E4_8_BoxJenkins

MVDR and MUSIC algorithm to coherent and non-coherent sources

说明：  相场模拟晶枝生长，采用有限差分法计算，可更改参数获得不同结果(Phase field simulated dendrite growth)

遗传算法实现最优化问题的解，适合初学者使用，稍加改进即可实现tsp问题的求解(Genetic algorithm optimization solution, suitable for beginners, a little to improve the problem can be solved to achieve tsp)

Simulated annealing (SA) is a generic probabilistic metaheuristic for the global optimization problem of applied mathematics, namely locating a good approximation to the global optimum of a given function in a large search space. It is often used when the search space is discrete (e.g., all tours that visit a given set of cities). For certain problems, simulated annealing may be more effective than exhaustive enumeration — provided that the goal is merely to find an acceptably good solution in a fixed amount of time, rather than the best possible solution.

在Vc中调用Matlab源文件的调试程序！(in Vc Calling Matlab source debugging procedures!)

基于simulink的谐波检测ipiq变换方法(Based on simulink the the harmonic detection ipiq transform method)

The code displays the complexion of a person from his or her image.

基于2psk调制下的网络编码性能分析。使用matlab平台开发。针对网络编码的公式进行画图分析。(On 2psk modulation of network coding performance analysis. Use matlab platform. The formula for drawing network coding analysis.)

the fast version of ica algorithm

Differential equations (in this case is the ordinary differential equation) means containing one, two, and even high-differential equations unknowns. Is to solve the partial differential equations, mathematical equations based. There are many special functions, are not drawn to a number of functions or functions beyond the type of analytical solution of differential equations which define them. These special functions are important because they describe the nature of certain phenomena, for example, electronic activities, drum skin vibrations, pendulum swing, and so on.