VFM_ISAR

用VC编写的一个微型操作系统，是操作系统的课程设计。-VC prepared by a micro-OS, the operating system is designed courses.

迭代扩展卡尔曼滤波例子，可作参考学习（非线性模型）(An example of iterative Kalman filtering can be used as a reference)

说明：  解释TI官方雷达cfg配置文件中的分值检测(Explain the score detection in the CFG configuration file of TI official radar)

C#桌面壁纸自动更换软件，类似百变壁纸的功能，自动把电脑桌面的壁纸换成其它图片，核心是基于一个图片管理软件来实现。测试时请在image目录中放一些高清壁纸图片，程序会自动读取并自动更换这些图片。

说明：  TTP229 TOUCH CAPACITIVE

一个比较好的ppt模板，程序员汇报的时候可以使用(A good ppt templates, programmers can use when reporting)

python my bootcamp and so on

建立在Moravec算子基础上提取特征点后与另外一幅图像进行匹配计算，并输出特征点对应的匹配点像素坐标(Based on the Moravec operator, the feature points are extracted and matched with another image, and the matching pixel coordinates corresponding to the feature points are output)

说明：  复杂环境中的微弱目标（如隐身飞机、被地/海/城市杂波淹没的目标等）探测 问题是现代雷达面临的严峻挑战。 与传统的先检测后跟踪（ DBT） 技术相比， 检 测前跟踪（TBD）技术是一种新兴的先进信号处理技术，它通过多帧回波数据积 累和联合处理，可以显著提高雷达的微弱目标检测跟踪性能， 是国际雷达界研究 的前沿热点。 TBD 作为一项正在发展中的新技术，还需要解决一些新的技术问题， 例如， 多目标跟踪维数灾难、临近目标相互干扰等，以及处理难度增加和运算量 增大带来的新问题。(The detection and tracking of low observable targets (e.g. stealth targets, targets buried in strong clutter) in complex environment are great challenges for modern radar systems. Different from the traditional detect-before-track (DBT) methods, Track-before-detect (TBD) is a novel and efficient signal processing method which is proposed in recent years to detect low observable targets, and has got much attention internationally in radar research area. By jointly processing several data frames, TBD is able to produce more reliable detection and tracking results. As a developing new technique, TBD has its own problems and challenges. For example, existing studies on)

说明：  仿真chirp信号在高斯信道下的相干非相干匹配解调性能(using matlab to learn chirp signals)