Sensitivity Analysis in Earth Observation Modelling

Author: George Petropoulos
Publisher: Elsevier
ISBN: 9780128030318
Release Date: 2016-10-07
Genre: Science

Sensitivity Analysis in Earth Observation Modeling highlights the state-of-the-art in ongoing research investigations and new applications of sensitivity analysis in earth observation modeling. In this framework, original works concerned with the development or exploitation of diverse methods applied to different types of earth observation data or earth observation-based modeling approaches are included. An overview of sensitivity analysis methods and principles is provided first, followed by examples of applications and case studies of different sensitivity/uncertainty analysis implementation methods, covering the full spectrum of sensitivity analysis techniques, including operational products. Finally, the book outlines challenges and future prospects for implementation in earth observation modeling. Information provided in this book is of practical value to readers looking to understand the principles of sensitivity analysis in earth observation modeling, the level of scientific maturity in the field, and where the main limitations or challenges are in terms of improving our ability to implement such approaches in a wide range of applications. Readers will also be informed on the implementation of sensitivity/uncertainty analysis on operational products available at present, on global and continental scales. All of this information is vital in the selection process of the most appropriate sensitivity analysis method to implement. Outlines challenges and future prospects of sensitivity analysis implementation in earth observation modeling Provides readers with a roadmap for directing future efforts Includes case studies with applications from different regions around the globe, helping readers to explore strengths and weaknesses of the different methods in earth observation modeling Presents a step-by-step guide, providing the principles of each method followed by the application of variants, making the reference easy to use and follow

Real Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK

Author: Thad B. Welch
Publisher: CRC Press
ISBN: 9781420057829
Release Date: 2005-12-21
Genre: Technology & Engineering

From personal music players to anti-lock brakes and advanced digital flight controllers, the demand for real-time digital signal processing (DSP) continues to grow. Mastering real-time DSP is one of the most challenging and time-consuming pursuits in the field, exacerbated by the lack of a resource that solidly bridges the gap between theory and practice. Recognizing that there is a better way forward, accomplished experts Welch, Wright, and Morrow offer Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK. This book collects all of the necessary tools in a single, field-tested source of unrivaled authority. The authors seamlessly integrate theory with easy-to-use, inexpensive hardware and software tools in an approachable and hands-on manner. Using abundant examples and exercises in a step-by-step approach, they work from familiar interfaces such as MATLAB® to running algorithms in real-time on industry-standard DSP hardware. For each concept, the book uses a four-step methodology: a brief review of relevant theory; demonstration of the concept in winDSK6, an easy-to-use software tool; explanation and demonstration of MATLAB techniques for implementation; and explanation of the necessary C code to implement the algorithms in real time. Covering a broad spectrum of topics in a hands-on, concise, and approachable way, Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK paves the way toward mastery of real-time DSP. Essential source code is available for download.

Technology and Safety of Marine Systems

Author: J. Wang
Publisher: Elsevier
ISBN: 0080542247
Release Date: 2003-07-22
Genre: Technology & Engineering

Traditionally society has regulated hazardous industries by detailed references to engineering codes, standards and hardware requirements. These days a risk-based approach is adopted. Risk analysis involves identifying hazards, categorizing the risks, and providing the necessary decision support to determine the necessary arrangements and measures to reach a "safe" yet economical operating level. When adopting such an approach the abundance of techniques available to express risk levels can often prove confusing and inadequate. This highly practical guide to safety and risk analysis in Marine Systems not only adds to the current techniques available, but more importantly identifies instances where traditional techniques fall short. Uncertainties that manifest within risk analysis are highlighted and alternative solutions presented. In addition to risk analysis techniques this book addresses influencing elements including: reliability, Maintenance Decision making and Human error. The highly practical approach of this title ensures it is accessible to the widest possible audience

Introduction to Simulink with Engineering Applications

Author: Steven T. Karris
Publisher: Orchard Publications
ISBN: 9780974423975
Release Date: 2006
Genre: Technology & Engineering

