fuzzy

电力电子技术与MATLAB仿真，电子书，包括基本电子器件的介绍与仿真，简单易学(Power Electronics and MATLAB simulation, e-book, including the introduction of basic electronic devices and simulation, easy to learn)

matlab下莫比乌斯函数的实现，中间还有一个普通的判别一个数是否是素数的程序(matlab implementation under the Mö bius function, in the middle there is a regular judge whether a number is prime number program)

利用自适应遗传算法求解多元函数的最值问题。(Most adaptive genetic algorithm for multi-function value.)

matlab编写的截图小程序，适合参考学习(matlab prepared screenshot applet for reference study)

说明：  窄带平衰落相关MIMO信道容量仿真，内容包括：天线间距、功率角度谱、多簇、总角扩展等参数对信道容量及相关系数的影响(Narrowband flat fading MIMO channel capacity related to simulation, including: antenna spacing, angle power spectrum, multi-cluster parameters such as total angular expansion of channel capacity and the correlation coefficient of)

牛顿法求函数极值。程序以香蕉函数为例。可以运行(Newton' s Method function extremum. Rosenbrock function as an example program. Can run)

针对智能车路径规划的问题，采用人工势场法进行智能车的路径规划，进而为智能车提供一条安全无碰的较优路径。本程序基于源程序进行了改动，松弛了迭代终止条件，避免智能车绕过目标无限探测下去。(Smart car for path planning problem, the use of artificial potential field of intelligent vehicle route planning, thereby providing a safe path for the optimum touch smart car. The program is based on the source code made changes, relaxation iteration termination conditions, avoid detection infinitely intelligent car rounded the target down.)

This code realize the MUSIC algorithm.

图象盲目反降晰与降晰核的辨识：迭代算法解teoplitz矩阵以及辨识核的阶数。(blindly anti-image is blurred and blurred nuclear Identification : Solution algorithm teoplitz nuclear matrix as well as identifying the order.)

2. 设 是窄带信号，定义 是在 区间上均匀分布的随机相位。 是寬带信号，它是一个零均值、方差为1的白噪音信号e(n)激励一个线性滤波器而产生，其差分方程为 。 1） 计算 和 各自的自相关函数，并画出其函数图形。根据此选择合适的延时，以实现谱线增强。 2） 产生一个 序列。选择合适的 值。让 通过谱线增强器。画出输出信号 和误差信号e(n)的波形，并分别与 和 比较。 (Computer Experiments: 1. Consider an AR process x(n) defined by the difference equation where v(n) is an additive white noise of zero mean and variance .The AR parameters and are both real valued: a) Calculate the noise variance such that the AR process x(n) has unit variance .Hence , generate different realization of the process x (n). b) Given the input x (n), an LMS filter of length M = 2 is used to estimate the unknown AR parameters and . The step size is assigned the value 0.05. Compute and plot the ensemble average curve of and by averaging the value of parameters and over an ensemble of 100 different realization of the filter. Calculate the time constant according to the experiment results and compare with the corresponded theoretical value. c) For one realization of the LMS filter, compute the prediction error And the two tap-weight errors and Using power spectral plots of , show that)