Machine Component Analysis With Matlab

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Machine Component Analysis with MATLAB

Machine Component Analysis with MATLAB
  • Author : Dan B. Marghitu,Mihai Dupac
  • Publisher : Butterworth-Heinemann
  • Release Date : 2019-02-12
  • Total pages : 232
  • ISBN : 9780128042458
  • File Size : 16,7 Mb
  • Total Download : 606
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Machine Design Analysis with MATLAB is a highly practical guide to the fundamental principles of machine design which covers the static and dynamic behavior of engineering structures and components. MATLAB has transformed the way calculations are made for engineering problems by computationally generating analytical calculations, as well as providing numerical calculations. Using step-by-step, real world example problems, this book demonstrates how you can use symbolic and numerical MATLAB as a tool to solve problems in machine design. This book provides a thorough, rigorous presentation of machine design, augmented with proven learning techniques which can be used by students and practicing engineers alike. Comprehensive coverage of the fundamental principles in machine design Uses symbolical and numerical MATLAB calculations to enhance understanding and reinforce learning Includes well-designed real-world problems and solutions

Machine Component Analysis with MATLAB

Machine Component Analysis with MATLAB
  • Author : Dan B. Marghitu,Mihai Dupac
  • Publisher : Butterworth-Heinemann
  • Release Date : 2019-03-15
  • Total pages : 232
  • ISBN : 9780128042298
  • File Size : 35,8 Mb
  • Total Download : 170
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Download Machine Component Analysis with MATLAB in PDF, Epub, and Kindle

Machine Design Analysis with MATLAB is a highly practical guide to the fundamental principles of machine design which covers the static and dynamic behavior of engineering structures and components. MATLAB has transformed the way calculations are made for engineering problems by computationally generating analytical calculations, as well as providing numerical calculations. Using step-by-step, real world example problems, this book demonstrates how you can use symbolic and numerical MATLAB as a tool to solve problems in machine design. This book provides a thorough, rigorous presentation of machine design, augmented with proven learning techniques which can be used by students and practicing engineers alike. Comprehensive coverage of the fundamental principles in machine design Uses symbolical and numerical MATLAB calculations to enhance understanding and reinforce learning Includes well-designed real-world problems and solutions

Mechanical Design of Machine Components

Mechanical Design of Machine Components
  • Author : Ansel C. Ugural
  • Publisher : Taylor & Francis
  • Release Date : 2018-09-03
  • Total pages : 840
  • ISBN : 9781498735407
  • File Size : 53,9 Mb
  • Total Download : 795
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Download Mechanical Design of Machine Components in PDF, Epub, and Kindle

Analyze and Solve Real-World Machine Design Problems Using SI Units Mechanical Design of Machine Components, Second Edition: SI Version strikes a balance between method and theory, and fills a void in the world of design. Relevant to mechanical and related engineering curricula, the book is useful in college classes, and also serves as a reference for practicing engineers. This book combines the needed engineering mechanics concepts, analysis of various machine elements, design procedures, and the application of numerical and computational tools. It demonstrates the means by which loads are resisted in mechanical components, solves all examples and problems within the book using SI units, and helps readers gain valuable insight into the mechanics and design methods of machine components. The author presents structured, worked examples and problem sets that showcase analysis and design techniques, includes case studies that present different aspects of the same design or analysis problem, and links together a variety of topics in successive chapters. SI units are used exclusively in examples and problems, while some selected tables also show U.S. customary (USCS) units. This book also presumes knowledge of the mechanics of materials and material properties. New in the Second Edition: Presents a study of two entire real-life machines Includes Finite Element Analysis coverage supported by examples and case studies Provides MATLAB solutions of many problem samples and case studies included on the book’s website Offers access to additional information on selected topics that includes website addresses and open-ended web-based problems Class-tested and divided into three sections, this comprehensive book first focuses on the fundamentals and covers the basics of loading, stress, strain, materials, deflection, stiffness, and stability. This includes basic concepts in design and analysis, as well as definitions related to properties of engineering materials. Also discussed are detailed equilibrium and energy methods of analysis for determining stresses and deformations in variously loaded members. The second section deals with fracture mechanics, failure criteria, fatigue phenomena, and surface damage of components. The final section is dedicated to machine component design, briefly covering entire machines. The fundamentals are applied to specific elements such as shafts, bearings, gears, belts, chains, clutches, brakes, and springs.

