model based estimation algorithms
Multivariate Stochastic Volatility Estimation with Sparse Grid Integration
... the estimation problems of the latent volatilities and model ...are based on Monte Carlo simulations using special sampling schemes, are by far the most studied method with several extensions and ...
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Estimation of Parameters for Model Matching using Genetic Algorithms
... Genetic Algorithms are search algorithms based on the mechanics of natural selection and natural ...Genetic Algorithms are no sim- ple random ...
6
Using Genetic Algorithms for Solving the Comparison Based Identification Problem of Multifactor Estimation Model
... This raises the problem of choosing criteria of accu- racy evaluation of the mathematical model. In the case of the classical identification the most commonly used cri- teria is the least squares, for the ...
5
BER and NCMSE based Estimation algorithms for Underwater Noisy Channels
... In wireless communication system, large delay is involved in propagation of symbols, but impulse response of sparse channel contains minor amount of non-zero taps. Such networks are used in many communication ...
5
Model-Free Uncalibrated Visual Servoing Using Recursive Least Squares
... residual based affine invariance/contravariance Newton algorithms in terms of Numerical Analysis, or an online estimation of a highly nonlinear, high dimensional, ill- conditioned and even ...
9
MIMO-OFDM CHANNEL ESTIMATION USING PILOT TONE DESIGN
... channel estimation consists of algorithms to estimate the channel at pilot frequencies and interpolation is used to find the channel at signal frequencies ...comb-type based channel estimation ...
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Feature selection for machine learning based step length estimation algorithms
... length estimation can provide valuable information to different applications such as indoor positioning systems or it can be helpful when analyzing the gait of a user, which can then be used to detect various gait ...
17
Wind Speed Estimation Based Sensorless Output Control for A Wind Turbine Driving A DFIG
... a model adaptive reference system (MRAS) observer is designed to estimate the rotating speed of the PMG by using the estimated back EMF from the sliding-mode ...Third, based on the measured electrical power ...
6
EM Based Channel Estimation Algorithms for OFDM
... channel model and pilot pattern, es- pecially in the high SNR ...Our algorithms are CRLB achievable, whereas MMSE + LI is ...our algorithms are based on the received signals of the current ...
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Research on SOC Estimation Algorithms for Aluminum Air Batteries
... an estimation simulation model based on the time integration method for aluminum air batteries is established on Matlab, as shown in ...battery based on the ampere-time integration ...
5
Shift-based density estimation for pareto-based algorithms in many-objective optimization
... island model based approaches used the idea of parallel search to divide an MOP into several sub- problems regarding the objective space [75] or the decision space ...Pareto-based algorithms ...
17
Cyclostationarity based DOA estimation algorithms for coherent signals in impulsive noise environments
... DOA estimation in wireless communica- tion, radar, sonar, and other ...the estimation accuracy, and the coherent and correlated signals caused by multipath propagation can, in turn, cause the correlation ...
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Model selection, estimation and forecasting in INAR(p) models: A likelihood-based Markov Chain approach
... the model estimated by ML but so too is the entire h-step ahead probability mass ...forecasting. Estimation uncertainty can be accom- modated by computing con…dence intervals for these ...events ...
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The realization of signal processing methods and their hardware implementation over multi-carrier modulation using FPGA technology. Validation and implementation of multi-carrier modulation on FPGA, and signal processing of the channel estimation techniques and filter bank architectures for DWT using HDL coding for mobile and wireless applications.
... health based on a platform that consist of a portable wireless body transmitter unit at the patient site and a base unit at the medical-experts/hospital site would be presented in this ...
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Support vector regression approach of modeling the superconducting transition temperature of borocarbide based superconductors
... borocarbide superconductors and their corresponding lattice parameters as extracted from literature [20]-[28]. Statistical analysis was performed on the dataset and the outcomes of the analysis are shown in table 1. The ...
6
Software Assessment Parameter Optimization using Genetic Algorithm
... Effort Estimation as Collective Accomplishment is proposed by Kristin Borte et ...effort estimation is carried out through complex series of explorative and sense-making actions, rather than by applying ...
6
Dynamic Programming Model based on Cost Minim...
... Electricity companies normally run various units and they need to be committed because electrical energy cannot be stored in a wide-scale systems and load demand is a random variable process fluctuating with the time of ...
9
AN ESTIMATION OF BLOCK NESTED LOOP ALGORITHMS BASED ON JOIN PROCESSING TIME
... join algorithms had been introduced. These join algorithms required two or more relations to perform join between them based on the join condition ...join algorithms are proposed by comparing ...
9
A GA-based Approach for Parameter Estimation in DT-MRI Tracking Algorithms
... Abstract — This paper expands upon previous work of the authors in the field of fiber tracking in diffusion tensor (DT) fields acquired via magnetic resonance (MR) imaging. Specifically, we now focus on tuning- up a ...
6
Accounting for Complex Sample Designs in Multiple Imputation Using the Finite Population Bayesian Bootstrap.
... standard model-based approaches is to impute data using a mixed/random effects model, where each cluster has its own intercept (usually assumed to be sampled from a normal distribution with zero mean ...
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