Transient Performance Analysis of Zero-Attracting LMS
... 800. The accuracy of our models are illustrated in ...illustrates the mean weight behavior (6) of ZA-LMS with λ = ...0.01. The simulated curves (blue) and theoretical ... Voir le document complet
6
Properties of the Stochastic Approximation EM Algorithm with Mini-batch Sampling
... datasets the computing time of the classi- cal expectation-maximization (EM) algorithm (Demp- ster et ...EM, Stochastic Approximation EM, Monte Carlo Markov Chain-SAEM and others can be ... Voir le document complet
17
Operational modal analysis with non stationnary inputs
... noise, the input can contain some dominant frequency components (due to a running engine for example) ...[3]. The input of the system can also evolve in time and induce transient ... Voir le document complet
9
Conjugate gradient algorithms for minor subspace analysis
... Minor subspace analysis, Subspace ...tracking of the principal or minor subspace of a sequence of random vectors is a major problem in many applications, such as ... Voir le document complet
5
A greedy algorithm for the identification of quantum systems.
... ACKNOWLEDGMENTS The problem of identification in this context was raised during discussions with ...them for helpful inputs. This work was supported by the french ... Voir le document complet
13
Robustness of the Data-Driven Identification algorithm with altered input data
... Identifying the mechanical response of a material without presupposing any constitutive equation is possible thanks to the Data-Driven Identification algorithm developed by Leygue ... Voir le document complet
21
Sujets connexes