This book is designed to be used for the purpose to describe the structure of an optimizing compiler so that a reader can implement it or a variation (compiler writers always modify a design).
項(xiàng)目描述:
Fluid is a server daemon for streaming media. The latest release is built as an API for building any kind of media streamer. Following with the server is a plugin for streaming MP3 files, even those with variable bitrate. Multicast now supported.
Fluid 是一個(gè)為媒體流提供的服務(wù)器后臺(tái)。最新版本建造為一個(gè)API，用于建造任何類型的媒體。服務(wù)器是流式MP3文件的一個(gè)插件，即使其位率可變。現(xiàn)在也支持組播。
來(lái)源: http://sourceforge.net/projects/fluid/
This book is about the management of business processes. This is certainly
not a new topic. Since the beginning of the Industrial Revolution, it
has been written about from every possible point of view—economic,
sociological, psychological, accountancy, mechanical engineering and
business administration. In this book, we examine the management of
business processes from the perspective of computing, or—to put it more
broadly—of information technology. The reason is that information
technology has made huge leaps forward in recent years, resulting in
the creation of completely new ways of organizing business processes.
The development of generic software packages for managing business
processes—so-called workflow management systems (WFMS)—is particularly
important in this respect.
Java Regex Primer Since version 1.4, Java has had support for Regular Expressions in the core API. Java Regex follows the same basic principles used in other languages, just withdi erent access methods, and some subtledi erences with the patterns. This primer is aimed towards developers already familiar with regex in other languages wanting a brief outline of its support in Java. It may also be beneficial to developers learning regex if used in conjunction with detailed documentation explaining the construction of regex patterns. Reading the javadoc forjava.util.regex. Pattern is a must to see how the Java regex patterns aredi erent from other languages such as Perl. Most of the functions discussed herin are from thejava.util.regex. Matcher class with a few fromjava.util.regex. Pattern. Reading this text in conjunction with the javadoc of those classes is advised.
This book is the most accurate and up-to-date source of information the STL currently available. ... It has an approach and appeal of its own: it explains techniques for building data structures and algorithms on top of the STL, and in this way appreciates the STL for what it is - a framework. Angelika Langer, Independent Consultant and C++ Report Columnist "A superbly authored treatment of the STL......an excellent book which belongs in any serious C++ developer s library." Jim Armstrong, President 2112 F/X, Texas. \n
The C++ Standard Template Library (STL) represents a breakthrough in C++ programming techniques. With it, software developers can achieve vast improvements in the reliability of their software, and increase their own productivity.
The first edition of this book ranks among the small (very small) number of books that I credit with significantly elevating my skills as a professional software devel-oper. Like the others, it was practical and easy to read, but loaded with important advice. Effective C++, Third Edition, continues that tradition. C++ is a very powerful programming language. If C gives you enough rope to hang yourself, C++ is a hard-ware store with lots of helpful people ready to tie knots for you. Mastering the points discussed in this book will definitely increase your ability to effectively use C++ and reduce your stress level.
aiNet application is a very powerful and a very simple tool for solving the problems which are usually solved with artificial neural networks (ANN). All possible tests we had run proved that the results obtained with aiNet are at least as good as the results obtained with some other ANNs. Let us state some of aiNet抯 features.
(c) aiNet 1995-1997
Image Compression
A collection of simple routines for image compression using different techniques.
圖象壓縮的不同方法
BTCODE:
Image compression Using Block Truncation Coding.
PYRAMID:
Image compression based on Gaussian Pyramids.
DCTCOMPR:
Image compression based on Discrete Cosine Transform.
IMCOMPR:
Image compression based on Singular Value Decomposition.
The given codes can be also used in 2D noise suppression.
Notes:
The function "conv2fft" performs a 2D FFT-based convolution.
Type "help conv2fft" on Matlab command window for more informations.
