SegmentationWithGaborf

迭代实现非线性函数（电离层延迟模型）的参数拟合问题(Iterative realize nonlinear function (Ionospheric delay model) the problem of parameter fitting)

GLCM_Features1 helps to calculate the features from the different GLCMs that are input to the function. The GLCMs are stored in a i x j x n matrix, where n is the number of GLCMs calculated usually due to the different orientation and displacements used in the algorithm. Usually the values i and j are equal to NumLevels parameter of the GLCM computing function graycomatrix(). Note that matlab quantization values belong to the set {1,..., NumLevels} and not from {0,...,(NumLevels-1)}

对二阶被控对象实现直接自适应模糊控制器设计与仿真(Implementation of the Second accused of objects Direct Adaptive Fuzzy Controller Design and Simulation)

ESQ measure: ------------- Usage of the PESQ objective measure is as follows: [pesq_mos]=pesqESQ measure------------- Usage of the PESQ objective measure is as follows: [pesq_mos]=pesq(cleanfile.wav,enhanced.wav) where cleanfile.wav contains the clean speech file and enhanced.wav contains the enhanced file. ------------------------- Loizou, P. (2007) "Speech enhancement: Theory and Practice", CRC Press. Any questions, please email: loizou@utdallas.edu.(ESQ measure------------- Usage of the PESQ objective measure is as follows: [pesq_mos]=pesq(cleanfile.wav,enhanced.wav) where cleanfile.wav contains the clean speech file and enhanced.wav contains the enhanced file. ------------------------- Loizou, P. (2007) "Speech enhancement: Theory and Practice", CRC Press. Any questions, please email: loizou@utdallas.edu)

改进的基于遗传算法的被动声目标定位，采用的是DOA类算法(Improved genetic algorithm based on passive acoustic target, the algorithm is DOA)

FDTD的单向波传播,充分说明了FDTD的编程原理(FDTD one-way wave propagation, fully illustrated the principles of programming FDTD)

说明：  matlab 解决最优化问题的教程。在科学研究和工程实践中经常遇到。(matlab solve the optimization problem of the course. In scientific research and engineering are often encountered in practice.)

关于matlab的学习资料，内容很多，上手很容易(On Matlab learning information, a great many things, easy to get started)

This application based REcruitment based project

四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。(Four clustering algorithm source code and sample code, the ultimate goal of this process is the formation of a set of criteria for clustering, scalable tool. Including the contents of 1. Clustering Algorithm: Kmeans and Kmedoid algorithm, FCMclust, GKclust, GGclust algorithm 2. Assess the classification of a prototype: The procedure can be two-dimensional images to map out the results of clustering 3. Verify: Program to provide every algorithm authentication mechanism, each clustering algorithm statistics Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several indicators.)