gabor_PCA_LDA_FV_recognition

说明：  粒子群算法matlab实现方法！！！！！(PSO)

平均电流控制的boost pfc仿真 请用最新版本打开(Boost pfc average current control simulation)

在Adult等数据集上比较NB和LR算法的优缺点(Adult and other data sets in the NB and LR algorithms to compare the advantages and disadvantages)

模拟2个独立窄带信号分别以20°，60°的方向入射到均匀线阵上，信号间互不相关，与噪声相互独立，噪声为理想高斯白噪声，阵元间距为入射信号波长的1／2，快拍数为200，信噪比为20dB，阵元数分别为10，50，100。 (Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA, among signal unrelated, independent noise, the noise is ideal Gaussian white noise, the array element spacing of the incident signal wavelength of 1/2, the number of snapshots 200, SNR is 20dB, the array element number 50, 100, respectively.)

matlab2008a版本的使用教程和范例，包括book文件夹和m文件夹。(matlab2008a version of the use of tutorials and examples, including folders and m book folder.)

主要是用于智能天线系统中的DOA估计的子空间算法中的MUSIC改进算法(is mainly for smart antenna system DOA estimated subspace algorithm MUSIC improved algorithm)

数学建模第十三讲，关于matlab的的一个代码(Mathematical modeling the newsboy model courseware, the code)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhar博士和kennedy博士发明。源于对鸟群捕食的行为研究 ，PSO同遗传算法类似，是一种基于叠代的优化工具。 (Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), and has Eberhar Dr. Dr. kennedy invention. Stems from the behavior of predatory birds, PSO with genetic algorithm is similar to an iterative optimization-based tools.)

Horn-Schunck optical flow method是光流法处理的一种经典方法。希望对学习光流的朋友提供帮助。(Horn-Schunck optical flow method is the optical flow method of treatment of a classic. I hope to learn optical flow of a friend to help.)

该资料是汇总了大部分的MATLAB的命令语句，涵盖的面很广，包括常用命令，运算符和逻辑函数，语言结构和调试命令，矩阵和矩阵操作基础，数学函数与坐标变换，数据分析，多项式，双重函数，声音处理，字符串函数，低层文件输入输出函数，位操作结构和对象函数，数组函数，图像可视化函数这些模块。希望对大家学习MATLAB有所帮助。(This information is a summary of most of the MATLAB command statement, surface covers a wide range, including the commonly used commands, operators, and logical functions, language structure and debug commands, matrices and matrix operations based on a mathematical function and coordinate transformation, data analysis, polynomials, dual function, sound processing, string functions, low-level file input and output functions, function-bit operating structures and objects, arrays, functions, image visualization functions for these modules. We hope to learn MATLAB help.)