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Linear Estimation and Detection in Krylov Subspaces

This book focuses linear estimation theory, which is essential for effective signal processing. The first section offers a;

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Krylov Subspace Methods

minimisation properties. Projections onto highly nonlinear Krylov subspaces can be linked with the underlying problem of moments, and therefore Krylov;

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Random Processes

, estimation, and detection of random processes in noisy environments are critical tasks necessary in the analysis and design of new communications;

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Introduction to Non-Linear Mechanics. (AM-11), Volume 11

The description for this book, Introduction to Non-Linear Mechanics. (AM-11), will be forthcoming.;

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Detection and Estimation Research of High-speed Railway Catenary

final part addresses catenary estimation, including detection of contact-line wire irregularities and estimation of catenary based on spectrum;

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Dynamical Systems

structures; the stability and persistence of dynamical systems using Lyapunov functions; Krylov and Schur subspaces in construction of prediction;

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Exact Solutions and Invariant Subspaces of Nonlinear Partial Differential Equations in Mechanics and Physics

evolution equations and models from physics and mechanics, the book focuses on the existence of new exact solutions on linear invariant subspaces;

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Krylov Methods for Nonsymmetric Linear Systems

systems of algebraic linear equations and to study their mathematical properties. Solving systems of algebraic linear equations is among the most;

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Krylov Methods for Nonsymmetric Linear Systems

systems of algebraic linear equations and to study their mathematical properties. Solving systems of algebraic linear equations is among the most;

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Nonlinear Estimation & Applications to Industrial Systems Control

This book analyses recent advances in non-linear state estimation and application of such estimation schemes to industrial systems control;

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Linear and Non-Linear System Theory

Linear and Non-Linear System Theory focuses on the basics of linear and non-linear systems, optimal control and optimal estimation with an;

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Introduction To Quantum-state Estimation

estimation schemes, experimental realizations of quantum measurements and detection of single-mode multi-photon sources. Finally, the concepts;

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Introduction To Quantum-state Estimation

estimation schemes, experimental realizations of quantum measurements and detection of single-mode multi-photon sources. Finally, the concepts;

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Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications

space technique-aided fault detection and fault estimation, and their typical applications in linear/nonlinear processes such as satellite;

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Linear Programming Duality

The main theorem of Linear Programming Duality, relating a pri- mal Linear Programming problem to its dual and vice versa, can be seen;

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Dynamics of Linear Operators

in hypercyclicity, linear dynamics and ergodic theory, frequently hypercyclic and chaotic operators, hypercyclic subspaces, the angle criterion;

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Convergence of Iterations for Linear Equations

assumed to be symmetric and f is a given vector. The book discusses the convergence of Krylov subspace methods for solving fixed point problems;

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Signals, Systems and Inference, Global Edition

minimum mean-square-error estimation, and matched filtering for signal detection. Model-based approaches to inference are emphasised;

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Linear Algebra

determinants Discussions of abstract vector spaces, including subspaces, linear independence, dimension, and change of basis A treatment on defining;

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Numerical Linear Algebra: An Introduction

standard material such as direct methods for solving linear systems and least-squares problems, error, stability and conditioning, basic iterative;

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Numerical Linear Algebra

standard material such as direct methods for solving linear systems and least-squares problems, error, stability and conditioning, basic iterative;

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Introduction to Linear Algebra

advances to chapters on the plane, linear dependence, span, dimension, bases, and subspaces. Subsequent chapters explore linear transformations;

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Proceedings of the International Conference on Linear Statistical Inference Linstat '93

Inference LINSTAT '93, held in Poznan, Poland, from May 31 to June 4, 1993. Topics treated include estimation, prediction and testing in linear;

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Smart Process Plants

representation Linear, nonlinear, and dynamic data reconciliation Gross error detection, equivalency, size elimination, and estimation Accuracy;

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Change-Point Analysis in Nonstationary Stochastic Models

This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally;

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Change-Point Analysis in Nonstationary Stochastic Models

This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally;

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