graydct

Simple Matlab Code for Neural Network Hebb Learning Rule. It is good for NN beginners students. It can be applied for simple tasks e.g. Logic and , or , not and simple images classification.

IEEE33节点含DG遗传算法，简单实用，适合初学者学习，可用于配电网重构(Genetic algorithms, simple and practical, suitable for beginners to learn, can be used for distribution network reconfiguration)

说明：  matlab编写的基于人工势场法的路径规划算法，可运行(The path planning algorithm written by Matlab can run)

matlab 7.0 书籍中的部分程序（Java部分等） 分别是：addslide；cdemo；getbox；getn；netsearch；javatest；whoami；(matlab 7.0 books in the part of the program (Java part, etc.) are: addslide cdemo getbox getn netsearch javatest whoami )

bpsk性能仿真，误码分析，matlab(bpsk performance simulation, error analysis, matlab)

以下程序求一气态复分解反应的标准生成吉布斯函数drGm0，也可求解某分压情况下的化学反应方向（以物理化学简明教程P115例题1为例）(Standard Gibbs function drGm0 program for a gaseous decomposition, can also be a direction for solving chemical reaction under pressure)

Pipelined Chebyshev Functional Link Artificial Recurrent Neural Network for Nonlinear Adaptive Filter

在Matlab环境中编制了以雨流计数法为理论基础的二维载荷谱程序,用以对混合动力电动车电机驱动系统载荷时间历程进行统计处理,得到载荷幅均值雨流矩阵,进行幅均值各自分布假设检验,以及独立性和相关性检验,获得二维联合分布概率密度函数,建立混合动力电动车电机驱动系统台架试验用二维载荷谱.(Prepared in Matlab environment of the rain flow counting method with the theoretical basis of the two-dimensional load spectrum procedure for hybrid electric vehicles on the motor drive system for statistical processing time course load, get a load amplitude mean rain flow matrix, be the mean amplitude of each distribution hypothesis testing, as well as independence and correlation test to obtain a two-dimensional probability density function of the joint distribution, the establishment of a hybrid electric vehicle motor drive system with two-dimensional bench load spectrum.)

基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由 于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份 验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征， 它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来 越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科 的研究热点。(Based on wavelet analysis and principal component analysis of the Face Recognition With the social development of all aspects of society in his capacity as quickly and efficiently verify the requirements of increasingly urgent. Biological characteristics as a result of the inherent human attribute, has a strong individual differences in their stability and, therefore, is an ideal basis for authentication. The use of facial features which is the most natural means of direct, compared with other biological characteristics, it has a direct, friendly, convenient and easy for users to accept. Thus, face recognition has attracted more and more from the computer vision and signal processing and other areas of concern, as a pattern recognition, image processing, such as the research subjects.)

This is code for Haralick feature extraction for image in matlab. The basis for these features is the gray-level co-occurrence matrix. This matrix is square with dimension Ng, where Ng is the number of gray levels in the image. Element [i,j] of the matrix is generated by counting the number of times a pixel with value i is adjacent to a pixel with value j and then dividing the entire matrix by the total number of such comparisons made.