matlab

课程设计做的PLL，里面有关线性和非线性的都有，大家可以(O 课程 设 计 的 PLL, 里面 Tang 关 Cave Cave性和非性的都 Tang, 大家可 Luk)

实际的场景，若电梯的最大载客量m=10，设电梯中已有的 客人服从0-10 之间的均匀分布，且电梯中的任意一人在任意一层下的 概率相同，若你在第三层需要乘电梯到第七层，电梯处在第一层，共 8 层。且在每一层等电梯到达他们的目的楼层的客人服从0-3 的均匀分 布此时我们对电梯的运行加一些限 制，即电梯中若有客人未达目的地，电梯不会改变运行方向，求直到 你到达第七层为止，，电梯需停次数的数学期望，并进行计算机模拟验 证。(The actual scene, if the maximum lift capacity m = 10, the elevator has been designed to obey the guests uniformly distributed between 0-10, and the elevator in any one at any level under the same probability, if you The third layer needs to take the elevator to the seventh floor, the elevator in the first layer, a total of 8 layers. And in each level to reach their goals such as the elevator floor guests subject to the uniform distribution of 0-3 at this time we add some restrictions on the operation of the elevator, the elevator if it has not reached the destination guests, the lift will not change the direction, request until you reach the seventh floor so far, the elevator number of mathematical expectation to be stopped, and the computer simulation.)

水文趋势、突变点分析的matlab相关程序——Lee-Heghinan法、Mann-Kendall法(Hydrological trends point mutation analysis matlab procedures- Lee-Heghinan France, Mann-Kendall method)

说明：  递推最小二乘 辩识算法,算法简单易懂,按照系统辩识与自适应书上的算法编写(Recursive least squares identification algorithm easy-to-read, in accordance with the system identification and adaptive algorithm for the preparation of a book)

说明：  k均值算法，社区划分算法中经典算法，WSN中分簇也可使用该算法。(K-means algorithm, classic algorithms in community partition algorithm, clustering can also use this algorithm in the WSN.)

基于matlab的二极管钳位三电平仿真，补偿后效果很好(model for NPC APF by matlab)

说明：  matlab基于HMM的语音识别完整代码(需要修改程序里的路径以找到文件)(matlab)

数学建模美赛德经典算法MATLAB 源码之退火算法(MCM s very important algorithm simulated annealing)

cma的MATLAB仿真程序，已经仿真过，供大家参考(cma of the MATLAB simulation program has been simulated for reference)

这是一篇关于自适应卡尔曼滤波在目标跟踪系统中应用的学习文章，对学习卡尔曼滤波有很大的帮助(This is an article on adaptive Kalman filter target tracking system applied in the study article, to learn the Kalman filter is very helpful)