Matlab-demo-of-LFM-pulse-radar

说明：  这是一个基于M/M/S类型的排队论仿真程序。M/M/S表示到达时间为负指数分布，服务时间为负指数分布，服务设备数量为S个的排队系统。 （1）到达模式：严格意义上讲是一个接着一个到达，而且到达时间间隔服从参数为mean_arr的负指数分布； （2）服务模式：服务台的数量为server_num,且每个服务台服务一个顾客的服务时间服从参数为mean_serv的负指数分布； （3）排队规则：满足先进先服务，服务快的先离开的规则。 (This is a based on the M/M/S types of queuing theory simulation program. M/M/S said time of arrival of the negative exponential distribution and service time for the negative exponential distribution, service equipment for the number of S-queuing system. (1) mode of arrival : a strict sense is a one followed arrived, but the inter-arrival time parameters mean_arr obey the negative exponential distribution; (2) mode : The number of help desk server_num. with each help desk services a customer service parameters mean_serv obey the negative exponential distribution; (3) queuing rules : first meet advanced services, the first to leave fast rules.)

针对多个通道canny边缘检测然后进行融合的算法(For multiple channels canny edge detection algorithm is then fused...)

simulink中自己搭建的永磁同步电机模型，在相同参数下与系统自带的模型仿真对比，其输出波形完全一致，说明搭建的模型正确(Simulink u4E2D u81EA u5DF1 u642D u5ED u5ED u7EF0 u7EF0 u7R0 U81EA u5E26 u7A1 u6A1 u5782 u5R2 u5B09 u5B09 u0B09 U6A21 u578B u6B63 u786E)

FFT 基2变换源程序，matlab测试与系统函数变换结果一致(Radix-2 FFT transform source code, matlab test results are consistent with the system function transformation)

基于KL变换的目标识别技术，个人认为效果比神经网络要好(KL transform based target identification technology, think better results than the neural network)

说明：  Este código extrae los bigramas de un texto...

MATLAB code to calculate eigen engenry and eigen function of a square potential well.

Unit Commitment for generating power systems, by Dynamic Programming

已知地震波时程，求其PSD（功率谱密度函数）(time history to PSD for sesimic wave)

简单函数优化的遗传算法程序，遗传算法从问题解的串集开始搜索，而不是从单个解开始。这是遗传算法与传统优化算法的极大区别。传统优化算法是从单个初始值迭代求最优解的；容易误入局部最优解。遗传算法从串集开始搜索，覆盖面大，利于全局择优。(A genetic algorithm program optimized by simple functions)