MIMO-OFDM-channel-estimation

一个简单的记账软件，重点在于使用c++与MATLAB混编，使用MATLAB做图，对记账数据进行分析(A simple accounting software, with emphasis on the use of c++ and MATLAB mixed, use MATLAB to do maps, analysis of accounting data)

本文设计了倒立摆系统的变结构控制方案 并进行了MATLAB仿真(In this paper, the design of the inverted pendulum system of variable structure control program and a MATLAB simulation)

MATLAB 7.0从入门到精通的源码，包含整本书的代码，很不错的(MATLAB 7.0 from the entry to the master source, contains the entire code book, it is good)

字母图像识别算法，O, E, A, U 四个字母进行识别，该算法加入一定噪声之后依然有效。(The basic goal of the program is to perform letter recognition of vowels O, E, A, U in paragraphs provided in form of black-and-white images. Using the training paragraph image, we are allowed to train our program to distinguish among letters. Some difficulties that need to be resolved are noise, joined letters, scaled or tilted letters, and distinguishing between letters that are similar to each other. )

three phase 120 mode of operation of voltage source inverter

说明：  正态总体参数的检验,调用ztest和ttest函数(Inspection normal population parameters)

实验内容 信号与系统试验报告 自己的作业 1.设有两个信号： 要求x(t)和h(t)采样形成离散序列， 参数选择如下： 采样率Δ=4ms， 频率f=30Hz， a=2f2ln(M), M=2.5 在MATLAB下实现连续信号离散化， 并绘制出离散形式的信号波形。 (Experimental signal and system test the contents of the report of one)

说明：  利用高斯频谱产生三维的高斯随机起伏地表的小软件(generates 3D Gaussian random rough surfaces with Gaussian Spectrum.)

做过模糊PID的朋友很多遇到过这种问题，就是仿真启动不起来，停留在e-7等地方或者仿真很慢，自次上次有个朋友说改变步长能解决这个问题，最后的曲线能达到满足要求的时候，我让他找个例子他就没有后文，以前我做了很多这样的模糊PID，但靠改变步长并没有解决问题，仿真曲线直接发散出去了，我自己这两天也总在思考这个问题，通过不断的调试总结，明白了不少，给遇到这个问题的朋友讲解一下解决办法吧，以一个例子详解：(Done a lot of friends of the fuzzy PID encountered this problem, simulation start up, stay in the e-7 and other local or simulation is very slow, have a friend who said to change the step size to solve this problem since the times the last, the finalcurve to achieve to meet the requirements when I asked him to find examples of his later, I have done a lot of fuzzy PID, but by changing the step does not solve the problem, the simulation curve directly divergence out, Itwo days always thinking about this problem, summarized by the debug and understand a lot of friends to experience this problem to explain the solution, an example Detailed:)

说明：  计算模糊熵值，在样本熵的基础上进行改进的模糊航，计算时间序列的复杂性(Computable Fuzzy Entropy Value.An improved fuzzy navigation based on sample entropy is used to calculate the complexity of time series.)