LTE

runlength coding with zigzag. to run it call zigzag.m

数学建模中基于matlab的神经网络算法(Mathematical modeling of neural network algorithm based on matlab)

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

说明：  计算HURST指数，自己编写，这是经过修正之后通过变成得出来的结果，网上一般很少有这类文件。(HURST index calculation, write your own, which is revised after the results come through into a very, very few of these files online usually.)

对任意视频进行分帧与合成，本方法的实时性很好，基本能达到实时处理(For any video framing and composition, this method is very good real-time, basic to achieve real-time processing)

输入8位电话号码，自动为每位数字生成对应的DTMF信号，送出双频声音(Enter the eight telephone number, automatically generates the corresponding DTMF signal for each digit, dual-frequency sounds sent)

经典粒子群算法的matlab实现。用多维函数进行测试。并给出算法寻优迭代的效果图(Classical PSO algorithm matlab. Tested with multi-dimensional functions. And gives an iterative optimization algorithm renderings)

用ADS和matlab进行了PLL的仿真实现，对与PLL的学习有一定的作用(Carried out with the ADS and the PLL matlab simulation realization, and the PLL has a role in learning)

非线性系统的模型阶次辨识+模型系统辨识，非常有效(Model order nonlinear system identification+ model system identification, is very effective)

PLS toolbox 3.0 manual for matlab