Fundamentals of Machine Component Design

Fundamentals of Machine Component Design
  • Author : Robert C. Juvinall,Kurt M. Marshek
  • Publisher : John Wiley & Sons
  • Release Date : 2020-06-23
  • Total pages : 800
  • ISBN : 9781119723608
  • File Size : 27,6 Mb
  • Total Download : 638
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Download Fundamentals of Machine Component Design in PDF, Epub, and Kindle

Fundamentals of Machine Component Design presents a thorough introduction to the concepts and methods essential to mechanical engineering design, analysis, and application. In-depth coverage of major topics, including free body diagrams, force flow concepts, failure theories, and fatigue design, are coupled with specific applications to bearings, springs, brakes, clutches, fasteners, and more for a real-world functional body of knowledge. Critical thinking and problem-solving skills are strengthened through a graphical procedural framework, enabling the effective identification of problems and clear presentation of solutions. Solidly focused on practical applications of fundamental theory, this text helps students develop the ability to conceptualize designs, interpret test results, and facilitate improvement. Clear presentation reinforces central ideas with multiple case studies, in-class exercises, homework problems, computer software data sets, and access to supplemental internet resources, while appendices provide extensive reference material on processing methods, joinability, failure modes, and material properties to aid student comprehension and encourage self-study.

Mechanical Design of Machine Components

Mechanical Design of Machine Components
  • Author : Ansel Ugural
  • Publisher : CRC Press
  • Release Date : 2015-01-08
  • Total pages : 1009
  • ISBN : 9781439887813
  • File Size : 20,6 Mb
  • Total Download : 661
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Download Mechanical Design of Machine Components in PDF, Epub, and Kindle

Mechanical Design of Machine Components, Second Edition strikes a balance between theory and application, and prepares students for more advanced study or professional practice. It outlines the basic concepts in the design and analysis of machine elements using traditional methods, based on the principles of mechanics of materials. The text combine

Design and Analysis of Mechanisms

Design and Analysis of Mechanisms
  • Author : Michael J. Rider
  • Publisher : John Wiley & Sons
  • Release Date : 2015-07-07
  • Total pages : 320
  • ISBN : 9781119054337
  • File Size : 10,6 Mb
  • Total Download : 372
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A planar or two-dimensional (2D) mechanism is the combination of two or more machine elements that are designed to convey a force or motion across parallel planes. For any mechanical engineer, young or old, an understanding of planar mechanism design is fundamental. Mechanical components and complex machines, such as engines or robots, are often designed and conceptualised in 2D before being extended into 3D. Designed to encourage a clear understanding of the nature and design of planar mechanisms, this book favours a frank and straightforward approach to teaching the basics of planar mechanism design and the theory of machines with fully worked examples throughout. Key Features: Provides simple instruction in the design and analysis of planar mechanisms, enabling the student to easily navigate the text and find the desired material Covers topics of fundamental importance to mechanical engineering, from planar mechanism kinematics, 2D linkage analyses and 2D linkage design to the fundamentals of spur gears and cam design Shows numerous example solutions using EES (Engineering Equation Solver) and MATLAB software, with appendices dedicated to explaining the use of both computer tools Follows end-of-chapter problems with clearly detailed solutions

Journal of Machine Learning Research

Journal of Machine Learning Research
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2007
  • Total pages : 1416
  • ISBN : UCSD:31822036045425
  • File Size : 32,8 Mb
  • Total Download : 468
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PDF book entitled Journal of Machine Learning Research written by Anonim and published by Unknown which was released on 2007 with total hardcover pages 1416, the book become popular and critical acclaim.

