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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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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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Subspace Methods for System Identification

; system theory; stochastic processes; and Kalman filtering. Part II explains realization theory as applied to subspace identification. Stochastic;

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Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representa

This book treats the topic of extending the adaptive filtering theory in the context of massive multichannel systems by taking into account;

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Optimal Filtering

communication systems and digital filtering theory. Vital for students in the fields of control and communications, its contents are also relevant to;

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Kalman Filtering: With Real-Time Applications

for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet;

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Kalman Filtering: With Real-Time Applications

for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet;

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Multi model Jumping Systems Robust Filtering and Fault Detection

combining stochastic jumping system, neural network and fuzzy models. It focuses on robust filtering, including finite-time robust filtering, finite;

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Identification Of Time-Varying Processes

Identification of Time-Varying Processes offers a comprehensive treatment of the key issue in adaptive systems: tracking of time-varying;

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Cognitively Inspired Audiovisual Speech Filtering

approaches that make use of this relationship are also discussed. A novel multimodal speech enhancement system, making use of both visual and audio;

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Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

In the context of systems and control, incomplete information refers to a dynamical system in which knowledge about the system states;

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Approximate Kalman Filtering

Kalman filtering algorithm gives optimal (linear, unbiased and minimum error-variance) estimates of the unknown state vectors of a linear;

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Nonlinear Filtering

dynamic control systems and system states and a brief description of the Kalman filter. In the following chapters, various state estimation;

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Trends in Control

advances in linear-quadratic regulation, robust control and filtering, system parameter identification, automative control and control of large;

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Predictive Filtering for Microsatellite Control System

filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically;

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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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Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities

The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design;

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Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities

The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design;

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Text Retrieval and Filtering

performance of retrieval and filtering systems. The book describes means by which retrieval may be studied analytically, allowing one to describe;

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ModelBased Processing

system identification problems, this book teaches readers to identify models quickly and incorporate them into various processing problems;

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Noise Reduction Based on Microphone Array and Post-Filtering

system and speech communication system, in practical environments. For example, for automatic speech recognition system, noises result in the;

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Microsoft Dynamics Nav

Duplicating entire ERP system locally for backup, testing and mobile use - Navigation, sorting and filtering - Developers environment and;

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Adaptive Filtering

This book is a collaboration of researches by renowned experts in the field of adaptive filtering. This system is used to characterize;

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Advances in Fault Detection and Diagnosis Using Filtering Analysis

the ellipsoid, polyhedron, interval, to describe the feasible parameter sets of the given system. Both principles and engineering practice;

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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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Nonlinear Stochastic Systems with Network-Induced Phenomena

This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced;

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An Introduction to Wavelets and Other Filtering Methods in Finance and Economics

An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a;

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