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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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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 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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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

problems. The final chapters deal with applications, addressing the development of approximate nonlinear filters, and presenting a critical;

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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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Predictive Filtering for Microsatellite Control System

>Covers advanced topics in nonlinear filtering with aerospace application;

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Nonlinear Stochastic Systems with Network-Induced Phenomena

for engineers dealing with nonlinear control and filtering problems.;

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Nonlinear Control and Filtering Using Differential Flatness Approaches

controllers obtained can be applied to a wide class of nonlinear systems with unknown dynamics, and assure reliable functioning of the control loop;

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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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Kalman Filtering: With Real-Time Applications

on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering;

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Kalman Filtering: With Real-Time Applications

on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering;

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Applied Recommender Systems with Python

This book will teach you how to build recommender systems with machine learning algorithms using Python. Recommender systems have become an;

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Applied Recommender Systems with Python

This book will teach you how to build recommender systems with machine learning algorithms using Python. Recommender systems have become an;

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Variance-Constrained Multi-Objective Stochastic Control and Filtering

systems with consideration to performance. It includes case studies of several nonlinear stochastic systems. It investigates the phenomena;

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Nonlinear Digital Filters

utilized or avoided when operating nonlinear digital filters. It gives techniques for analyzing discrete-time systems with discontinuous;

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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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Nonlinear Stochastic Systems with Incomplete Information

text begins with a focus on H filtering and control problems associated with general classes of nonlinear stochastic discrete-time systems;

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Wave and Scattering Methods for Numerical Simulation

varying and nonlinear systems. It includes an extensive bibliography containing over 250 references. Mixing theory and application with numerical;

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Filter Banks and Audio Coding

with basic knowledge of digital signal processing (sampling, filtering) to give a thorough introduction to filter banks as used in audio coding;

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

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number;

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Integrating Python with Leading Computer Forensics Platforms

, detailed instruction, and documentation that can be immediately put to useShows how to integrate Python with popular digital forensic;

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Digital Filters Design for Signal and Image Processing

Dealing with digital filtering methods for 1-D and 2-D signals, this book provides the theoretical background in signal processing;

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