This text is an introduction to Simulink, a companion application to MATLAB. It is written for students at the undergraduate and graduate programs, as well as for the working professional. Although some previous knowledge of MATLAB would be helpful, it is not absolutely necessary; Appendix A of this text is an Introduction to MATLAB to enable the reader to begin learning both MATLAB and Simulink to perform graphical computations and programming.Chapters 2 through 18 describe the blocks of all Simulink libraries. Their application is illustrated with practical examples through Simulink models, some of which are supplemented with MATLAB functions, commands, and statements. Chapters 1 and 19 contain several Simulink models to illustrate various applied math and engineering applications. Appendix B is an introduction to difference equations as they apply to discrete?{time systems, and Appendix C introduces the reader to random generation procedures.This text supplements our Numerical Analysis with MATLAB and Spreadsheet Applications, ISBN 0-9709511-1-6. It is self-contained; the blocks of each library are described in an orderly fashion that is consistent with Simulink!|s documentation. This arrangement provides insight into how a model is used and how its parts interact with each another.Like MATLAB, Simulink can be used with both linear and nonlinear systems, which can be modeled in continuous time, sample time, or a hybrid of these. Examples are provided in this text.Most of the examples presented in this book can be implemented with the Student Versions of MATLAB and Simulink. A few may require the full versions of these outstanding packages, and can be skipped. Some add?{ons, known as Toolboxes and Blocksets can be obtained from The MathWorks, Inc., 3 Apple Hill Drive, Natick, MA 01760?{2098, USA, www.mathworks.com.

Matlab f r Dummies

Author: Jim Sizemore
Publisher: John Wiley & Sons
ISBN: 9783527808717
Release Date: 2016-08-01
Genre: Computers

Ob Naturwissenschaftler, Mathematiker, Ingenieur oder Datenwissenschaftler - mit MATLAB haben Sie ein mächtiges Tool in der Hand, das Ihnen die Arbeit mit Ihren Daten erleichtert. Aber wie das mit manch mächtigen Dingen so ist - es ist auch ganz schön kompliziert. Aber keine Sorge! Jim Sizemore führt Sie in diesem Buch Schritt für Schritt an das Programm heran - von der Installation und den ersten Skripten bis hin zu aufwändigen Berechnungen, der Erstellung von Grafiken und effizienter Fehlerbehebung. Sie werden begeistert sein, was Sie mit MATLAB alles anstellen können.

System Identification

Author: Rik Pintelon
Publisher: John Wiley & Sons
ISBN: 9780471660958
Release Date: 2004-04-05
Genre: Science

Electrical Engineering System Identification A Frequency DomainApproach How does one model a linear dynamic system from noisydata? This book presents a general approach to this problem, withboth practical examples and theoretical discussions that give thereader a sound understanding of the subject and of the pitfallsthat might occur on the road from raw data to validated model. Theemphasis is on robust methods that can be used with a minimum ofuser interaction. Readers in many fields of engineering will gainknowledge about: * Choice of experimental setup and experiment design * Automatic characterization of disturbing noise * Generation of a good plant model * Detection, qualification, and quantification of nonlineardistortions * Identification of continuous- and discrete-time models * Improved model validation tools and from the theoretical side about: * System identification * Interrelations between time- and frequency-domainapproaches * Stochastic properties of the estimators * Stochastic analysis System Identification: A Frequency Domain Approach is written forpracticing engineers and scientists who do not want to delve intomathematical details of proofs. Also, it is written for researcherswho wish to learn more about the theoretical aspects of the proofs.Several of the introductory chapters are suitable forundergraduates. Each chapter begins with an abstract and ends withexercises, and examples are given throughout.

Wissenschaftliches Rechnen mit MATLAB

Author: Alfio Quarteroni
Publisher: Springer-Verlag
ISBN: 9783540293071
Release Date: 2005-12-20
Genre: Mathematics

Aus den Rezensionen der englischen Auflage: Dieses Lehrbuch ist eine Einführung in das Wissenschaftliche Rechnen und diskutiert Algorithmen und deren mathematischen Hintergrund. Angesprochen werden im Detail nichtlineare Gleichungen, Approximationsverfahren, numerische Integration und Differentiation, numerische Lineare Algebra, gewöhnliche Differentialgleichungen und Randwertprobleme. Zu den einzelnen Themen werden viele Beispiele und Übungsaufgaben sowie deren Lösung präsentiert, die durchweg in MATLAB formuliert sind. Der Leser findet daher nicht nur die graue Theorie sondern auch deren Umsetzung in numerischen, in MATLAB formulierten Code. MATLAB select 2003, Issue 2, p. 50. [Die Autoren] haben ein ausgezeichnetes Werk vorgelegt, das MATLAB vorstellt und eine sehr nützliche Sammlung von MATLAB Funktionen für die Lösung fortgeschrittener mathematischer und naturwissenschaftlicher Probleme bietet. [...] Die Präsentation des Stoffs ist durchgängig gut und leicht verständlich und beinhaltet Lösungen für die Übungen am Ende jedes Kapitels. Als exzellenter Neuzugang für Universitätsbibliotheken- und Buchhandlungen wird dieses Buch sowohl beim Selbststudium als auch als Ergänzung zu anderen MATLAB-basierten Büchern von großem Nutzen sein. Alles in allem: Sehr empfehlenswert. Für Studenten im Erstsemester wie für Experten gleichermassen. S.T. Karris, University of California, Berkeley, Choice 2003.

