A Guide to MATLAB for Beginners and Experienced Users - Hunt Lipsman & Rosenberg



Review
'As a professional trying to learn MatLab by self study I found A Guide to MATLAB the best of the four books I have tried. Three things I liked that I have not always found in other books. The progression is slow but not trivial, with short examples to test your understanding. Symbolic computation is introduced early, and not relegated to the last chapter. Comprehension is tested at stages by three exams for which the solutions are completely worked out.' George Dieter, Professor Emeritus
' ... can be recommended to students and practitioners alike.' Zentralblatt für Mathematik und ihre Grenzgebiete Mathematics Abstracts
Product Description
Here is a short, focused introduction to MATLAB, a comprehensive software system for mathematics and technical computing that should be useful to both beginning and experienced users. It contains concise explanations of essential MATLAB commands, as well as easily understood instructions for using MATLAB's programming features, graphical capabilities, and desktop interface. It also includes an introduction to SIMULINK, a companion to MATLAB for system simulation. Written for MATLAB 6, this book can also be used with earlier (and later) versions of MATLAB. Chapters contain worked-out examples of applications of MATLAB to interesting problems in mathematics, engineering, economics, and physics. In addition, it contains explicit instructions for using MATLAB's Microsoft Word interface to produce polished, integrated, interactive documents for reports, presentations, or on-line publishing. This book explains everything you need to know to begin using MATLAB. Intermediate and advanced users will find useful information here, especially if they are making the switch to MATLAB 6 from an earlier version.

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A Guide to MATLAB Object-Oriented Programming



A Guide to MATLAB Object-Oriented Programming is the first book to deliver broad coverage of the documented and undocumented object-oriented features of MATLAB®. Unlike the typical approach of other resources, this guide explains why each feature is important, demonstrates how each feature is used, and promotes an understanding of the interactions between features.
Assuming an intermediate level of MATLAB programming knowledge, the book not only concentrates on MATLAB coding techniques but also discusses topics critical to general software development. It introduces fundamentals first before integrating these concepts into example applications. In the first section, the book discusses eight basic functions: constructor, subsref, subsasgn, display, struct, fieldnames, get, and set. Building on the previous section, it explores inheritance topics and presents the Class Wizard, a powerful MATLAB class generation tool. The final section delves into advanced strategies, including containers, static variables, and function fronts.
With more than 20 years of experience designing and implementing object-oriented software, the expert author has developed an accessible and comprehensive book that aids readers in creating effective object-oriented software using MATLAB.
About the Author
Georgia Tech Research, Smyrna, USA

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Adaptive Filtering Primer with MATLAB - Poularikas and Ramadan



Highly Practical and Grounded in Real Problems: The Perfect Introduction
Because of the wide use of adaptive filtering in digital signal processing and, because most of the modern electronic devices include some type of an adaptive filter, a text that brings forth the fundamentals of this field was necessary. The material and the principles presented in this book are easily accessible to engineers, scientists, and students who would like to learn the fundamentals of this field and have a background at the bachelor level.
Adaptive Filtering Primer with Matlab® clearly explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. The authors introduce discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm. They also supply many Matlab® functions and m-files along with computer experiments to illustrate how to apply the concepts to real-world problems. The book includes problems along with hints, suggestions, and solutions for solving them. An appendix on matrix computations completes the self-contained coverage.
With applications across a wide range of areas, including radar, communications, control, medical instrumentation, and seismology, Adaptive Filtering Primer with Matlab® is an ideal companion for quick reference and a perfect, concise introduction to the field.

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Advanced Mathematics and Mechanics Applications Using MATLAB - Howard B. Wilson



Review
Material [in this book] can serve as a valuable resource for the AEM course that provides a brief exposure to numerics. It can also supplement the more heavily numerical course.
- SIAM Review, Vol. 46, No. 3 --This text refers to an out of print or unavailable edition of this title.
Product Description
The second edition of this bestselling book by Drs. Wilson and Turcotte uses MATLAB to analyze various applications in mathematics and mechanics. This modern programming environment is an excellent alternative to FORTRAN. It is an interactive environment for technical computing, and includes a high level programming language and simple graphics commands facilitating two- and three-dimensional data presentation.The applications emphasize solutions of linear and nonlinear differential equations. Linear partial differential equations and linear matrix differential equations are analyzed using eigenfunctions and series solutions. All the programs are contained on an accompanying diskette, which is organized with directories corresponding to different chapters. A group of repeatedly used functions, such as those for spline interpolation and interactive data input, comprises a separate utility library.

