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说明：  MATLAB程序：其中包含10余个MATLAB程序或（函数）的源代码。程序中所作的注释，与书中关于对应算法的描述是一致的(pde image deniosing)

求解线性规划逆问题的光滑牛顿法的程序，时间很快，精确度也很高(Solving the inverse problem of linear programming procedure smooth Newton method, the time soon, is also very high accuracy)

说明：  matlab 矩阵及其基本运算（命令及其用法）matlab基础(matlab matrix and the basic operations (command and its usage) matlab basis)

此为一个跟踪前车的matlab仿真模型，其中包括了跟踪算法，和车辆2自由度模型。仿真结果表明可行。(This is a track the vehicle in front of the matlab simulation model, including the tracking algorithm, and the two degrees of freedom model of vehicle. Simulation results show that the feasible.)

粒子群优化算法 matlab程序运行良好(Particle Swarm Optimization algorithm matlab program run)

该文件内含有程序和详细的程序解读，从不同的角度完成统一任务：卷积编码(The document contains the procedures and detailed procedures for reading from a different point of view the fulfillment of the tasks: convolutional coding)

说明：  matlab的遗传算法实现，学习的好帮手(matlab genetic algorithm, learning a good helper)

对于InSAR 系统,当波长较长时,干涉图条纹频率较低,相位解缠容易,但反演的高程精度较低 而当波长较短时,干涉图条纹频率较高,相位解缠困难,但反演的高程精度较高. 为了充分利用多波段 InSAR 干涉相位之间的互补信息,设计了利用中国余数定理的多波段InSAR 相位解缠方法,采用由DEM 仿真的多波段干涉图进行了相位解缠实验,得到了理想的解缠结果,成功解决了因地形起伏较大或基线较长而引起的干涉相位欠采样处的相位解缠难题.(For the InSAR System熏when the wavelength is longer熏the frequency of fringes will be lower熏the phase unwrapping will be easier熏and the accuracy of derived heights will be lower. However熏when the wavelength is shorter熏the frequency of fringes will be higher熏the phase unwrapping will be more difficult熏and the accuracy of derived heights will be higher. In order to make the best use of compensatory information in multi鄄band InSAR phases熏the phase unwrapping algorithm with the Chinese Remainder Theorem for multi鄄band InSAR is designed. The multi鄄band interferograms simulated from DEM are applied to do phase unwrapping experiments. The satisfying phase unwrapping results are obtained. The difficulty in phase unwrapping of sub鄄 sampling interferometric phases due to great hypsography or longer baseline is removed.)

灰色PID的改进，采用灰色预估补偿，实现位置跟踪(the improved grey PID , gray predictor to achieve location tracking)

改进的卡尔曼滤波程序，并比较了传统卡尔曼滤波的性能(UKF)