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Fundamentals of Nonlinear Digital Filtering

Fundamentals of Nonlinear Digital Filtering is the first book of its kind, presenting and evaluating current methods and applications;

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Fundamentals of Nonlinear Digital Filtering

Fundamentals of Nonlinear Digital Filtering is the first book of its kind, presenting and evaluating current methods and applications;

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Nonlinear Digital Filtering with Python

Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a;

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Nonlinear Filtering

This book gives readers in-depth know-how on methods of state estimation for nonlinear control systems. It starts with an introduction to;

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Random Processes

-winning authority in digital signal processing, joins the fundamentals of random processes with the standard techniques of linear and nonlinear;

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Nonlinear Stochastic Control and Filtering with Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Nonlinear Stochastic Control and Filtering With Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Stochastic Processes & Filtering Theory

This unified treatment of linear and nonlinear filtering theory presents material previously available only in journals, and in terms;

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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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Signals and Systems Primer with MATLAB

Signals and Systems Primer with MATLAB (R) equally emphasizes the fundamentals of both analog and digital signals and systems. To ensure;

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Nonlinear Control and Filtering Using Differential Flatness Approaches

This monograph presents recent advances in differential flatness theory and analyzes its use for nonlinear control and estimation. It shows;

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Predictive Filtering for Microsatellite Control System

of spacecrafts and nonlinear systems. Unifies existing and emerging concepts concerning predictive filtering theory, state estimation, and;

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Adaptive Filtering Primer with MATLAB

Because of the wide use of adaptive filtering in digital signal processing and, because most of the modern electronic devices include some;

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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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Digital Signal Processing Fundamentals

Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues;

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Digital Signal Processing Fundamentals

Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues;

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Adaptive Filtering Primer With Matlab

Because of the wide use of adaptive filtering in digital signal processing and, because most of the modern electronic devices include some;

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Nonlinear Model-Based Image/Video Processing And Analysis

provides extensive coverage of nonlinear model-based techniques in image and video processing and analysis. This volume not only details new;

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Nonlinear Kalman Filtering for Force-Controlled Robot Tasks

This monograph focuses on how to achieve more robot autonomy by means of reliable processing skills. Nonlinear Kalman Filtering for Force;

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The Digital Signal Processing Handbook - 3 Volume Set

Now available in a three-volume set, this updated and expanded edition of the bestselling Digital Signal Processing Handbook continues to;

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Nonlinear Filters For Image Processing

"This text covers key mathematical principles and algorithms for nonlinear filters used in image processing. Readers will gain an in-depth;

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Grid-Based Nonlinear Estimation and Its Applications

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two;

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Grid-based Nonlinear Estimation and Its Applications

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two;

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Nonlinear Digital Filters

Nonlinear Digital Filters provides an easy to understand overview of nonlinear behavior in digital filters, showing how it can be;

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Variance-Constrained Multi-Objective Stochastic Control and Filtering

phenomena. It establishes a unified theoretical framework for control and filtering problems for a class of discrete-time nonlinear stochastic;

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Applied Introduction to Digital Signal Processing

For undergraduate courses in Digital Signal Processing, and for two/three-year programs in electronics or computer engineering;

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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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