beamforming

现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)

MATLAB编写的信号卷积程序，不是用函数库的函数，而是自己写的卷积过程(signal convolution by MATLAB)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.)

讲述PCM及13折线A率编码与解码的概念，随机给出一个语音信号，并用A率13折线的方法matlab编程对其编码与译码 (About the concept of PCM and 13 line-rate encoding and decoding A randomly given a voice signal and a line with a rate of 13 A method of encoding and decoding matlab programming for its)

1、掌握MATLAB优化工具箱的基本用法，对不同算法进行初步分析、比较。 2、练习实际问题的非线性最小二乘拟合。(1.Understand the basic usage of Matlab optimization tool box. Analize and Compare different algorithms. 2. Practise nonliear minimum second order fitting using practical problems.)

基于simulink 的OFDM框架仿真文件系统仿真(Simulink simulation based on the OFDM framework for file system simulation)

说明：  这是个关于图像迭代法分割算法的源程序，在matlab上实现(This is iterative image segmentation algorithm on the source, to achieve in matlab)

MATLAB实现基于趋近律的滑模控制 (MATLAB Reaching Law based Sliding Mode Control)

在MATLAB中用差分方程法求给定脉冲响应的传递函数(Transfer function of the differential equation method in MATLAB with the demand for a given pulse response)

force calculation with Matlab (fem)