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int_1
- pic18f4520编写中断程序可直接参考的样例-pic18f4520 interrupt program can directly refer to the preparation of sample
Question2
- Images passed to your application are not always of the same size as your templates. To compare them you might need to up scale or down scale them to the template size. It is preferred that when comparing you check the size of the template to b
sample
- 按simple规则编写的二元式词法分析器和四元式语法分析器。-Prepared according to simple rules of binary-style lexical analyzer and quaternary-style parser.
MifareMFRC500samplecode
- Mifare MF RC500 sample code
MMSJava
- java 对mms发送的sample，理解mms的典范-sample for mms by java code
STL
- Generics Sample in C++
mtmdi
- multi threading sample in mfc
sample
- Sample file to read and write contents of a file.
ClassifyHomework
- 模式识别,用平均样本法、平均距离法、最近邻法、K近邻法进行分类。-Pattern recognition, with an average of the sample method, the average distance method, nearest neighbor, K-NN classification.
QtWithDll
- 在QT下编写带DLL的程序,示例源码,通过这个让我们知道QT下DLL的编写，启到一个抛砖引玉的作用吧-Prepared in the QT with a DLL procedures, sample source code, and let us know through the preparation of QT under the DLL, the role of attracting valuable opinions Kai into a bar
AppFlow-8
- This sample demonstrates how to create an OpenGL ES 1.1 and 2.0 compatible project. When running on PowerVR MBX platforms (e.g., iPod Touch, 1st generation iPhone, iPhone 3G), the sample draws using OpenGL ES 1.1 when running on PowerVR SGX platforms
basic-sd-spi-project-at91sam7x-ek-iar
- at91sam7Xxxx sample example
sample
- 比较字符串sample.试比较两个字符串所含的字母是否相同-Compare the string sample. Let us compare the two strings contained in the letters is the same
PizzaNutTekni4eski
- A Pizza Ordering Application sample in VS2010 with MDI
samplerandhold
- this mdl shows the sample and hold simulation.
linuxCode
- It is code for linux program. There are alarm， execle， fork， fifo，write and so on for sample.
Flex4
- Flex Sample Application
c-sample
- c++ simaple sample learn basic of c++ in some example
Sample_Hold
- The Simulink-File describes the sample & Hold process in communications Systems.
Sample-subset-partitioning
- 近红外光谱分析中要从复杂的信息中有效地提取相关信息建立可靠的模型，选择的训练集要具有较好的代表性。目前．样本的选择方法主要包括random sampling(RS)，Kennard—Stone(KS)．sample set partitioning based on joint x-y distance(SPXY)等方法 。-selecting a representative subset in NIR data using SPXY， the random sampling，and Kenn