《多傳感器數(shù)據(jù)融合手冊》 《Handbook of Multisensor Data Fusion》 作者: David L. Hall 定價: USD 199.95 出版社: CRC 出版年: 2001-06-20 簡介 · · · · · · Multisensor data fusion is an emerging technology with important applications in both the military and civilian sectors, such as target recognition, robotics, medical diagnostics, and "smart" buildings. It draws on techniques from wide-ranging disciplines, including artificial intelligence, pattern recognition, and statistical estimation. This handbook is an up-to-date, comprehensive resource for data fusion system designers and researchers. Top experts in the field lead readers from a basic introduction and survey of data fusion technology to advanced mathematics and theory and to some very practical advice for systems implementers.
標(biāo)簽： L. Multisensor Handbook 199.95
上傳時間： 2014-02-06
上傳用戶：二驅(qū)蚊器
The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG are finalising a new standard for the coding (compression) of natural video images. The new standard [1] will be known as H.264 and also MPEG-4 Part 10, “Advanced Video Coding”. This document describes the methods of filtering reconstructed blocks in an H.264 CODEC. Note that the H.264 draft standard is not yet finalised and so readers are encouraged to refer to the latest version of the standard.
標(biāo)簽： finalising standard Joint ITU-T
上傳時間： 2015-12-08
上傳用戶：fanboynet
New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas - a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below
標(biāo)簽： optimization and document MATLAB
上傳時間： 2015-12-24
上傳用戶：佳期如夢
This book provides a comprehensive introduction to the modern study of computer algorithms. It presents many algorithms and covers them in considerable depth, yet makes their design and analysis accessible to all levels of readers. We have tried to keep explanations elementary without sacrificing depth of coverage or mathematical rigor.
標(biāo)簽： comprehensive introduction algorithms provides
上傳時間： 2014-11-23
上傳用戶：ynzfm
For the development of non-contact smart card products, such as: reading and writing, charging machines, card readers, etc.!
標(biāo)簽： development non-contact charging products
上傳時間： 2013-12-29
上傳用戶：561596
The market for miniature computer programming is exploding. C++ Footprint and Performance Optimization supplies programmers the knowledge they need to write code for the increasing number of hand-held devices, wearable computers, and intelligent appliances. This book gives readers valuable knowledge and programming techniques that are not currently part of traditional programming training. In the world of C++ programming, all other things being equal, programs that are smaller and faster are better. C++ Footprint and Performance Optimization contains case studies and sample code to give readers concrete examples and proven solutions to problems that don t have cut and paste solutions.
標(biāo)簽： Performance programming Optimizati Footprint
上傳時間： 2013-12-09
上傳用戶：wfl_yy
Developing JavaBeans Components This tutorial gives a very thorough explanation on Developing JavaBeans Components, readers can learn a lot from the examples.
標(biāo)簽： Developing explanation Components JavaBeans
上傳時間： 2014-01-08
上傳用戶：aix008
This book is for the experience and not the same level of the design process so prepared by the staff, of course, the reader should at least be able to prepare a simple C language program. On the C language are learning readers, this book is any C language tutorial excellent supporting materials, to be able to answer all relevant questions.
標(biāo)簽： the experience prepared process
上傳時間： 2013-12-20
上傳用戶：jcljkh
Recent advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologists are now being used more widely. This book provides an overview of these important data analysis methods, from long-established statistical methods to more recent machine learning techniques. It aims to provide a framework that will enable the reader to recognise the assumptions and constraints that are implicit in all such techniques. Important generic issues are discussed first and then the major families of algorithms are described. Throughout the focus is on explanation and understanding and readers are directed to other resources that provide additional mathematical rigour when it is required. Examples taken from across the whole of biology, including bioinformatics, are provided throughout the book to illustrate the key concepts and each technique’s potential.
標(biāo)簽： experimental generation advances enormous
上傳時間： 2016-10-23
上傳用戶：wkchong
Jvm 規(guī)范說明。The Java Virtual Machine was designed to support the Java programming language. Some concepts and vocabulary from the Java language are thus necessary to understand the virtual machine. This chapter gives enough of an overview of Java to support the discussion of the Java Virtual Machine to follow. Its material has been condensed from The Java Language Specification, by James Gosling, Bill Joy, and Guy Steele. For a complete discussion of the Java language, or for details and examples of the material in this chapter, refer to that book. readers familiar with that book may wish to skip this chapter. readers familiar with Java, but not with The Java Language Specification, should at least skim this chapter for the terminology it introduces.
標(biāo)簽： Java programming designed language
上傳時間： 2013-12-19
上傳用戶：wangyi39
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