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Subspace Methods for System Identification

An in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced;

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ModelBased Processing

A bridge between the application of subspace-based methods for parameter estimation in signal processing and subspace-based system;

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Linear Parameter-varying System Identification

This review volume reports the state-of-the-art in Linear Parameter Varying (LPV) system identification. Written by world renowned;

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Control Oriented Modelling & Identificat

-based model reduction techniques; integrated modelling and parameter estimation; identification for robust control of complex systems; subspace;

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System Identification

Appropriate for courses in System Identification. This book is a comprehensive and coherent description of the theory, methodology and;

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Statistical Methods in Control & Signal Processing

Presenting statistical and stochastic methods for the analysis and design of technological systems in engineering and applied areas, this;

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Krylov Subspace Methods with Application in Incompressible Fluid Flow Solvers

A succinct and complete explanation of Krylov subspace methods for solving systems of equations Krylov Subspace Methods with;

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Identification Of Dynamic Systems

methods. Some methods for nonlinear system identification are also considered, such as the Extended Kalman filter and neural networks. The;

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Krylov Subspace Methods

The mathematical theory of Krylov subspace methods with a focus on solving systems of linear algebraic equations is given a detailed;

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Speech Enhancement

Speech enhancement is a classical problem in signal processing, yet still largely unsolved. Two of the conventional approaches for;

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Narrowband Direction of Arrival Estimation for Antenna Arrays

This book provides an introduction to narrowband array signal processing, classical and subspace-bas;...

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Narrowband Direction of Arrival Estimation for Antenna Arrays

This book provides an introduction to narrowband array signal processing, classical and subspace-bas;...

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Multi-Pitch Estimation

. In this book, an introduction to pitch estimation is given and a number of statistical methods for pitch estimation are presented. The basic;

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System Identification

use when prior system knowledge is very limited; * time-invariant identification for systems with constant parameters; * time-varying;

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Outlier Analysis

chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for;

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Outlier Analysis

chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for;

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Mastering System Identification in 100 Exercises

This book enables readers to understand system identification and linear system modeling through 100 practical exercises without requiring;

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Aircraft and Rotorcraft System Identification

models and trim test data. Topics Discussed include: Frequency-response methods that are especially well suited for system identification;

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Identification Methods for Structural Health Monitoring

The papers in this volume provide an introduction to well known and established system identification methods for structural health;

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Advanced Nonlinear Strategies for Vibration Mitigation and System Identification

The papers in this volume address advanced nonlinear topics in the general areas of vibration mitigation and system identification, such as;

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Modeling and Control of Batch Processes

-model and partial least squares techniques; a generalization of the subspace identification approach for batch processes; and applications to;

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Computational Methods for Electromagnetic Inverse Scattering

A comprehensive and updated overview of the theory, algorithms and applications of for electromagnetic inverse scattering problems;

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Identification of Continuous-Time Systems

models for CT system identification, bring them into mainstream model parameterization via basis functions, present a;

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Adaptive Learning Methods for Nonlinear System Modeling

methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes;

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Errors-in-Variables Methods in System Identification

This book presents an overview of the different errors-in-variables (EIV) methods that can be used for system identification. Readers will;

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Network Coding and Subspace Designs

Coding; Codes for Distributed Storage Systems. The outcomes reflect research conducted within the framework of the European COST Action IC1104;

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Filtering and System Identification

Filtering and system identification are powerful techniques for building models of complex systems. This 2007 book discusses the design;

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