MATLAB for Machine Learning

MATLAB for Machine Learning
  • Author : Giuseppe Ciaburro
  • Publisher : Packt Publishing Ltd
  • Release Date : 2017-08-28
  • Total pages : 382
  • ISBN : 9781788399395
  • File Size : 11,6 Mb
  • Total Download : 345
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Download MATLAB for Machine Learning in PDF, Epub, and Kindle

Extract patterns and knowledge from your data in easy way using MATLAB About This Book Get your first steps into machine learning with the help of this easy-to-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well. What You Will Learn Learn the introductory concepts of machine learning. Discover different ways to transform data using SAS XPORT, import and export tools, Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment. Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. Learn feature selection and extraction for dimensionality reduction leading to improved performance. In Detail MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners. You'll start by getting your system ready with t he MATLAB environment for machine learning and you'll see how to easily interact with the Matlab workspace. We'll then move on to data cleansing, mining and analyzing various data types in machine learning and you'll see how to display data values on a plot. Next, you'll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You'll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you'll explore feature selection and extraction techniques for dimensionality reduction for performance improvement. At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB. Style and approach The book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work.

Electric Machines

Electric Machines
  • Author : Jimmie J. Cathey
  • Publisher : McGraw-Hill Science, Engineering & Mathematics
  • Release Date : 2001
  • Total pages : 552
  • ISBN : STANFORD:36105110300204
  • File Size : 16,5 Mb
  • Total Download : 221
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Download Electric Machines in PDF, Epub, and Kindle

This text contains sufficient material for a single semester core course in electric machines and energy conversion, while allowing some selectivity among the topics covered by the latter sections of Chapters 3-7 depending on a school's curriculum. The text can work for either a course in energy design principles and analysis with an optional design project, or for a capstone design course that follows an introductory course in energy device principles. A unique feature of "Electric Machines: Analysis and Design Applying MATLAB" is its integration of the popular interactive computer software MATLAB to handle the tedious calculations arising in electric machine analysis. As a result, more exact models of devices can be retained for analysis rather than the approximate models commonly introduced for the sake of computational simplicity.

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques
  • Author : Abdulhamit Subasi
  • Publisher : Academic Press
  • Release Date : 2019-03-16
  • Total pages : 456
  • ISBN : 9780128176733
  • File Size : 47,6 Mb
  • Total Download : 841
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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis. Provides comprehensive knowledge in the application of machine learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction Explains how to apply machine learning techniques to EEG, ECG and EMG signals Gives basic knowledge on predictive modeling in biomedical time series and advanced knowledge in machine learning for biomedical time series

Power Systems Analysis Illustrated with MATLAB and ETAP

Power Systems Analysis Illustrated with MATLAB and ETAP
  • Author : Hemchandra Madhusudan Shertukde
  • Publisher : CRC Press
  • Release Date : 2019-01-15
  • Total pages : 282
  • ISBN : 9780429792427
  • File Size : 51,7 Mb
  • Total Download : 962
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Download Power Systems Analysis Illustrated with MATLAB and ETAP in PDF, Epub, and Kindle

Electrical power is harnessed using several energy sources, including coal, hydel, nuclear, solar, and wind. Generated power is needed to be transferred over long distances to support load requirements of customers, viz., residential, industrial, and commercial. This necessitates proper design and analysis of power systems to efficiently control the power flow from one point to the other without delay, disturbance, or interference. Ideal for utility and power system design professionals and students, this book is richly illustrated with MATLAB® and Electrical Transient Analysis Program (ETAP®) to succinctly illustrate concepts throughout, and includes examples, case studies, and problems. Features Illustrated throughout with MATLAB and ETAP Proper use of positive/negative/zero sequence analysis of a given one-line diagram (OLD) associated with a grid, as well as finger-holding instructions to tackle a power system analysis (PSA) problem for a given OLD of a grid On-line evaluation of power flow, short-circuit analysis, and related PSA for a given OLD Appropriately learn the finer nuances of designing the several components of a PSA, including transmission lines, transformers, generators/motors, and illustrate the corresponding equivalent circuit Case studies from utilities and independent system operators

Condition Monitoring Algorithms in MATLAB®

Condition Monitoring Algorithms in MATLAB®
  • Author : Adam Jablonski
  • Publisher : Springer Nature
  • Release Date : 2021-01-20
  • Total pages : 527
  • ISBN : 9783030627492
  • File Size : 47,5 Mb
  • Total Download : 440
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Download Condition Monitoring Algorithms in MATLAB® in PDF, Epub, and Kindle

