MSP430温度测试

说明：  一个matlab平台应用的svm工具箱，该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法(A matlab platform applications svm toolbox, the kit includes two kinds of classification, two kinds of return, and a one-class support vector machine algorithm)

说明：  输入参数：某个web地址，端口号（默认80）。 连接成功后，提示，输入：某个文件名。例如index.jsp 获取文件成功后，输出发送的字节数和接收到的字节数。关闭(Input parameters: a web address, port number (default 80). Connection is successful, prompt, type: a file name. For example, access to the file index.jsp is successful, the output number of bytes sent and received bytes. Close)

在图像的DCT系数上嵌入信息，图像为常见的512*512大小的灰度图（实验所用图像为LENA.BMP）。嵌入的信息为一二进制Logo图（实验所用logo图为tj-logo.bmp），该图大小为32*32，共1024个Bit。 1. 在LENA图中嵌入水印，输出嵌入后的水印图像。 2. 对水印图像解码，输出解码后得到的logo图，并统计错误率。 3. 使用不同的嵌入强度进行嵌入，观察其对作品直觉效果和解码效果的影响，绘制相应的曲线。 4. 使用加入噪声、改变对比度、JPEG压缩等攻击方法对水印作品进行攻击，查看解码的效果。 (Information embedded in the DCT coefficients of the image, the image of the common 512* 512 size gray-scale (experimental image LENA.BMP). Information embedded in a binary Logo Figure (used in the experiment logo picture shows the tj-logo.bmp), the plot size 32* 32, 1024 Bit. LENA Figure embedded watermark, the watermark image output embedded. (2) logo watermark image decoding, the output decoded Figure statistical error rate. (3) using a different embedding strength for embedding, observe the works intuitive effects and decoding results, and draw the corresponding curve. (4) by adding the noise, change the contrast, JPEG compression attack methods to attack, to see the effect of decoding the watermark works.)

飞控定高源码，可用遥控器控制，注释详细

实现ZOOM-FFT的功能，对频谱进行了10倍的细化。(realize ZOOM-FFT fanction)

DICOM图像的解析，各种tag读取，图像像素解析。

可以显示图像并显示大话西游中的经典台词，还可以播放动听的背景音乐。(Can display images and display the classic Journey to the West in the lines, but also can play pleasant background music.)

OPENcv播放视频的代码，可以在VC 6.0和opencv1.0版本下运行(Code OpenCV player video)

打印条码类 通用pdf打印和二维码打印 一维码打印等(Printing Bar Code Generic PDF Printing and Two-Dimensional Code Printing, One-Dimensional Code Printing, etc.)

按键扫描，逐行检测，，，，，，，，，，，，，，，，(Key-press scan, line by line detection...................)