Edge-detection-

Simply calculus for exhaust gases, altitude coast phase time, diameters for a required parachutes from a rocket.

this is introduction to simulink engineering

大量实验表明,提出的方法对同种传感器或者不同传感器图像之间的配准都是有效的。 提出了一种新的基于角点检测的图像配准方法,其核心思想是采用一种快速的 基于图像灰度的角点检测新算法,通过沿圆弧曲线扫描获取角点信息,然后根据这些 角点信息建立图像间角点的对应关系,并由此得到初配准参数,最后通过迭代过程以 提高配准的精度. 理论分析和实验结果表明,该算法对图像间的旋转角度没有限制, 配准精度高而且计算量较小. (Experiments show that the proposed method on the same kind of sensor or between the different sensor image registration is valid. A new corner detection based image registration method, the core idea is to use a fast gray-based new algorithm for corner detection, scanning through the curve along the arc for corner information, and then based on these corner information to establish image correspondence between the corners, and thus be the beginning of registration parameters, and finally through the iterative process to improve the accuracy of registration. Theoretical analysis and experimental results show that the algorithm is rotation between the image does not limit , registration accuracy and less computation.)

The code gives an automatic solutions of simultaneous equations using gauss seidal elimination numerically. The equations must be inputted by the user accordingly.

MIMO OFDM with matlab

BPSK modulation in matlab

emd分解程序,可以分解得到多个符合条件的imf分量(It is emd.)

变频器（频率自定义）+Dudt的LC滤波器（LC自定义）+电缆模型（长度自定义）+高频异步电机模型（参数自定义）(The LC filter inverter frequency (custom)+Dudt (LC) custom+ cable model (custom length)+ high frequency induction motor model (custom parameters))

K-SVD是一种经典的字典训练算法，依据误差最小原则，对误差项进行SVD分解，选择使误差最小的分解项作为更新的字典原子和对应的原子系数，经过不断的迭代从而得到优化的解。(K-SVD is a classic dictionary training algorithm, based on the principle of minimum error, the error items SVD decomposition, choose to make the smallest error decomposition item as an updated dictionary of atoms and atomic corresponding coefficient, through constant iteration to obtain an optimized solution.)

svdd分类 用matlab实现的svdd算法 挺好用的(Svdd classification svdd algorithm implemented with matlab is very easy to use)