diktat-gabungan-matlab

Ensemble修改程序，包括源程序和调用程序及实例。(Ensemble modify the program, including the source and call procedures and examples.)

The Cross Bilateral filter can enhance the PSNR of multi focus images that is in image fuison. Bilateral filtering is a local, nonlinear and non- iterative technique which combines a classical low-pass filter with an edge stopping function that attenuates the filter kernel when the intensity difference between pixels is large. As both gray level similarities and geometric closeness of the neighboring pixels are considered, the weights of the filter depend not only on Mahalanobis distance but also on the distance in gray/color space. The advantage of the filter is that it smoothes the image while preserving edges using neighboring pixels. CBF considers both gray-level similarities and geometric closeness of neighboring pixels in image one to shape the filter kernel and filters the image two.

悬吊式起重机动力学仿真 源码和word说明(Suspension crane dynamics simulation source and word description)

说明：  MATLAB数学实验之符号运算，其中包含课件以及习题和答案，文档中附有源程序(MATLAB Mathematical experiments symbolic computation, which includes courseware, as well as exercises and answers documents available source)

Parallel Weka Algorithm

说明：  自己编写的用模拟退火算法求解TSP问题的matlab程序(I have written with simulated annealing algorithm matlab program for TSP)

matlab正交频分复用(OFDM)技术matlab实现仿真源代码(matlab orthogonal frequency division multiplexing (OFDM) technology to achieve simulation source code matlab)

本程序生成的图片容量大概3M左右，所以对计算机配置要求较高。(This program generates pictures capacity probably about 3M, so the higher the computer configuration requirements.)

it is useful for my research work

1-8遗传算法，9 多目标Pareto最优解搜索算法，10 基于多目标Pareto的二维背包搜索算法，11-12免疫算法，13-17粒子群算法，18鱼群算法，19-21模拟退火算法，22-24蚁群算法，25-27神经网络，28 支持向量机的分类，29 支持向量机的回归拟合，30 极限学习机的回归拟合及分类(1-8 genetic algorithm, 9 multi-objective Pareto optimal solution search algorithm, 10 multi-objective Pareto based two-dimensional knapsack search algorithm, 11-12 immune algorithm, 13-17 particle swarm algorithm, 18 fish swarm algorithm, 19-21 simulated annealing algorithm, 22-24 ant colony algorithm, 25-27 neural network, 28 support vector machine classification, 29 support vector machine regression simulation Regression Fitting and Classification of Combination, 30 Extreme Learning Machines)