网易云音乐下载器

说明：  用Python计算图像对不同地物分类精确度， 计算分类结果图与标准参考图的混淆矩阵， 对分类结果进行评价(Python was used to calculate the classification accuracy of images for different ground objects, calculate the confusion matrix between the classification result map and the standard reference map, and evaluate the classification results)

使用iwr16xx雷达板进行人体摔倒检测(Fall detection, useTI iwr16xx board)

说明：  通过2SeaColor模型，对遥感影像进行水质参数反演(Through the 2seacolor model, the water quality parameters of remote sensing images are inversed)

用python3+opencv3做的中国车牌识别，包括算法和客户端界面。(Chinese license plate recognition using python3+opencv3, including algorithm and client interface.)

这是一个基于gensim的倒排表，同时也含有手动实现的部分(This is an inverted table based on gensim, and also contains manual implementation.)

说明：  我们描述了所提出的方法对超声（US）信号的压缩多路复用的直接应用。该技术利用压缩多路复用器架构进行信号压缩，并依靠频域中US信号的联合稀疏性进行信号重建。由于换能器元件具有压电特性，因此可以获得有关US信号频率支持的准确先验知识，并且可以在联合稀疏算法中使用。 我们在数值实验中验证了所提出的方法，并显示了它们在秩次缺陷情况下相对于最新方法的优越性。我们还证明，与没有已知支持的重建相比，该技术可显着提高体内颈动脉图像的图像质量。(We describe a direct application of the proposed methods for compressive multiplexing of ultrasound (US) signals. The technique exploits the compressive multiplexer architecture for signal compression and relies on joint-sparsity of US signals in the frequency domain for signal reconstruction. Due to piezo-electric properties of transducer elements, accurate prior knowledge of the frequency support of US signals is available and can be used in joint-sparse algorithms. We validate the proposed methods on numerical experiments and show their superiority against state-of-the-art approaches in rank-defective cases. We also demonstrate that the techniques lead to a significant increase of the image quality on in vivo carotid images compared to reconstruction without known support.)

在gnuradio+usrp上实现OFDM协议，全双工的。(The OFDM agreement on the gnuradio+usrp, full-duplex.)

蒙特卡洛射线追踪器 本项目是一个使用全局光照算法蒙特卡罗射线追踪绘制虚拟三维场景的程序。 该算法在场景中递归跟踪摄像机发出的光线，并将光线反射到物体表面。 该项目是为Linkopings大学的TNCG15全球照明和渲染课程而设计的。(This project is a program for rendering virtual 3D scenes with the global illumination algorithm Monte Carlo ray tracing.)

说明：  贝叶斯分类器构建网络，对豆瓣进行情感分析；TF-IDF(Using Bayesian classifier to construct network to analyze the emotion of Douban; TF-IDF)

通过视频文件库dib进行人脸关键点检测，当图片倾斜时，旋转图片为正方向，进行人脸检测，每次旋转的角度为60度，当旋转360度，还是无法检测时，则认为人脸不存在。