second-order-ABC

一些基于matlab/simulink的模型，以及s-function实现的网络控制系统模型，其中计算机、网络部分采用truetime模块！(based Matlab/Simulink model, and s-function achieving the network control system models, in which computers, network components using truetime module!)

Z源逆变器的光伏系统仿真，对象是直流无刷电机，理论很深，对写论文有帮助(Z-source inverter PV system simulation, the object is a DC brushless motor, deep theory, help to write papers)

本文针对当前科技水平不足以有效存储电力的情况下产生的发电机机组组合的问题，考虑负荷平衡、输电线传输容量限制等实际情况产生的约束条件，建立机组组合优化模型，追求发电成本最小。同时采用矩阵实数编码遗传算法（MRCGA）和穷举搜索算法，利用MATLAB 7.0.1和C++编程，分别对模型进行求解，并对所得结果进行分析比较，以此来帮助电力部门制定机组启停计划(This article in view of the current level of science and technology would not effective storage power generator unit combination problem, considering the load balance, such as transmission line transmission capacity, the actual situation of constraint conditions, unit combination optimization model is set up, the pursuit of power generation cost minimum. At the same time using matrix real-coded genetic algorithm (MRCGA) and exhaustive search algorithm, using MATLAB 7.0.1 and c++ programming, the model is solved respectively, and analyzes and compares the results to help power unit start-stop planning department)

mma7260 加速度传感器 输出电压和倾角关系图绘制(mma7260 accelerometer and tilt sensor output voltage relationship mapping)

说明：  四轴飞行器Matlab仿真分析,涉及四轴飞行器主要部件如Motor,camera,电池等，分析包括稳定性、动力等(Four aircraft Matlab simulation analysis, involving Four major components of aircraft, such as Motor, camera, battery, etc., analysis, including stability, power, etc.)

针对上述文章中存在的问题而修改的小波图像分解程序(In response to these problems in the article modified wavelet image decomposition process)

C语言实现直方图均衡化算法，结果与matlab函数一致，代码很简单，适合初学者。(C language implementation histogram equalization algorithm, the results are consistent with the matlab function, the code is very simple and suitable for beginners.)

实现脉冲消隐以在通信系统去除较大干扰,保证误码率性能(Realization of pulse blanking to remove larger interference in communication system, guaranting the bit error rate performance)

基于matlab的模糊逻辑方面的国外资料，介绍了如何用matlab实现模糊理论。(The world we live in is becoming ever more reliant on the use of electronics and computers to control the behavior of real-world resources. For example, an increasing amount of commerce is performed without a single banknote or coin ever being exchanged. Similarly, airports can safely land and send off airplanes without ever looking out of a window. Another, more individual, example is the increasing use of electronic personal organizers for organizing meetings and contacts. All these examples share a similar structure multiple parties (e.g., airplanes or people) come together to co-ordinate their activities in order to achieve a common goal. It is not surprising, then, that a lot of research is being done into how a lot of mechanics of the co-ordination process can be automated using computers.)

fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2)) with parameters: m,s format: result = fit_ML_log_normal( x,hAx ) input: x - vector, samples with log-normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields m,s - fitted parameters CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML