[PDF] Top 20 Operational Modal Analysis using Expectation Maximization Algorithm
Has 10000 "Operational Modal Analysis using Expectation Maximization Algorithm" found on our website. Below are the top 20 most common "Operational Modal Analysis using Expectation Maximization Algorithm".
Operational Modal Analysis using Expectation Maximization Algorithm
... the Expectation Maximization ...monitoring. Modal parameters (eigenfrequencies, damping ratios and mode shapes) of the benchmark structure have been estimated applying the proposed identification ... See full document
8
Operational modal analisys using joint statistical analysis of multiple records
... rameters using information from multiple records. It is based on the Expectation-Maximitation (EM) algorithm [4, 5] that provides the maximum-likelihood estimators of the ... See full document
12
State space models for multi-setup operational modal analysis
... a maximization procedure based on the Expectation Maximization ...EM algorithm is a general- purpose method for MLE [7], that Shumway and Stoffer [8] used to estimate state space ...EM ... See full document
6
Using the EM algorithm to estimate the state space model for OMAX
... for modal testing in civil engineering include the possibility to apply artificial (measured) forces to a structure in addition to the unmeasured ambient excitation, and to identify a model that accounts for both ... See full document
13
Maximum Likelihood Estimation of Modal Parameters in Structures Using the Expectation Maximization Algorithm
... Popular time domain parametric models used for structural identification purposes include: ARX models, ARMAX models, state space models, etc. Many identification algorithms are available to estimate the parameters of ... See full document
17
An approach to operational modal analysis using the expectation maximization algorithm
... • In structures, the value of the modal parameters is not known. Applying the SSI method we compute an estimate of the parameters in a least square sense. On the other hand, the estimat[r] ... See full document
21
Matrix estimation using matrix forgetting factor and instrumental variable for nonstationary sequences with time variant matrix gain
... Ting and Chiders (1990) described a recursive least-squares algorithm with a variable FF, and introduced for speech signal analysis. The variable FF was a function of the state changes of the estimator. ... See full document
8
A hierarchical strategy for real-time tracking on-board UAVs
... of using at the same time the MP and the MR ...HMPMR-ICIA algorithm used for tracking on-board ...HMPMR-ICIA algorithm is analyzed under different conditions in Section ... See full document
11
Incremental analysis of logic programs with assertions and open predicates
... We propose a simple Horn-clause encoding of generic programs, using open predicates and assertions, and we introduce a new incremental, multivariant analysis algorithm t h a t reacts[r] ... See full document
21
Multiobjective knapsack problem using NSGA II algorithm
... Este hecho puede ser de importancia en problemas en los cuales el frente óptimo de Pareto no contenga un alto número de individuos y en donde la evaluación de la función objetivo tenga u[r] ... See full document
6
Person tracking association using multi-modal systems
... Movement features such as yaw and pitch changes are employed to associate a particular Kinect skeleton to a person using the wearable.. The entire process of sensor cal- ibration, feat[r] ... See full document
6
Computational Methods for Identification of Vibrating Structures
... Popular time domain parametric models used for structural identification purposes include: ARX models, ARMAX models, state space models, etc. Many identification algorithms are available to estimate the parameters of ... See full document
18
Simplified Procedure for the Nonlinear Seismic Analysis of Bridges
... a. l.) Modal shape and frequency vibration. This has been done using two altematives: by classical eigenvalue analysis choosing the mode with higher participation f[r] ... See full document
7
Unannounced meal analysis of the ARG algorithm
... monitoring using a glucometer and test ...control algorithm. This algorithm calculates the adequate amount of insulin to be infused to maintain the patient’s glucose concentration in a safe range ... See full document
6
Accelerating multi channel filtering of audio signal on ARM processors
... multiplication. Algorithm 1, Algorithm 2, and Algorithm 3 detail our hand-tuned vectorized implementations using NEON intrinsics of the three different filter structures: FIR, IIRI, and PIIR, ... See full document
12
A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
... However, in all comparisons made for dimension 500 a p-value < 0.05 is obtained, indicating that there is significant evidence to reject the null hypothesis. From this it is inferred that there are marked differences ... See full document
10
Analysis of temporal and spatial variation of forest A case of study in northeastern Armenia
... Change detection, however, is often complicated by a number of statistical preconditions that are intrinsic to time series of spectral vegetation indices with dense sampling intervals, but this needs to be done with care ... See full document
66
Phylogenetic Analysis Using Parsimony
... Specifies the type of tree-file to produce. NEXUS requests a file containing the standard NEXUS TREES block using a translation table (which greatly reduces the amount of disk space required to store the trees). ... See full document
130
Image Segmentation Using Ant System-based Clustering Algorithm
... The novel Ant System-based Clustering Algorithm (ASCA) proposed in this paper was inspired by the foraging behaviour of ant colonies in nature. When ants find a food source, they leave[r] ... See full document
10
Power Control for Cooperative Dynamic Spectrum Access Networks with Diverse QoS Constraints
... Focus here is placed on peer-to-peer networks where users transmit over the same bandwidth both in single- and multi- channel settings. The co-channel interference present in such networks intimately couples individual ... See full document
12
Related subjects