ANTLR v3 is the most powerful, easy-to-use parser generator built to date, and represents the culmination of more than 15 years of research by Terence Parr. This book is the essential reference guide to using this completely rebuilt version of ANTLR
*SOFTWARE RIGHTS* ANTLR 1989-2006 Developed by Terence Parr @ University of San Francisco We reserve no legal rights to the ANTLR--it is fully in the public domain. An individual or company may do whatever they wish with source code distributed with
ANTLRWorks is a novel grammar development environment for ANTLR v3 grammars written by Jean Bovet (with suggested use cases from Terence Parr). It combines an excellent grammar-aware editor with an interpreter for rapid prototyping and a language-ag
Foreword By Andrew Glassner xvii Preface xix Mathematical Notation xxi Pseudo-Code xxiii Contributors xxix I I I I I 2 2 2 2 2D GEOMETRY AND ALGORITHMS D GEOMETRY AND ALGORITHMS D GEOMETRY AND ALGORITHMS D GEOMETRY AND ALGORITHMS D GEOMETRY AND ALGO
Foreword By Andrew Glassner xvii Preface xix Mathematical Notation xxi Pseudo-Code xxiii Contributors xxviii I I I I I I I I I IMAGE PROCESSING MAGE PROCESSING MAGE PROCESSING MAGE PROCESSING MAGE PROCESSING Introduction 3 1. Fast Bitmap Stretching
ANTLR—Another Tool for Language Recognition，其前身是PCCTS，它为包括Java，C++，C#在内的语言提供了一个通过语法描述来自动构造自定义语言的识别器（recognizer），编译器（parser）和解释器（translator）的框架。ANTLR可以通过断言（Predicate）解决识别冲突；支持动作（Action）和返回值（Return Value）来；更棒的是，它可以根据输入自动生成语法树并可视化的显示出来（这一点我将在下面的例子中演示）。
ANTLR—Another Tool for Language Recognition，其前身是PCCTS，它为包括Java，C++，C#在内的语言提供了一个通过语法描述来自动构造自定义语言的识别器（recognizer），编译器（parser）和解释器（translator）的框架。ANTLR可以通过断言（Predicate）解决识别冲突；支持动作（Action）和返回值（Return Value）来；更棒的是，它可以根据输入自动生成语法树并可视化的显示出来（这一点我将在下面的例子中演示）。
Traditionally, Fourier analysis has been focused the analysis of func- tions in terms of linear phase functions such as the sequence n ! e(n) = e2in. In recent years, though, applications have arisen - particularly in connection with problems involv
ANTLR—Another Tool for Language Recognition，其前身是PCCTS，它为包括Java，C++，C#在内的语言提供了一个通过语法描述来自动构造自定义语言的识别器（recognizer），编译器（parser）和解释器（translator）的框架。ANTLR可以通过断言（Predicate）解决识别冲突；支持动作（Action）和返回值（Return Value）来；更棒的是，它可以根据输入自动生成语法树并可视化的显示出来（这一点我将在下面的例子中演示
ANTLR—Another Tool for Language Recognition，其前身是PCCTS，它为包括Java，C++，C#在内的语言提供了一个通过语法描述来自动构造自定义语言的识别器（recognizer），编译器（parser）和解释器（translator）的框架。ANTLR可以通过断言（Predicate）解决识别冲突；支持动作（Action）和返回值（Return Value）来；更棒的是，它可以根据输入自动生成语法树并可视化的显示出来（这一点我将在下面的例子中演示
Compressed-Sensing is a recent branch that separated from sparse and redundant representations, becoming a center of interest of its own. Exploiting sparse representation of signals, their sampling can be made far more eective compared to the classi