NETLAB

Author: Ian Nabney
Publisher: Springer Science & Business Media
ISBN: 1852334401
Release Date: 2002
Genre: Computers

This volume provides students, researchers and application developers with the knowledge and tools to get the most out of using neural networks and related data modelling techniques to solve pattern recognition problems. Each chapter covers a group of related pattern recognition techniques and includes a range of examples to show how these techniques can be applied to solve practical problems. Features of particular interest include: - A NETLAB toolbox which is freely available - Worked examples, demonstration programs and over 100 graded exercises - Cutting edge research made accessible for the first time in a highly usable form - Comprehensive coverage of visualisation methods, Bayesian techniques for neural networks and Gaussian Processes Although primarily a textbook for teaching undergraduate and postgraduate courses in pattern recognition and neural networks, this book will also be of interest to practitioners and researchers who can use the toolbox to develop application solutions and new models. "...provides a unique collection of many of the most important pattern recognition algorithms. With its use of compact and easily modified MATLAB scripts, the book is ideally suited to both teaching and research." Christopher Bishop, Microsoft Research, Cambridge, UK "...a welcome addition to the literature on neural networks and how to train and use them to solve many of the statistical problems that occur in data analysis and data mining" Jack Cowan, Mathematics Department, University of Chicago, US "If you have a pattern recognition problem, you should consider NETLAB; if you use NETLAB you must have this book." Keith Worden, University of Sheffield, UK

Control Theory

Author: Torkel Glad
Publisher: CRC Press
ISBN: 0748408770
Release Date: 2000-03-30
Genre: Technology & Engineering

This is a textbook designed for an advanced course in control theory. Currently most textbooks on the subject either looks at "multivariate" systems or "non-linear" systems. However, Control Theory is the only textbook available that covers both. It explains current developments in these two types of control techniques, and looks at tools for computer-aided design, for example Matlab and its toolboxes. To make full use of computer design tools, a good understanding of their theoretical basis is necessary, and to enable this, the book presents relevant mathematics clearly and simply. The practical limits of control systems are explored, and the relevance of these to control design are discussed. Control Theory is an ideal textbook for final-year undergraduate and postgraduate courses, and the student will be helped by a series of exercises at the end of each chapter. Professional engineers will also welcome it as a core reference.

ROS Robotics By Example

Author: Carol Fairchild
Publisher: Packt Publishing Ltd
ISBN: 9781788474726
Release Date: 2017-11-30
Genre: Computers

Learning how to build and program your own robots with the most popular open source robotics programming framework About This Book Get to know the fundamentals of ROS and apply its concepts to real examples Learn how to write robotics applications without getting bogged down in hardware problems Learn to implement best practices in ROS development Who This Book Is For This book is for robotic enthusiasts, researchers and professional robotics engineers who would like to build robot applications using ROS. It gives the robotics beginner and the ROS newbie an immensely practical introduction to robot building and robotics application coding. Basic knowledge of GNU/Linux and the ability to write simple applications is assumed, but no robotics knowledge, practical or theoretical, is needed. What You Will Learn Control a robot without requiring a PhD in robotics Simulate and control a robot arm Control a flying robot Send your robot on an independent mission Learning how to control your own robots with external devices Program applications running on your robot Extend ROS itself Extend ROS with the MATLAB Robotics System Toolbox In Detail ROS is a robust robotics framework that works regardless of hardware architecture or hardware origin. It standardizes most layers of robotics functionality from device drivers to process control and message passing to software package management. But apart from just plain functionality, ROS is a great platform to learn about robotics itself and to simulate, as well as actually build, your first robots. This does not mean that ROS is a platform for students and other beginners; on the contrary, ROS is used all over the robotics industry to implement flying, walking and diving robots, yet implementation is always straightforward, and never dependent on the hardware itself. ROS Robotics has been the standard introduction to ROS for potential professionals and hobbyists alike since the original edition came out; the second edition adds a gradual introduction to all the goodness available with the Kinetic Kame release. By providing you with step-by-step examples including manipulator arms and flying robots, the authors introduce you to the new features. The book is intensely practical, with space given to theory only when absolutely necessary. By the end of this book, you will have hands-on experience on controlling robots with the best possible framework. Style and approach ROS Robotics By Example, Second Edition gives the robotics beginner as well as the ROS newbie an immensely practical introduction to robot building and robotics application coding. ROS translates as "robot operating system"; you will learn how to control a robot via devices and configuration files, but you will also learn how to write robot applications on the foundation of this operating system.

