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SymbolFotARCGIS
- 符号标准化既是组织数据生产的重要手段，又是科学管理数据的重要组成部分。建立标准的符号体系， 对于实现数据的规范管理和社会化信息共享服务具有十分重要的意义。 福建省国土资源信息中心于 2003年 1月着手基于MAPGIS 地理信息系统的部分标准符号库建设，经过 一年多的努力，克服了技术上的种种困难，至目前为止已制作完成适用于土地利用现状、土地利用规划， 矿产资源规划及城镇地籍等数据库建设的符号库，共计约 2400 多个符号。此项目开展初期就得到国
chengshigis-dtty
- 上传论文:GIS地图投影变换组件的设计与实现.希望能帮我开通帐号. 【关键词】 COM，地图投影变换，ATL-Upload thesis : GIS map projection transform Component Design and Implementation. I hope to help open account. Key words : COM, Map Projection transformation, ATL
CODE_UPLOAD111981112000
- COM Component designed to make full screen scrolling maps easy, especially from Visual Basic. This is the VC++ 6.0 source code of the graphics engine
ITU_R_BT_656_4
- INTERFACES FOR DIGITAL COMPONENT VIDEO SIGNALS IN 525-LINE AND 625-LINE TELEVISION SYSTEMS OPERATING AT THE 4:2:2 LEVEL OF RECOMMENDATION ITU-R BT.601 (PART A)
Advances.of.Research.in.Independent.Component.Anal
- ：介绍了独立成分分析(ICA)的基本模型及其假设、含混性、非高斯性度量和通用求解过程。讨论了目前ICA 的几个研究方向的发展现状和面临的问题，分析了ICA 基本模型和几种扩展模型的求解算法，包括盲反卷积、卷积混和的盲分离、非线性瞬时混合的盲分离。提出了ICA 未来理论和应用研究中的开放课题。
LQFPfengzhuangdaquan
- lqfp类元件封装大全，这里好像还没有，所以我特的整理了传上来，希望能对大家有用。-lqfp class component package Daquan, there seems to have not, so I might just finishing up a pass, hoping it would be useful.
A_component-based_architecture_for_self-healing_s
- A component-based architecture for self-healing systems
bssimage
- this a matlab code for blind source separation using independent component analysis-this is a matlab code for blind source separation using independent component analysis
mutual
- The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all
fusionandregistration
- -The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all
Crystallinesiliconterrestrialphotovoltaicmodules.r
- 本标准规定了地面用光伏组件设计鉴定和定型的要求，该组件是在GB/T 4797.1中所定义的一般室外气候条件下长期使用。-The standard provides for the design of ground-based PV modules used to identify and shape the requirements of the component in the GB/T 4797.1, as defined in the general long-term outdoor u
KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
MoAT7.1
- This paper identifies a novel feature space to address the problem of human face recognition from still images. This based on the PCA space of the features extracted by a new multiresolution analysis tool called Fast Discrete Curvelet Transfo
pcainimage
- for components in principal component analysis
Surveyonindependentcomponentanalysis
- 关于利用独立分量ICA对混和后的多声源进行分解的很好的参考文献-ICA on the use of independent component of the mixture after the decomposition of multi-source good references
fingerprint11
- pdf for fingerprint from ieee include: PIPELINED MINUTIAE EXTRACTION FROM FINGERPRINT IMAGES A Novel Principal Component Analysis Neural Network Algorithm for Fingerprint Recognition in Online Examination System Processing of Distorted Finger
RfSupplier
- 国外部分无线射频技术厂商名录,包括行业应用系统与解决方案供应商、RFID组件供应商、智能卡技术供应商等等，入门必读！-Some foreign countries list of radio frequency technology vendors, including the industry applications and solutions, RFID component suppliers, supplier of smart card technology and so on, en
independent-component-analysis
- High-resolution independent component analysisbased time-of-arrival estimation for line-of-sight multipath environments-High-resolution independent component analysisbased time-of-arrival estimation for line-of-sight multipath environments.pdf
Blind-Source-Separation-and-Independent-Component
- This document if a overview of the development of Blind source separation and independent component analysis.
principal-component-analysis
- The key concept in principal component analysis (PCA) is to reduce a high dimensional data volume into a lower dimensional space, where the low dimensional data con-tams most of the useful information/variance contained in the original data set. The