匯編器在微處理器的驗(yàn)證和應(yīng)用中舉足輕重，如何設(shè)計(jì)通用的匯編器一直是研究的熱點(diǎn)之一。本文提出了一種開放式的匯編器系統(tǒng)設(shè)計(jì)思想，在匯編語言與機(jī)器語言間插入中間代碼CMDL（code mapping description language）語言，打破匯編語言與機(jī)器語言的直接映射關(guān)系，由此建立起一套描述匯編語言與機(jī)器語言的開放式映射體系。基于此開放式映射體系開發(fā)了一套匯編器系統(tǒng)，具有較高層次上的通用性和可移植性。【關(guān)鍵詞】指令集，CMDL，匯編器，開放式
Design of Retargetable Assembler System Liu Ling Feng Wen Nan Wang Ying Chun Jiang An Ping Ji Li Jiu IME of Peking University, 100871【摘要】An assembler plays a very important role in the field of microprocessor verifications and applications, thus how to build a retargetable assembler system has been a hotspot in this field for long time. This paper presents a new method about the retargetable assembler system design.It provides a kind of language CMDL, code mapping description language. During the process of assembling, assembler languages are firstly translated to CMDL, and then mapped to the machine codes. In an other word, CMDL is inserted between assembler languages and machine codes during the translation procedure. As a medium code, CMDL has a lot of features, such as high Extraction, strong descript capabilities. It can describe almost all attributes of assembler languages. By breaking the direct mapping relationship between assembler languages and machine codes, the complexities of machine codes are hided to the users, therefore, the new retargetable assembler system has higher retargetable level by converting the mapping from assembler languages and machine codes to assembler languages and CMDL, and implementationof it becomes easier. Based on the new mapping system structure, a retargetable assemblersystem is developed. It proved the whole system has good retargetability and implantability.【關(guān)鍵詞】instruction set, symbol table, assembler, lexical analysis, retargetability
來自澳大利亞Qeensland大學(xué)的計(jì)算機(jī)視覺Matlab工具箱。
This Toolbox provides a number of functions that are useful in computer vision,
machine vision and related areas. It is a somewhat eclectic collection reflecting
the author s personal interest in areas of photometry, photogrammetry, colorimetry. It
covers functions such as image file reading and writing, filtering, segmentation,
feature Extraction, camera calibration, camera exterior orientation, display,
color space conversion and blackbody radiators. The Toolbox, combined
with MATLAB and a modern workstation computer, is a useful and convenient
environment for investigation of machine vision algorithms. It is possible to use
MEX files to interface with image acquisition hardware ranging from simple
framegrabbers to Datacube servers.
This project aims to distribute a facial animation system with speech, developed to brazilian portuguese case. This system is composed by many modules: movement Extraction, facial animation and speech, through a text-to-speech system.
for the TI dm6446 platformBackground subtraction moduleMaintain a background model, which can distinguish background, foreground and theft/left pixelsShadow removal moduleDetect shadow regions in monochrome videosCamera shift detection and suppression moduleDetect of small camera shift, and suppress the false alarms due to themBlob Extraction moduleExtract connected foreground and theft/left pixels as blobsTheft/left baggage distinguish moduleDistinguish theft blobs and left baggage blobs
HTML Parser is a Java library used to parse HTML in either a linear or nested fashion. Primarily used for transformation or Extraction, it features filters, visitors, custom tags and easy to use JavaBeans. It is a fast, robust and well tested package.
Wavelet Subband coding for speaker recognition
The fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. the fn also calculates the DCT part. using this fn and other algo for pattern classification(VQ,GMM) speaker identification could be achived. the progress in Extraction is also indicated by progress bar.
統(tǒng)計(jì)模式識別工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，F(xiàn)eature Extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines
Face Recognition Library
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Advanced face recognition DLL using two functions : Train and Recognize. Uses neural net back propogation alogorithm with more AI tools added for imaging optimization. Library works great even for a low resolution web cam image and requires the user to align to a mirror frame on screen. Complete Source Code with Video capture and feature Extraction kit for Registered Users.
Please register here for only $299 with Source Code :
http://www.research-lab.com/facerecognitionorder.htm
(c) www.research-lab.com
This thesis presents a comprehensive overview of the problem of facial recognition. A survey of available facial detection algorithms as well as implementation and tests of di鏗€erent feature Extraction and dimensionality reduction methods and light normalization methods are presented.
this document describes in details the freeman s chain code algorithm in regards to using for feature Extraction in an OCR Application
it also describes all the necessary phases to develop an ocr