Wavelets

Author: Prof. Dr. rer. nat. Alfred Karl Louis
Publisher: Springer-Verlag
ISBN: 9783322921093
Release Date: 2013-03-09
Genre: Mathematics


MATLAB Simulink Stateflow

Author: Anne Angermann
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 9783110484892
Release Date: 2017-01-01
Genre: Technology & Engineering

Vorgestellt werden die numerische Programmiersprache MATLAB und ihre Erweiterungen Simulink und Stateflow. Außerdem werden die dazugehörigen Werkzeuge für Regelungstechnik, Signalverarbeitung und Optimierung behandelt, die zeitkontinuierliche und zeitdiskrete lineare und nichtlineare Systeme ebenso wie ereignisdiskrete Systeme betreffen können. Ausführlich wird dabei auf Control System Toolbox, Signal Processing Toolbox und Optimization Toolbox eingegangen. Die enthaltenen Beispiele und Übungsaufgaben decken einen Großteil des Anwendungsspektrums ab. Die dazugehörigen Aufgaben und Lösungen stehen zum Download zur Verfügung, ebenfalls eine Bibliothek nützlicher Extras für MATLAB und Simulink. Durch die kompakte Darstellung und die Befehlsübersichten ist dieses Buch auch als Nachschlagewerk geeignet. Die vorliegende 9. Auflage wurde gemäß der aktuellen MATLAB-Version überarbeitet und mit einigen Ergänzungen bis inklusive der im März erschienenen Release R2016a versehen.

Statistik Workshop f r Programmierer

Author: Allen B. Downey
Publisher: O'Reilly Germany
ISBN: 9783868993431
Release Date: 2012-05-31
Genre: Computers

Wenn Sie programmieren können, beherrschen Sie bereits Techniken, um aus Daten Wissen zu extrahieren. Diese kompakte Einführung in die Statistik zeigt Ihnen, wie Sie rechnergestützt, anstatt auf mathematischem Weg Datenanalysen mit Python durchführen können. Praktischer Programmier-Workshop statt grauer Theorie: Das Buch führt Sie anhand eines durchgängigen Fallbeispiels durch eine vollständige Datenanalyse -- von der Datensammlung über die Berechnung statistischer Kennwerte und Identifikation von Mustern bis hin zum Testen statistischer Hypothesen. Gleichzeitig werden Sie mit statistischen Verteilungen, den Regeln der Wahrscheinlichkeitsrechnung, Visualisierungsmöglichkeiten und vielen anderen Arbeitstechniken und Konzepten vertraut gemacht. Statistik-Konzepte zum Ausprobieren: Entwickeln Sie über das Schreiben und Testen von Code ein Verständnis für die Grundlagen von Wahrscheinlichkeitsrechnung und Statistik: Überprüfen Sie das Verhalten statistischer Merkmale durch Zufallsexperimente, zum Beispiel indem Sie Stichproben aus unterschiedlichen Verteilungen ziehen. Nutzen Sie Simulationen, um Konzepte zu verstehen, die auf mathematischem Weg nur schwer zugänglich sind. Lernen Sie etwas über Themen, die in Einführungen üblicherweise nicht vermittelt werden, beispielsweise über die Bayessche Schätzung. Nutzen Sie Python zur Bereinigung und Aufbereitung von Rohdaten aus nahezu beliebigen Quellen. Beantworten Sie mit den Mitteln der Inferenzstatistik Fragestellungen zu realen Daten.

Angewandte Statistik

Author: Lothar Sachs
Publisher: Springer-Verlag
ISBN: 9783540321613
Release Date: 2006-10-14
Genre: Mathematics

Computer unterstützen heutzutage die Anwendung statistischer Methoden. Das Programm R ist hierfür ein leicht erlernbares und flexibel einzusetzendes Werkzeug. Die 12., vollständig neu bearbeitete Auflage veranschaulicht Anwendung und Nutzen anhand zahlreicher durchgerechneter Beispiele. Sie erläutert statistische Ansätze und gibt anschaulich und praxisnah Anwendern mit unterschiedlichen Vorkenntnissen die notwendigen Details, um Daten zu gewinnen, zu beschreiben und zu beurteilen. Neben Hinweisen zur Planung und Auswertung von Studien ermöglichen Beispiele, Querverweise und ein ausführliches Sachverzeichnis den gezielten Zugang zur Statistik.