WiMAX_TX

MATLAB在概率统计中的若干命令和使用格式，这些命令存放于MatlabR12ToolboxStats中。(MATLAB in Probability and Statistics in the number of orders and the use of format, the commands stored in MatlabR12ToolboxStats in.)

说明：  基于matlab颜色特征图像检索的颜色特征的提取(Matlab color feature based on the color image retrieval feature extraction)

用于matlab的遗传算法工具箱（里面含有遗传算法所有的操作，如：交叉、变异等等）(for Matlab Toolbox Genetic Algorithm (it contains all the genetic algorithm operators, such as : cross Variation etc.))

LMS算法是研究最早的自适应算法，简单实用是其最主要的特点。但是仅进行一次求自适应权，还不够准确，本算法中将多次求权平均的结果与单次求的结果进行了比较！(LMS algorithm is the first study of the adaptive algorithm, meanwhile, simple and practical is its main feature. But if only seek adaptive right once,this is not accurate enough,so my algorithm take a comparison between the results of the weighted average and the results with a single seeking!)

用matlab实现对语音信号的短时分析，包括清音和浊音的判决，基音周期的估计，实验报告。(use matlab language analysis the speech signal,contains the analysis for unvoiced sound and voiecd sound.)

运用全局最优算法进行的盲源分离的实现，可以多种情况进行盲源分离(BSS based on Global Optimal Algorithm )

matlab小波包变换实现图像分割，含示例图像，分割结果较好(the matlab wavelet packet transform image segmentation, containing the sample image segmentation result is better)

径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)

该Matlab程序用于超音速气流作用下板梁的非线性颤振分析(The Matlab program for nonlinear flutter analysis of supersonic airflow plate girder)

递推偏最小二乘法（RPLS）采用自适应更新策略，更好的实现建模和实时监测，并提供实例说明。(Recursive partial least squares (RPLS) using adaptive update strategy, better realize the modeling and real-time monitoring, and provide examples. )