Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 20 for “"Recursive estimation"”.
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Statistical Recursive Estimation Algorithms for Speaker Adaption
… of this thesis is the development of statistical recursive estimation algorithms for speaker adaptation. In this thesis, a unified framework for recursive maximum likelihood estimation and recursive Bayesian learning is first developed and applied to direct hidden Markov model parameter …
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Scale-recursive estimation of precipitation using remote sensing data
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1996.
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Recursive estimation-maximization (R.E-M.) : an algorithm for segmentation
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
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Learning augmented recursive estimation for unceratin non-linear dynamic systems
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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Recursive estimation and spectral estimation for 2-D isotropic random fields
Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1987.
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Robust recursive estimation of the state of a discrete-time stochastic linear dynamic system in the presence of heavy-tailed observation noise
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1989.
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Algorithms in time series
… the asymptotic performance of certain parameter estimation algorithms. However, to effect the identification process in real-time recursive estimation algorithms are required. Furthermore, these procedures need to be adaptive to be applicable in practice. This is discussed in chapter 2. Technical …
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Algorithms in time series
… the asymptotic performance of certain parameter estimation algorithms. However, to effect the identification process in real-time recursive estimation algorithms are required. Furthermore, these procedures need to be adaptive to be applicable in practice. This is discussed in chapter 2. Technical …
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Learning the dynamics of deformable objects and recursive boundary estimation using curve evolution techniques
… of oceanic front and sea surface temperature estimation in oceanography, soil boundary and moisture estimation in hydrology, and left ventricle boundary estimation across a cardiac cycle in medical imaging. To accomplish joint estimation in a static image, we introduce a variational technique …
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Qualitative Adaptive Identification for Powertrain Systems. Powertrain Dynamic Modelling and Adaptive Identification Algorithms with Identifiability Analysis for Real-Time Monitoring and Detectability Assessment of Physical and Semi-Physical System Parameters
… for engine dynamometer coupling shafts based on recursive estimation of shaft’s physical parameters, the sensitivity analysis and adaptive identification of engine friction parameters, and the non-linear recursive parameter estimation with parameter estimability analysis of physical and …
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Non-Field-of-View Acoustic Target Estimation
… combination with other sensors within grid-based recursive estimation structure for tracking using nonlinear and non-Gaussian observations. Three approaches to NFOV target localization are investigated. These techniques estimate target positions within the Recursive Bayesian estimation (RBE) …
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State-space models for stream networks
… tree-structured state-space model, which allows recursive estimation of unobserved states and prediction of missing observations on the network, as well as computation of the Gaussian likelihood, even when the data are incomplete. To reduce the computational burden that may be associated with …
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On-line Nonlinear Characterization of Anisotropic Materials
… on-line manner. The proposed framework applies recursive estimation and a multi-linear model to characterize the nonlinear behavior of anisotropic materials on-line using full-field strains, which are capable of capturing the multi-axial information of anisotropic materials. A stochastic method …
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Essays in Nonparametric Econometrics
… techniques to develop an algorithm for recursive estimation of a general linear quantile regression model. The asymptotics of the proposed estimator are developed and it is shown that the asymptotic performance of the estimator is equivalent to that of the estimator obtained via standard …
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Estimation of a density function with applications to reliability
… this dissertation is to examine the problem of estimation of a univariate probability density function. Let Y₁, Y₂, …, Y<sub>n</sub> be a sample of n independent observations, each distributed according to an unknown continuous density function f(y). Given this sequence of observations, how can …
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Identification of impulsive interference channels
… distribution, the problems of basic batch estimation of the Class A parameters, recursive identification of the parameters, and efficient estimation of the parameters for small sample sizes, are investigated. Within the context of basic batch estimation, several estimators of the parameters …
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Recursive Bayesian Filtering Through a Mixture of Gaussian and Discrete Particles
… high nonlinearity plagues the state-space model. Estimation error and computational complexity for the particle filter are both related to the number of particles utilized. Yet, many researchers have observed that particles in the vicinity of one another, perhaps because they represent the same …
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Model mismatch paradigm for probe based nanoscale imaging.
… deriving a bias compensated adaptive parameter estimation strategy to determine the instantaneous equivalent cantilever model. This is used to address the challenge of quantitative imaging at high bandwidth operation by relating the estimated plant coefficients to conservative and dissipative …
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The constrained discrete-time state-dependent Riccati equation technique for uncertain nonlinear systems
The objective of the thesis is to introduce a relatively general nonlinear controller/estimator synthesis framework using a special type of the state-dependent Riccati equation technique. The continuous time state-dependent Riccati equation (SDRE) technique is extended to discrete-time under input …