MSChart

说明：  直升机性能计算程序，包括matlab和C++两个版本，其中Matlab版本包含了VPM程序。(blade Element Momentum Theory Analysis Code)

：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。 为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明， 该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。(: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve.)

Double Pendulum Simulink model

Gesture recognition by nn

通过自动阈值选择方法实现图像二值化。初始阈值T是图像均值；T把图像直方图分成R1和R2两个区域；计算R1和R2均值u1和u2，选择u1和u2均值作新的阈值；重复以上步骤直到T值基本不变。(Automatic Threshold Selection；)

MIT course- Introduction to Matlab

说明：  非线性模型的预测控制，具有非常好的控制效果(Nonlinear model predictive control with very good control effect)

3D ploting toolbox to plot 3D points in matlab

数字基带传输仿真，关于a/d部分的仿真实习属于通信系统仿真的基本内容(Simulation of digital baseband transmission)

gps与matlab仿真，模拟卫星的运动,后续程序正在写。(gps with matlab simulation, motion simulation of the satellite, the follow-up program is being written.)