This a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory.
Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is
"runsim.m". In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular
type of modulation is shown in every plot for purposes of comparison.
This software has been tested on MATLAB version 6.0 and above with signal processing and communication toolbox options.
是一本介紹java基礎(chǔ)應(yīng)用的好書
Java For Artists targets both the undergraduate computer science or information technology student and the practicing programmer. It is both an introductory-level textbook and trade book.
As a textbook it employs learning objectives, skill-building exercises, suggested projects, and self-test questions to reinforce the learning experience. The projects offered range from the easy to the extremely challenging. It covers all the topics you’d expect to find in an introductory Java programming textbook and then some.
As a trade book it goes purposefully deeper into topics cut short or avoided completely in most introductory textbooks. Its coverage of advanced GUI programming techniques, network programming and object-oriented theory will enable you to take your skills to a higher level.
用20個示例項目的方式介紹Matlab/Simulink。內(nèi)容包括：
*Contains over 20 hands-on projects in MATLAB(with code) integrated throughout the book *Includes a complete introduction to Simulink *Accompanied by a CD-ROM containing MATLAB examples, source code, third party simulations & projects *Suitable for self-study and professional licensing exams *Designed for the reader who does not have extensive math and programming experience *Contains many practical applications of MATLAB and Simulink
Range imaging offers an inexpensive and accurate means for
digitizing the shape of three-dimensional objects. Because most
objects self occlude, no single range image suffices to describe the
entire object. We present a method for combining a collection of
range images into a single polygonal mesh that completely describes
an object to the extent that it is visible from the outside.
The application described in this document is for a product that is subject to continuous developments and
improvements. All particulars of the product and its use contained in this document are given by ARM in good
faith. However, all warranties implied or expressed, including but not limited to implied warranties of
merchantability, or fitness for purpose, are excluded.
Many of the designations used by manufacturers and sellers to distinguish their products are
claimed as trademarks. Where those designations appear in this book and Addison Wesley
Longman Inc., was aware of a trademark claim, the designations have been printed in initial caps
or all caps.
The authors and publisher have taken care in the preparation of this book, but make no
expressed or implied warranty of any kind and assume no responsibility for errors or omissions.
No liability is assumed for incidental or consequential damages in connection with or arising out
of the use of the information or programs contained herein.
The publisher offers discounts on this book when ordered in quantity for special sales. For more
information, please contact:
LXI Standards Documents are developed within the LXI Consortium and LXI Technical Working
Groups sponsored by the LXI Consortium Board of Directors. The LXI Consortium develops its
standards through a consensus development process modeled after the American National Standards
Institute, which brings together volunteers representing varied viewpoints and interests to achieve
the final product. Volunteers are not necessarily members of the Consortium and serve without
compensation. While the LXI Consortium administers the process and establishes rules to promote
fairness in the consensus development process, the LXI Consortium does not exhaustively evaluate,
test, or verify the accuracy of any of the information contained in its standards.
* The IMAP toolkit provided in this Distribution is
* Copyright 2000 University of Washington.
* The full text of our legal notices is contained in the file called
* CPYRIGHT, included with this Distribution.
MATLAB implementation of time series prediction Based on the VQTAM method described in the following papers:
G. A. Barreto & A. F. R. Araujo (2004)
"Identification and Control of Dynamical Systems Using the Self-Organizing Map"
IEEE Transactions on Neural Networks, vol. 15, no. 5.