This book offers the first comprehensive and practice-oriented guide to condition monitoring algorithms in MATLAB®. After a concise introduction to vibration theory and signal processing techniques, the attention is moved to the algorithms. Each signal processing algorithm is presented in depth, from the theory to the application, and including extensive explanations on how to use the corresponding toolbox in MATLAB®. In turn, the book introduces various techniques for synthetic signals generation, as well as vibration-based analysis techniques for large data sets. A practical guide on how to directly access data from industrial condition monitoring systems (CMS) using MATLAB® .NET Libraries is also included. Bridging between research and practice, this book offers an extensive guide on condition monitoring algorithms to both scholars and professionals. “Condition Monitoring Algorithms in MATLAB® is a great resource for anyone in the field of condition monitoring. It is a unique as it presents the theory, and a number of examples in Matlab®, which greatly improve the learning experience. It offers numerous examples of coding styles in Matlab, thus supporting graduate students and professionals writing their own codes." Dr. Eric Bechhoefer Founder and CEO of GPMS Developer of the Foresight MX Health and Usage Monitoring System

Computational Statistics Handbook with MATLAB

Computational Statistics Handbook with MATLAB
  • Author : Wendy L. Martinez,Angel R. Martinez
  • Publisher : CRC Press
  • Release Date : 2007-12-20
  • Total pages : 792
  • ISBN : 9781420010862
  • File Size : 34,7 Mb
  • Total Download : 427
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Download Computational Statistics Handbook with MATLAB in PDF, Epub, and Kindle

As with the bestselling first edition, Computational Statistics Handbook with MATLAB, Second Edition covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as

Crop Residue Coverage Measurement Using Machine Vision

Crop Residue Coverage Measurement Using Machine Vision
  • Author : Falai Li
  • Publisher : Unknown
  • Release Date : 1997
  • Total pages : 292
  • ISBN : MINN:31951P00432336Q
  • File Size : 49,5 Mb
  • Total Download : 326
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PDF book entitled Crop Residue Coverage Measurement Using Machine Vision written by Falai Li and published by Unknown which was released on 1997 with total hardcover pages 292, the book become popular and critical acclaim.

Getting Started with MATLAB 7

Getting Started with MATLAB 7
  • Author : Rudra Pratap
  • Publisher : Oxford University Press, USA
  • Release Date : 2006
  • Total pages : 244
  • ISBN : 0195179374
  • File Size : 16,5 Mb
  • Total Download : 515
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Download Getting Started with MATLAB 7 in PDF, Epub, and Kindle

MATLAB is one of the most widely used tools in the field of engineering today. Its broad appeal lies in its interactive environment with hundreds of built-in functions. This book is designed to get you up and running in just a few hours.

Mechanical Simulation with MATLAB®

Mechanical Simulation with MATLAB®
  • Author : Dan B. Marghitu,Hamid Ghaednia,Jing Zhao
  • Publisher : Springer Nature
  • Release Date : 2021-11-11
  • Total pages : 256
  • ISBN : 9783030881023
  • File Size : 48,7 Mb
  • Total Download : 701
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Download Mechanical Simulation with MATLAB® in PDF, Epub, and Kindle

This book deals with the simulation of the mechanical behavior of engineering structures, mechanisms and components. It presents a set of strategies and tools for formulating the mathematical equations and the methods of solving them using MATLAB. For the same mechanical systems, it also shows how to obtain solutions using a different approaches. It then compares the results obtained with the two methods. By combining fundamentals of kinematics and dynamics of mechanisms with applications and different solutions in MATLAB of problems related to gears, cams, and multilink mechanisms, and by presenting the concepts in an accessible manner, this book is intended to assist advanced undergraduate and mechanical engineering graduate students in solving various kinds of dynamical problems by using methods in MATLAB. It also offers a comprehensive, practice-oriented guide to mechanical engineers dealing with kinematics and dynamics of several mechanical systems.

