reinforcement

说明：  amuzesh matlab farsi

置信传播是一中很有效的算法，将其应用于检测，通过在检测与译码之间迭代交换传递信息，并有选择地通过单边消息传递来更新信息，降低系统实现的复杂度。 (Belief propagation is a very efficient algorithm to be applied to the detection, the information transmitted by the exchange between the iterative detection and decoding, and to update the information, to reduce the complexity of system implementation is selectively transmitted through unilateral messages.)

用来进行支持向量机数据分类和特征提取。可用于机械故障诊断领域(Used for support vector machine classification and feature extraction. Can be used in the field of mechanical fault diagnosis )

数学建模资料，含有详细的数学建模算法，参加数学建模大赛的必备资料(Mathematical modeling data, contains detailed mathematical modeling algorithm)

matlab程序运行时导入数据文件作为输入参数，gFzHFju参数是一种双隐层反向传播神经网络，应用小区域方差对比，程序简单，包含收发两个客户端的链路级通信程序,EPuUHVR条件有详细的注释，matlab开发工具箱中的支持向量机。( Import data files as input parameters matlab program is running, gFzHFju parameter Is a two hidden layer back propagation neural network, Application of small area variance comparison, simple procedures, Contains two clients receive link-level communications program, EPuUHVR condition There are detailed notes, matlab development toolbox support vector machine.)

MATLAB实现的一种基于最小二乘的椭圆拟合直接算法源代码(MATLAB implementation of the ellipse fitting based on least-squares algorithm for the source code directly)

资料中包含利用校验子（错误图样）译码的原理、编码流程图以及matlab的编码，程序中配有注释，通俗易懂。(Information contained in the use of sub-parity (error pattern) decoding principle, flow charts and coding matlab code, the program with notes, easy to understand.)

说明：  很使用的一个系统辨识工具箱，其中包括许多系统辨识经典算法啊。。。希望对大家有用。(Is to use a system identification toolbox, including many system identification algorithms ah classic. . . Hope useful for all of us.)

逆合成孔径雷达发射信号，通过对观测目标反射的回波进行数据处理，分离出目标的图像信息，从而对目标进行成像( ON划词翻译ON实时翻译 Inverse synthetic aperture radar transmitted signal, data processing by the reflection observation of target echo, separating the image information of the target, so as to image the target)

性能比较好的LDA人脸识别代码一份，用lda对人脸进行识别(LDA face recognition code with good performance and recognition of human face with LDA)