eetop.cn_FFT

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.)

压缩感知中全变分（TV）重构算法，本程序主要用于图像重构(Total variation in the compressed sensing (TV) reconstruction algorithm, this procedure is mainly used for image reconstruction)

盲源分离的FASTICA算法程序，对信号进行分离(Blind source separation procedure of FASTICA algorithm,)

暂态分析包括单相短路，三相短路，两相短路，两相短路接地(Transient analysis includes single-phase short circuit, three-phase short circuit, two-phase short circuit, two-phase short circuit to ground)

LFMCW仿真程序，这个是最新的，留着有用(LFMCWsimulationprogram)

有大量的电力电子转换器， 非线性负载，并且在微电网，电抗性负载的 可能恶化的电力质量和影响稳定性， 效率，以及微电网的经济运行 显著。(There are lots of power electronic converters, nonlinear loads, and reactive loads in a micro-grid, which may worsen the power quality and affect the stability, efficiency, as well as economical operation of the micro-grid significantly.)

带有遗忘因子的递推最小二乘估计法，可以用来辨识时变参数的程序(Recursive least squares estimation with forgetting factor can be used to identify time-varying parameters.)

说明：  采用PDE法进行灵敏度过滤，实现悬臂梁的拓扑优化(Sensitivity filtering using PDE method to realize topology optimization of cantilever beam)

利用BP神经网络对非线性函数拟合，从而进行预测(BP neural network nonlinear function fitting and thus to predict)

this tutorial will help beginners in the radar image processing. The programs are arranged in form of the chapters. all the best.