CHAPTER2

MATLAB教材学习资料 matlab的90个实例 matlab的90个中的1-5个(matlab studying ！)

Matlab中进行二维离散傅立叶变换,并显示频谱图的方法。(two version discreate Forier Transemation baced on 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(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，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。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)

一个LDA的算法，可以实现对实现基于LDA的人脸识别(An LDA algorithm, can achieve the realization of Face Recognition Based on LDA)

PLL SIMPLE FOR MATLAB

为了方便操作，批量读取文件夹中的文件。不限制文件夹级数。(In order to facilitate the operation, batch read the file in the folder. Folder does not limit the number of stages.)

OFDM调制解调算法中的下变频算法以及matlab的实现方法(Down-conversion algorithm OFDM modulation and demodulation algorithm and MATLAB implementation)

Dont Press With Parent Layout extends Linear Layout.

icp算法源代码，主要用于点云拼合，是基于matlab上编写的,实现两个点云数据的对准(ICP algorithm source code, mainly used for point cloud registration, is prepared based on MATLAB, the realization of the two point cloud data alignment )

独立成分分析( I C A) 是一项把混合信号分解成具有统计独立性成分的新技术 。I C A近年已在生物医 域的信号分离中展示 了很好的应用前景 。 我们比较系统地介绍了 I C A的基本原理 、 主要算法 、 应用和 究的发展方向，旨在进一步推动有关的理论与应用研究工作。 (Independent Component Analysis (ICA) is a decomposition of the mixed-signal components into a statistical independence of the new technologies. In recent years, ICA has been in bio-medical domain signal separation show a very good application prospects. We systematically introduced the basic principle of ICA, the main algorithms, applications and the development direction of research aimed at further promoting the application of the theory and research.)