资源列表
yuv_bgr24
- YUV420和BGR24相互转换，参照网上资料编写，绝对可用。-YUV420 and BGR24 conversion, online reference data is written is absolutely available.
Staff-Imformation-Management-System
- 职工的信息包括职工号、姓名、性别、年龄、学历、住址、工资、电话等。本职工信息管理系统能对职工信息实现录入，查看，修改和删除等功能。-Staff Imformation Management System
ASM_demodv1.0
- VDES系统解调代码，ASM信息部分，QPSK调制，同步模块，以及SIC干扰消除。同步采用时频联合同步，准确率非常高。-VDES system demodulation code, ASM Information section, QPSK modulation, synchronization module, as well as SIC interference cancellation. Concomitant use frequency synchronization, the accu
SRPBoard_GB_V20
- 如果您正在寻找一种免费或不昂贵的BBS系统，可以有几个选择，如LB5000，或者汉化的 VB,UBB 等。在将 SRPBoard 与其他 BBS 系统进行比较时，所要考虑的重要因素是性能，速度，功能，易用性，支持和特性，许可条件和价格。-If you are looking for a free or inexpensive BBS system, there are several options, such as LB5000, or localization of VB, UBB and
phpweather
- PHP编写,支持Discuz!论坛,可根据IP显示访问者地区天气,读取新浪天气数据。-PHP prepared to support Discuz! Forum, according to the visitors IP display area weather, read Sina weather data.
dedesplit
- 本站采用的是一种用最小切分和逆向最大匹配法结合的一种复合分词算法，目前对岐义识别还处于初步研究阶段.-Powered by is a composite word segmentation algorithm with a minimum and maximum matching method combined reverse, the current recognition of ambiguity still in the preliminary research stage.
MvMmall350
- 采用 php+mysql 数据库方式运行的强大网上商店系统，执行效率高速度快，支持多语言，模板和代码分离，轻松创建属于自己的个性化用户界面-Using php+ mysql running powerful online shop system, the efficiency of high-speed fast, multi-language support, templates and code separated easily create their own personalized
5
- 带切歌功能的51单片机音乐盒，附带LCD显示-51 SCM Music Box with the function of the song, with LCD display
bokeef_com
- 自动生成缩略图,自动增加水印。可以随时修改分类，更改时数据库的所有记录会自动更改。-Automatically generate thumbnails, watermark is automatically increased. Can be modified at any time classification, all records in the changes will automatically change.
j
- agent based model, agent based discrete q-agent based model, agent based discrete queue
Instafood_Code
- Looping of images2 sfdgdffhx ffdxfh
KMeans_Practice
- 聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。-matlab kmeans algorithm