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Algorithm Collections for Digital Signal Processing Applications using Matlab - E.S. Gopi



The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etcetera are scattered in different fields. There is the need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in application point of view. "Algorithm Collections for Digital Signal Processing Applications using MATLAB" attempts to satisfy the above requirement. Also the algorithms are made clear using MATLAB programs.
About the Author
Dr. E.S. Gopi: 7 Years of Professional experience in academia. Lecturer since April 2005 -- National Institute of Technology, Tiruchi-15 (Formerly called as Regional Engineering College, Government of India). Senior Lecturer: 2001 --April 2005 Sri Venkateswara College of Engineering, Chennai 1999-2001- Sri Muthukumuran Institute of Technology, Chennai 1998-1999 - Raja Rajeswari Engineering College

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Antenna and EM Modeling with MATLAB - Sergey N. Makarov



An accessible and practical tool for effective antenna design
Due to the rapid development of wireless communications, the modeling of radiation and scattering is becoming more important in the design of antennas. Consequently, it is increasingly important for antenna designers and students of antenna design to have a comprehensive simulation tool.
Sergey Makarov's text utilizes the widely used Matlab(r) software, which offers a more flexible and affordable alternative to other antenna and electromagnetic modeling tools currently available. After providing the basic background in electromagnetic theory necessary to utilize the software, the author describes the benefits and many practical uses of the Matlab package. The text demonstrates how Matlab solves basic radiation/scattering antenna problems in structures that range from simple dipoles to patch antennas and patch antenna arrays. Specialized antenna types like fractal antennas and frequency selective surfaces are considered as well. Finally, the text introduces Matlab applications to more advanced problems such as broadband and loaded antennas, UWB pulse antennas, and microstrip antenna arrays.
For students and professionals in the field of antenna design, Antenna and EM Modeling with Matlab:
* Strikes an important balance between text and programming manual
* Provides numerous examples on how to calculate important antenna/target parameters
* Provides means for modifying existing codes for various individual projects
* Includes a CD-ROM with Matlab codes and antenna geometry files
The present MATLAB codes are only supported by MATLAB 5 and 6.

(.m Files)

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Applied Statistics Using SPSS, STATISTICA, MATLAB and R - Joaquim P. Marques



From the reviews:
"Aimed at students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA, this book provides a comprehensive coverage of the main statistical analysis topics a ] . The relevant notions and methods are explained concisely, illustrated with practical examples using real data, presented with the distinct intention of clarifying sensible practical issues. a ] The accompanying CD-ROM includes several specific software tools for the topics described in this book a ] ." (T. Postelnicu, Zentralblatt MATH, Vol. 1028, 2004)
From the reviews of the second edition:
"Readership: Students, professionals and research workers a ] who are interested in statistical methods and statistical program packages. The book is a a ] large treatment of many basic statistical methods and procedures. It presents both theoretical issues and a wide variety of applications, examples and exercises. These cover such areas as engineering, medicine, biology, psychology, economy, geology, and astronomy. a ] After all, I would easily recommend this book for those who are interested in the program packages mentioned in the title." (Kimmo Vehkalahti, International Statistical Review, Vol. 75 (3), 2007)
Product Description
This practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets. Readers learn which software tools to apply and gain insights into the comparative capabilities of the primary software packages. Major improvements of the second edition are the inclusion of the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers as well as extra examples and exercises.

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Business Economics & Finance with Matlab GIS and Simulation Models - Patrick L.Anderson



Review
This book presents tactics for using mathematical and simulation models to solve complex tasks of forecasting income, valuing business, predicting retail sales, evaluating markets, and solving tax and regulatory problems. It offers insight into the many calculation and modeling tools that can be remoted hosted and run over the internet. It explores the capabilities of MATLAB in business economics. Some techniques as for example fuzzy logic, retail sales, economic and fiscal impact models, and other MATLAB and Simulink models are described. … This book is for economics, finance and valuation professionals, market researchers, public policy analysts, teachers and students in graduate level classes in applied economics, and other practitioners demanding the ability to model market behavior under varying real-world conditions. …
— Klaus Ehemann, in Zentralblatt MATH, Vol. 1081, 2006/07
Product Description
This book provides a unique overview of advanced methods for solving problems in business, economics, and finance. It describes techniques, often using MATLAB and Simulink models, for finance, business valuation, retail sales prediction, tax policy, location analysis, economic impact, public policy, and other challenges faced by executives, investors, and economists on a daily basis. It offers groundbreaking insight into remotely hosted models run over the Internet, as well as the integration of geographic information. By following this blueprint, readers will be able to direct tremendously higher computational power toward the challenges of business, economics, and finance.

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