double-inverted-pendulum

fft and view in matlab

matlab读取电离层电子含量文件，主要是读出格网数据。(matlab read the ionospheric electron content of the document, the main network data is read out of line.)

结合cmac 的pid控制原码 可仿真实现 结果有误差曲线 跟踪曲线 参数整定曲线等(Combination of CMAC)

基于四叉树分解并且使用区域分离和合并的图像分割(based quadtree decomposition and the use of regional separation and integration of image segmentation)

基于matlab平台，实现人嘴型识别MouthRecognition功能。(Based on matlab platform, achieving recognition MouthRecognition lips function.)

用Durbin递归求预测误差滤波器和它的输出，求解一维信号反卷积(Use Durbin recursive prediction error filter and its output, solving one-dimensional signal deconvolution)

实现基本的PCM编译码功能，函数简单，程序可行(PCM encoding and decoding functions to achieve the basic function is simple, practical procedures)

说明：  提取调制信号2ASK的瞬时幅度、瞬时相位、瞬时频率(2ASK modulation signal extracted instantaneous amplitude, instantaneous phase, instantaneous frequency)

Basics of the Neural Networks Toolbox 4.0.1

说明：  Leslie模型实例：基于Leslie矩阵的算法，同时将人口按10年一组分成m个年龄段，并根据一些影响人口数量和结构的重要因素（建立模型。再根据我国近十年的二孩出生率的实际情况并结合少数民族不受影响的因素，通过Matlab画出拟合曲线对2017-2030年我国每年人口总数做出预测。此后，根据近十年0-14岁、15-64 岁、65岁及以上三个年龄段的人数，计算出人口抚养比，用Matlab预测至2030年的人口结构。为了使预测更加精确，我们还将夫妇的生育意愿考虑到模型当中。(Based on the Leslie matrix algorithm, the population is divided into m age groups according to a group of 10 years, and according to some important factors that affect population size and structure Modeling. Then according to the actual situation of the birth rate of second-born children in China in the past ten years and combining the factors that are not affected by ethnic minorities, drawing a fitting curve through Matlab will make a prediction for the total population of China in 2017-2030. After that, based on the number of people aged 0-14, 15-64, and 65 years of age in the last ten years, calculate the dependency ratio of the population and use Matlab to predict the population structure by 2030. In order to make the prediction more accurate, we also consider the couple's fertility intention in the model.)