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Bayesian Real-Time System Identification

From Centralized to Distributed Approach

de Ke Huang, Ka-Veng Yuen ...

Series series Engineering (R0)
This book introduces some recent developments in Bayesian real-time system identification. It contains two different perspectives on data processing for system identification, namely centralized and distributed. A centralized Bayesian identification framework is presented to address challenging problems of real-time parameter estimation, which covers outlier detection, system, and noise parameters ... Leer más

$2,943 MXN

This book introduces some recent developments in Bayesian real-time system identification. It contains two different perspectives on data processing for system identification, namely centralized and distributed. A centralized Bayesian identification framework is presented to address challenging problems of real-time parameter estimation, which covers outlier detection, system, and noise parameters
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Advanced Kalman Filtering, Least-Squares and Modeling

A Practical Handbook

de Bruce P. Gibbs ...

This book is intended primarily as a handbook for engineers who must design practical systems.Its primary goal is to discuss model development in sufficient detail so that the reader may design an estimator that meets all application requirements and is robust to modeling assumptions. Since it is sometimes difficult to a priori determine the best model structure, use of exploratory data analysis ... Leer más

$2,428 MXN

This book is intended primarily as a handbook for engineers who must design practical systems.Its primary goal is to discuss model development in sufficient detail so that the reader may design an estimator that meets all application requirements and is robust to modeling assumptions. Since it is sometimes difficult to a priori determine the best model structure, use of exploratory data analysis
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Response Surface Methodology

Process and Product Optimization Using Designed Experiments

de Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook ...

Series series Wiley Series in Probability and Statistics
Praise for the Third Edition:“This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.”- Zentralblatt MathFeaturing a substantial revision, the Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments prese... ... Leer más

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Praise for the Third Edition:“This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.”- Zentralblatt MathFeaturing a substantial revision, the Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments prese...
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Environmental Data Analysis with MatLab

de William Menke, Joshua Menke ...

Environmental Data Analysis with MatLab is a reference work designed to teach students and researchers the basics of data analysis in the environmental sciences using MatLab, and more specifically how to analyze data sets in carefully chosen, realistic scenarios. Although written in a self-contained way, the text is supplemented with data sets and MatLab scripts that can be used as a data analysis ... Leer más

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Environmental Data Analysis with MatLab is a reference work designed to teach students and researchers the basics of data analysis in the environmental sciences using MatLab, and more specifically how to analyze data sets in carefully chosen, realistic scenarios. Although written in a self-contained way, the text is supplemented with data sets and MatLab scripts that can be used as a data analysis
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Handbook of Monte Carlo Methods

de Dirk P. Kroese, Thomas Taimre, Zdravko I. Botev ...

Series Libro 706 - Wiley Series in Probability and Statistics
A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applicationsMore and more of today’s numerical problems found in engineering and finance are solved through Monte Carlo methods. The heightened popularity of these methods and their continuing development makes it important for researchers to have a comprehensive understanding of the ... Leer más

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A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applicationsMore and more of today’s numerical problems found in engineering and finance are solved through Monte Carlo methods. The heightened popularity of these methods and their continuing development makes it important for researchers to have a comprehensive understanding of the
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Probability and Random Processes

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de Scott Miller ...

Probability and Random Processes, Second Edition presents pertinent applications to signal processing and communications, two areas of key interest to students and professionals in today's booming communications industry. The book includes unique chapters on narrowband random processes and simulation techniques. It also describes applications in digital communications, information theory, coding ... Leer más

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Probability and Random Processes, Second Edition presents pertinent applications to signal processing and communications, two areas of key interest to students and professionals in today's booming communications industry. The book includes unique chapters on narrowband random processes and simulation techniques. It also describes applications in digital communications, information theory, coding
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Introduction to Optimum Design

de Jasbir Singh Arora ...

Optimization is a mathematical tool developed in the early 1960's used to find the most efficient and feasible solutions to an engineering problem. It can be used to find ideal shapes and physical configurations, ideal structural designs, maximum energy efficiency, and many other desired goals of engineering. This book is intended for use in a first course on engineering design and optimization. ... Leer más

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Optimization is a mathematical tool developed in the early 1960's used to find the most efficient and feasible solutions to an engineering problem. It can be used to find ideal shapes and physical configurations, ideal structural designs, maximum energy efficiency, and many other desired goals of engineering. This book is intended for use in a first course on engineering design and optimization.
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State Estimation for Robotics

de Timothy D. Barfoot ...

A key aspect of robotics today is estimating the state, such as position and orientation, of a robot as it moves through the world. Most robots and autonomous vehicles depend on noisy data from sensors such as cameras or laser rangefinders to navigate in a three-dimensional world. This book presents common sensor models and practical advice on how to carry out state estimation for rotations and ... Leer más

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A key aspect of robotics today is estimating the state, such as position and orientation, of a robot as it moves through the world. Most robots and autonomous vehicles depend on noisy data from sensors such as cameras or laser rangefinders to navigate in a three-dimensional world. This book presents common sensor models and practical advice on how to carry out state estimation for rotations and
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Core Concepts in Data Analysis: Summarization, Correlation and Visualization

de Boris Mirkin ...

Series series Computer Science (R0)
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Core Concepts in Data Analysis: Summarization, Correlation and Visualizationprovides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule).Boris Mirkin takes an unconventional
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Adaptive Filtering

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de Alexander D. Poularikas ...

Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the statistical signal processing area—the least mean square (LMS) adaptive filter.This largely self-contained ... Leer más

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Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the statistical signal processing area—the least mean square (LMS) adaptive filter.This largely self-contained
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Applied State Estimation and Association

de Chaw-Bing Chang, Keh-Ping Dunn ...

Series series MIT Lincoln Laboratory Series
A rigorous introduction to the theory and applications of state estimation and association, an important area in aerospace, electronics, and defense industries.Applied state estimation and association is an important area for practicing engineers in aerospace, electronics, and defense industries, used in such tasks as signal processing, tracking, and navigation. This book offers a rigorous ... Leer más

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A rigorous introduction to the theory and applications of state estimation and association, an important area in aerospace, electronics, and defense industries.Applied state estimation and association is an important area for practicing engineers in aerospace, electronics, and defense industries, used in such tasks as signal processing, tracking, and navigation. This book offers a rigorous
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Data Science for Wind Energy

de Yu Ding ...

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including ... Leer más

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Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including
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Advanced Kalman Filtering, Least-Squares and Modeling

Response Surface Methodology

Environmental Data Analysis with MatLab

Handbook of Monte Carlo Methods

Probability and Random Processes

Introduction to Optimum Design

State Estimation for Robotics

Core Concepts in Data Analysis: Summarization, Correlation and Visualization

Adaptive Filtering

Applied State Estimation and Association

Data Science for Wind Energy