Matlab_Introduction

实现了CA-CFAR算法仿真，得到其检测门限及检测概率曲线。并使用基于蒙特卡洛仿真方法得到检测门限及检测概率曲线，与传统的CA-CFAR算法进行了比较。(CA-CFAR algorithm to achieve the simulation, its detection threshold and detection probability curve. And use the resulting Based on Monte Carlo simulation method detection threshold and detection probability curve, with the traditional CA-CFAR algorithm were compared.)

擅 蔓：以人脸的表情识别为实验背景， 分析了在对人脸表情的识别过程中，单个独立分薰对识别率的影响，由此进一步总结了在表情识 别中如何更有效地选取独立子空间，以实现在不影响识别率的前提下，减少用于构成独立子空问所需的独立分量的个数。 独立成分分析；表情识别；独立子空间 (Good man: Face to face identification for the experimental background, the analysis of facial expressions in the identification process, a single smoked separate the impact of the recognition rate, thus further summarized in the expression recognition of how to more effectively select the independent sub-space in order to achieve the recognition rate does not affect the premise, for constituting a separate sub-reducing space required for the number of independent component. Independent component analysis expression recognition independent subspace)

说明：  该文件是极值算法的研究，包括一个主程序，一个最适应值程序和一个EO源程序，已通过系统仿真测试(The file is extremal algorithm, including a main program, one of the most fitness programs and a source EO has been tested by simulation)

these are the different matlab codewhich will help u to make different types of matlab codes thanks alot

说明：  matlab实现一些基础的模式识别工作，如贝叶斯分类，聚类算法，bp神经网络(Matlab implements some basic pattern recognition work, such as Bayesian classification, clustering algorithm, BP neural network)

FIR filters in Matlab

硬件开发磁光效应与声光效应Hardware development magneto-optical effect and sound and light effects(Hardware development magneto-optical effect and sonoluminescence Hardware development magneto-optical effect and sound and light effects)

说明：  流形学习（Manifold Learning）的一种算法：拉普拉斯特征映射（LE）(An algorithm of Manifold Learning: Laplacian Feature Mapping (LE))

This code is improving parts of the image with imcrop according to the 2-D histogram (mesh).

说明：  用于主成分分析和概率主成分分析的Matlab程序(Used principal component analysis and probabilistic principal component analysis Matlab program)