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Essential Matlab for Engineers and Scientists, Fourth Edition

February 18th, 2010
Essential Matlab for Engineers and Scientists, Fourth Edition
Essential Matlab for Engineers and Scientists, Fourth Edition
Academic Press | 2009 | ISBN: 0123748836 | 480 pages | PDF | 5,5 MB
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Interactive MATLAB Technical Kit

January 15th, 2009

Interactive MATLAB Technical Kit
450 MB | ISO File | Video Tutorials

MATLAB® serves as the foundation for all MathWorks products. It includes a programming language and tools for algorithm development, data analysis, data visualization, and numeric computation.

Complete this form today to receive an interactive technical kit loaded with product demos and webinars, plus data sheets for MATLAB and Signal Processing Toolbox, the Technical Computing brochure, and the MathWorks Product Overview.
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Helmut Bode “Matlab-Simulink: Analyse und Simulation dynamischer Systeme”

December 19th, 2008

helmut-bode-matlab-simulink-analyse-und-simulation-dynamischer-systeme
Helmut Bode “Matlab-Simulink: Analyse und Simulation dynamischer Systeme”
Vieweg+Teubner | 2006-09 | ISBN: 3835100505 | 304 pages | PDF | 14,6 MB

Aus dem Inhalt: Einführung in MATLAB und Simulink, Analyse und Beschreibung nichtlinearer bzw. linearer Systeme, Linearisierung, Testsignale und Zeitantworten, Systemeigenschaften, Modelltrans-formationen, Zusammenschalten von Systemen. Kurzbeschreibung: Dieses Lehrbuch führt ausgehend von wichtigen Elementen der Continue reading Helmut Bode “Matlab-Simulink: Analyse und Simulation dynamischer Systeme”


Robotics: Modelling, Planning and Control

November 10th, 2008
Robotics: Modelling, Planning and Control
Publisher: Springer | Pages: 656 | 2008-12 | ISBN 1846286417 | PDF | 7 MB

The classic text on robot manipulators now covers visual control, motion planning and mobile robots too!

Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. The text develops around a core of consistent and rigorous formalism with fundamental and technological material giving rise naturally and with gradually increasing difficulty to more advanced considerations.
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Wavelet Transforms: Introduction to Theory & Applications

September 11th, 2008

Raghuveer M. Rao, Ajit S. Bopardikar “Wavelet Transforms: Introduction to Theory & Applications”
Prentice Hall PTR | 1998-09 | ISBN: 0201634635 | 310 pages | Djvu | 9,89 MB

Readers’ reviews:
*Dr. Rao’s approach to the Wavelet Transform takes a less traditional method to the study of this complex field. His text starts with a firm development of the fundamentals. This provides a secure foundation for the intermediate level topics to follow. He ends the book with some complex developments and new directions taken by the transform. His approach is mathematical but never looses sight of the practicality of the transform. Applications and examples are peppered throughout the text to provide the reader with reinforcing tools. Relevant exercises and projects are also provided along with Matlab routines to perform most of the topics discussed. A great text and a valuable reference. Attention is paid to the development of Filter Banks and the relationship to the Wavelet Transform. A background in Digital Filtering is recommended to any reader. Wavelet Packets are discussed along with topics in Image Compression, Denoising, Edge and Object Detection and general Wavelet Filter Design.
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Support Vector Machines for Antenna Array Processing and Electromagnetics

August 16th, 2008

 

Christos Christodoulou, Manel Martinez Ramon “Support Vector Machines for Antenna Array Processing and Electromagnetics”
Morgan and Claypool Publishers | 2006-10-01 | ISBN: 159829024X | 120 pages | PDF | 2,8 MB

Since the 1990s there has been significant activity in the theoretical development and applications of Support Vector Machines (SVMs). The theory of SVMs is based on the cross-pollenization of optimization theory, statistical learning, kernel theory, and algorithmics. So far, machine learning has largely been devoted to solving problems relating to data mining, text categorization, and pattern/facial recognition, but less so in the field of electromagnetics. Recently, popular binary machine learning algorithms, including support vector machines (SVM), have successfully been applied to wireless communication problems, notably spread spectrum receiver design and channel equalization. The aim of this book is to gently introduce SVMs in their linear and non linear forms, both as regressors and as classifiers, and to show how they can be applied to several antenna array processing problems and electromagnetics in general. The lecture is divided into three main parts. The first three chapters cover the theory of SVMs, both as classifiers and regressors. The next three chapters deal with applications in antenna array processing and other areas in electromagnetics. There are four appendices at the end of the book. The inclusion of MATLAB files will help readers start their application of the algorithms covered in the book.
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