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Stochastic Control and Filtering over Constrained Communication Networks

on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal;

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Optimal and Adaptive Signal Processing

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations;

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Optimal and Adaptive Signal Processing

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations;

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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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Optimal Filtering

This graduate-level text augments and extends beyond undergraduate studies of signal processing,;...

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Optimal State Estimation

practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate;

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Discrete Stochastic Processes and Optimal Filtering

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from;

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Discrete Stochastic Processes and Optimal Filtering

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from;

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GPS-Based Optimal FIR Filtering of Clock Models

This book addresses novel results in the field of optimal finite impulse response (FIR) estimation and steering of the local clock time;

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Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett

specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information;

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Adaptive Filtering Prediction and Control

estimation, and adaptive prediction and control. The second part examines stochastic systems, exploring optimal filtering and prediction, parameter;

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Blind Equalizers By Techniques Of Optimal Non-Linear Filtering Theory

nonlinear filtering problem, it has not yet been treated by all the well known advanced techniques of optimal non-linear filtering theory. In this;

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Optimal Control

, the fundamentals of optimal control theory. It covers the major topics involving measurement, principles of optimality, dynamic programming;

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Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering

solve that problem in a statistically optimal way. We review several techniques to improve the performance of particle filters, including;

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Robust Kalman Filtering for Signals and Systems With Large Uncertainties

The Kalman Filter gives an optimal estimate of the state of the given process based on output measurements. The aim of this text is to;

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Modern Trends in Controlled Stochastic Processes:

This book presents state-of-the-art solution methods and applications of stochastic optimal control. It is a collection of extended papers;

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Brownian Models of Performance and Control

role of reflected Brownian motion as a storage model, queuing model, or inventory model; optimal stopping problems for Brownian motion;

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Periodic Systems

optimal and robust control. The text focuses on discrete-time signals and systems; however, an overview of the entire field, including the;

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Optimal and Robust Estimation

estimation, under the title Optimal Estimation, used in top universities throughout the world. The time has come for a new edition of this classic;

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Kalman Filtering: With Real-Time Applications

This new edition presents a thorough discussion of the mathematical theory and computational schemes;...

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Kalman Filtering: With Real-Time Applications

This new edition presents a thorough discussion of the mathematical theory and computational schemes;...

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Filtering Resonators

Filtering Resonators;...

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Multi model Jumping Systems Robust Filtering and Fault Detection

This book focuses on multi-model systems, describing how to apply intelligent technologies to model ;...

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Sensor Fusion for Nanopositioning

ultimate aim of sensor fusion is similar. The methods of feedforward control, complementary filtering, Kalman filtering and optimal filtering;

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Ryan Carter: On a Better Filtering Algorithm .. Better Filtering Algorithm. Present Music / David Bloom, CD

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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 ;...

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Fundamentals of Kalman Filtering

Prize -- for the development and dissemination of the optimal digital technique (known as the Kalman Filter) that is pervasively used to control;

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