jpeg_C_orign

研华PCI-1711数据采集卡 AD转换VC++例程(Advantech PCI-1711 data acquisition card AD conversion VC++ Routines)

卡尔曼滤波是一种数据处理方法，它是一种线性最小方差无偏估计准则，基于系统 状态估计和当前观测，通过引入状态空间而获得的新的状态估计.本篇论文陈述了卡尔曼滤 波的基本思路和算法；并通过仿真，显示卡尔曼滤波的功能，以及如何用它来跟踪方向确定、速度恒定的飞行器。 (Kalman filter is a data processing method, which is a linear minimum variance unbiased estimation criteria, based on system state estimation and the current observations, obtained by introducing the state space of the new state estimate of the Kalman filter thesis statement the basic ideas and algorithms and through simulation, shows Kalman filtering functions, and how to use it to keep track of the direction determined constant speed aircraft.)

关于CCD相机的选型，帧率，幅宽，曝光时间(CCD CAMERA)

图像分割，完整程序，验证可行。新手上传，望支持。(image direct)

说明：  遥感图像.img图像与raw格式图像的之间的转换(remote sensing images. Img images with the raw image format conversion between the)

针对opencv的配制方法总结，适合初学者来配置开发环境(For the preparation of opencv summary, suitable for beginners to configure the development environment)

这些代码是有关数字图像处理的一些算法，大家有需要的，可以在里面找些与自己相关的(These codes are some of the digital image processing algorithms, we need, in which you can find some with their associated)

把视频分割成一帧一帧并且保存为图像，实现视频录制(Put the video into a frame of a frame and saved as image segmentation)

VC development motion control routines, vb development 12 axis motion control routines

在分析聚束合成孔径雷j盘(SAR)方位向时频关系的基础上，提出了一种新的全孔径分辨率SAR成像算法。 根据SAR在条带与聚束模式下回波信号之间的差别，利用现有成熟的条带SAR成像算法实现先对聚束SAR各方位向子 孔径成像，而后再将各方位子孔径带宽合成为全孔径带宽，以形成具有全孔径分辨率的SAR图像，极大降低了系统PRF 的要求。(In the analysis of spotlight synthetic aperture radar dish j (SAR) azimuth based on the time-frequency relationship, a new full-aperture resolution SAR imaging algorithm. According to SAR in strip and spotlight mode, the difference between the echo signal, the use of existing mature band SAR imaging algorithm first bit of the spotlight SAR the parties to the sub-aperture imaging, and then place then all the bandwidth synthetic aperture the bandwidth for the full aperture to form a full aperture resolution SAR images, greatly reducing the system PRF requirements.)