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所谓阶梯式控制，就是对未来控制量的变化加以约束，强迫未来控制量以一阶指数响应曲线的形式变化。在这种控制策略下，可以避免求解控制律时的矩阵求逆，且在处理约束限制时，可方便将 和 的约束转化为对 的约束，减少了算法计算量。(The so-called ladder-type control, is the change in the future to control the amount of bound, forced to the future control the amount of the first order exponential response curve in the form of change. In this control strategy, the control law can be avoided when solving the matrix inversion, and the limit in dealing with constraints, and constraints can easily be translated into constraints, reducing the computational algorithm.)

differantiating two images

通信系统仿真原理及无线应用，里面有详细的通信系统matlab仿真和仿真结果，适合大家学习(Principles of Communication System Simulation with Wireless Aplications)

matlab的另一个功能就是应用在图像处理上。有强大的能力处理图像。希望对读者有很大的帮助(Another feature is the application of matlab in image processing. Has a strong ability to handle images. Hope to be very helpful to readers)

光子晶体波导非线性的程序！非线性系数和能量的关系曲线！(Nonlinear photonic crystal waveguide program! Non-linear coefficients and the energy curve!)

hdd compartition fixer rar. Used to fiz partitions

包含剪切波变换（以拉普拉斯金字塔变换为尺度剖分），以及该变换的压缩感知重构测试应用程序。(Contains shear wave transform (Laplace pyramid transform for the scale subdivision), as well as the transformation of compressed sensing reconstruction test application.)

用matlab编写雷达目标检测程序，并用MTI技术抑制杂波。(Radar target detection using matlab program, and suppress the clutter with MTI Technology.)

用割平面法求解整数规划。先不考虑整数约束条件，求松弛问题的最优解，如果获得整数最优解，即为所求，运算停止．如果所得到最优解不满足整数约束条件，则在此非整数解的基础上增加新的约束条件重新求解．(By cutting plane method for solving integer programming. Not considered integer constraints, the optimal solution relaxation problem, if the integer obtained optimal solution is sought, and operation stops. If the optimal solution does not satisfy the integer constraints, then on the basis of this non-integer solutions adding new constraints on the re-solving.)

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.