boyin747simulink

主元分析理论分析及应用，对pca的理论进行了通俗易懂的解释，是一个不错的初学教程。(Principal Component Analysis and application)

该程序用来对图像进行维纳滤波复原操作处理，用MATLAB实现。(the procedures used to image Wiener filter recovery operation, using MATLAB.)

说明：  利用FIR滤波器设计一个低通滤波器，能够分析到电力系统中的三次谐波，要求满足如下指标：截止频率150HZ，阻带衰减≥30db(FIR filter design using a low-pass filter, to analyze the power system in the third harmonic, the requirements to meet the following indicators: cut-off frequency 150HZ, stopband attenuation ≥ 30db)

本程序适用于论文Robust Sparse Coding for Face Recognition(this code is for Robust Sparse Coding for Face Recognition)

16QAM编译码程序，在信号调制过程中是不可缺少的成分(16QAM encoding and decoding process, in the course of signal modulation is an indispensable ingredient)

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.)

Level Set Evolution Without Re-initialization一文的matlab实现(Level Set Evolution Without Re-initialization of the matlab realize one text)

压缩感知方面的源代码，采用matlab编写(Compressive Sampling matlab)

基于MOGA方法的多目标遗传算法程序,本程序为通用包,可自行修改.(MOGA is based on the multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own.)

说明：  本书讲述数字信号处理的实现,并对DSP中大多数的MATLAB函数都做了详细的说明.(Book tells digital signal processing realization and DSP in Most MATLAB functions done detail.)