OFDM-mimo

matlab时频分析配套源码第11章的程序，请大家共享(Matlab time-frequency analysis supporting source Chapter 11 procedures, please share)

用BP神经网络优化模糊控制器，进行学习，系统有两个输入，输出误差曲线和期望曲线，BP学习误差曲线(BP neural network to optimize the fuzzy controller learning system has two inputs, the output error curve and expectations of the curve, the BP learning error curve)

AAFT 混沌系统非的线性模型系统用于可直接调用AAFT函数(AAFT Nonlinear Modeling )

mapminmax函数源程序，归一化时调用函数(mapminmax function source)

对模拟退火算法进行分析，介绍，并用两种matlab方法对算法进行仿真(The simulated annealing algorithm is introduced, and the algorithm analysis, simulation is carried out with two kinds of MATLAB methods)

完整的蚁群算法，可以参考使用。。。。。。。。。。。。。。。(Ant colony algorithm)

根据读取到的已知控制点的坐标，计算在该区域内的平面转换五参数，该五参数不同于当前使用较多的四参数(According to the known control point to read the coordinates to calculate the plane in the region converted five parameters, the five parameters to use more different from the current four-parameter)

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.)

MPLAB Library Tutorial leaflets

This function describes the histogram distribution of unique values in an attribute, with respect to each class label of output attribute.