Exploratory Data Analysis with MATLAB

Exploratory Data Analysis with MATLAB
  • Author : Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka
  • Publisher : CRC Press
  • Release Date : 2017-08-07
  • Total pages : 686
  • ISBN : 9781315349848
  • File Size : 11,8 Mb
  • Total Download : 853
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Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data

Electrical Machine Fundamentals with Numerical Simulation using MATLAB / SIMULINK

Electrical Machine Fundamentals with Numerical Simulation using MATLAB / SIMULINK
  • Author : Atif Iqbal,Shaikh Moinoddin,Bhimireddy Prathap Reddy
  • Publisher : John Wiley & Sons
  • Release Date : 2021-04-22
  • Total pages : 832
  • ISBN : 9781119682660
  • File Size : 44,9 Mb
  • Total Download : 601
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Download Electrical Machine Fundamentals with Numerical Simulation using MATLAB / SIMULINK in PDF, Epub, and Kindle

A comprehensive text, combining all important concepts and topics of Electrical Machines and featuring exhaustive simulation models based on MATLAB/Simulink Electrical Machine Fundamentals with Numerical Simulation using MATLAB/Simulink provides readers with a basic understanding of all key concepts related to electrical machines (including working principles, equivalent circuit, and analysis). It elaborates the fundamentals and offers numerical problems for students to work through. Uniquely, this text includes simulation models of every type of machine described in the book, enabling students to design and analyse machines on their own. Unlike other books on the subject, this book meets all the needs of students in electrical machine courses. It balances analytical treatment, physical explanation, and hands-on examples and models with a range of difficulty levels. The authors present complex ideas in simple, easy-to-understand language, allowing students in all engineering disciplines to build a solid foundation in the principles of electrical machines. This book: Includes clear elaboration of fundamental concepts in the area of electrical machines, using simple language for optimal and enhanced learning Provides wide coverage of topics, aligning with the electrical machines syllabi of most international universities Contains extensive numerical problems and offers MATLAB/Simulink simulation models for the covered machine types Describes MATLAB/Simulink modelling procedure and introduces the modelling environment to novices Covers magnetic circuits, transformers, rotating machines, DC machines, electric vehicle motors, multiphase machine concept, winding design and details, finite element analysis, and more Electrical Machine Fundamentals with Numerical Simulation using MATLAB/Simulink is a well-balanced textbook perfect for undergraduate students in all engineering majors. Additionally, its comprehensive treatment of electrical machines makes it suitable as a reference for researchers in the field.

Proceedings of the 16th International Modal Analysis Conference

Proceedings of the 16th International Modal Analysis Conference
  • Author : Society for Experimental Mechanics (U.S.)
  • Publisher : Unknown
  • Release Date : 1998
  • Total pages : 1054
  • ISBN : UCSD:31822025780602
  • File Size : 21,5 Mb
  • Total Download : 298
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PDF book entitled Proceedings of the 16th International Modal Analysis Conference written by Society for Experimental Mechanics (U.S.) and published by Unknown which was released on 1998 with total hardcover pages 1054, the book become popular and critical acclaim.

MATLAB Machine Learning

MATLAB Machine Learning
  • Author : Michael Paluszek,Stephanie Thomas
  • Publisher : Apress
  • Release Date : 2016-12-28
  • Total pages : 335
  • ISBN : 9781484222508
  • File Size : 39,7 Mb
  • Total Download : 692
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Download MATLAB Machine Learning in PDF, Epub, and Kindle

This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and automatic control and how the field of machine learning grew from these. It provides descriptions of all major areas in machine learning. The book reviews commercially available packages for machine learning and shows how they fit into the field. The book then shows how MATLAB can be used to solve machine learning problems and how MATLAB graphics can enhance the programmer’s understanding of the results and help users of their software grasp the results. Machine Learning can be very mathematical. The mathematics for each area is introduced in a clear and concise form so that even casual readers can understand the math. Readers from all areas of engineering will see connections to what they know and will learn new technology. The book then provides complete solutions in MATLAB for several important problems in machine learning including face identification, autonomous driving, and data classification. Full source code is provided for all of the examples and applications in the book. What you'll learn: An overview of the field of machine learning Commercial and open source packages in MATLAB How to use MATLAB for programming and building machine learning applications MATLAB graphics for machine learning Practical real world examples in MATLAB for major applications of machine learning in big data Who is this book for: The primary audiences are engineers and engineering students wanting a comprehensive and practical introduction to machine learning.

Hyperspectral Image Analysis

Hyperspectral Image Analysis
  • Author : Saurabh Prasad,Jocelyn Chanussot
  • Publisher : Springer Nature
  • Release Date : 2020-04-27
  • Total pages : 466
  • ISBN : 9783030386177
  • File Size : 49,8 Mb
  • Total Download : 744
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This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.