pso_2D

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 )

IFFT 基于matlab实现，可用于OFDM前导训练序列的生成(IFFT OFDM preamble training sequence can be used to generate based on matlab implementation)

模式识别，源程序。Ada_Boost.m文件。希望能有用，经调试可用。(Pattern recognition, source. Ada_Boost.m file. Hoping to be useful, debugging is available.)

正交频分复用(OFDM)是第四代移动通信的核心技术,它是实现多媒体业务发展的基础.讨论了如何利用Simulink进行OFDM系统仿真,并给出了具体的仿真模型.利用仿真模型得到OFDM差错性能分析结果,通过对结果的分析,提出了改善性能的方法. (Orthogonal frequency division multiplexing (OFDM) is the core of the fourth generation mobile communication technology, it is the basis for the development of multimedia services. Discusses how to use Simulink for OFDM system simulation, and given the specific simulation model. Using the simulation model OFDM Error Performance Analysis of the results obtained through analysis of the results, proposed to improve performance.)

用MATLAB让ASK信号产生~~~~~~~~~~~~~~~~~~~~~~~~(ASK signal using MATLAB to generate ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~)

说明：  拟合各种常见分布程序，产检的威布尔分布，瑞利分布，K分布等分布，采用语言为matlab。(Fitting a variety of common distribution procedures, check-Weibull distribution, Rayleigh distribution, K distribution of the distribution, the use of language matlab.)

hilbert-huang 变换的源码 蛮有用的(hilbert-huang transform source quite used)

this method makes LPC coefficients wiouth LPC function

说明：  zero sequence caliculation

用matlab编写的基于PCA的人脸识别算法，包含图片库，可以直接运行，找出图片库中与测试图片相匹配的图片。(Matlab prepared with PCA-based face recognition algorithms, including image libraries, can be run to identify and test gallery picture of the picture to match.)