dianjiquxian

说明：  这是用MATLAB 编写的有关城市旅游商问题的最新程序，挺有效。(MATLAB prepared by the city tourism to the latest procedures, they are effective.)

利用卫星数据描绘大洋表面温度，并附有分析说明(Using satellite data depicting ocean surface temperatures, along with analysis shows)

Qam base Ofdm system

An implementation of Horn-Schunck optical flow method for 3-D images(This is an implementation of Horn-Schunck optical flow method for three dimensional images. A demo with test dataset is given.)

it is the matlab code of particle swarm optimization with a test function that can be change..

说明：  通过比较自编MATLAB 的k-means 算法程序和SPSS 中自带的k-means聚类工具，对两个数据集聚类，并分析了聚类结果。(By comparing the k-means algorithm program of self-compiled MATLAB with the K-means clustering tool of SPSS, two data sets are clustered and the clustering results are analyzed.)

本程序利用 MIMO模型，对信道通信进行了仿真，希望对大家有用(This procedure models the use of MIMO, the communications channel simulation, in the hope that useful)

信号在信道进行传输时，经常会出现串扰，采用基于最大似然序列估计（MLSE）的电子色散均衡器的方法，克服光纤通信中的由各种色散引起的码间干扰。 研究基于最大似然序列估计（MLSE）的均衡器，采用维特比算法实现，用matlab仿真出采用MLSE后的性能指标（眼图和误码率）的提升。 (Signal transmission channel, often occur crosstalk, based on the maximum likelihood sequence estimation (MLSE) method for electronic dispersion equalizer, overcome the optical fiber communication in a variety of dispersion caused by intersymbol interference. Research Based on the maximum likelihood sequence estimation (MLSE) equalizer, using the Vitby algorithm, the performance index using MLSE after matlab simulation (eye diagram and bit error rate) promotion.)

主要是基于extreme learning machine的改进算法，结合了增量学习(It’s mainly based on the extreme learning machine improvement algorithm, unified the increase study )

对图像进行逐点计算，并且取最大值和最小值的差值作为该点新的灰度值。 在区别边缘点和非边缘点时，首先确定一个阈值T，若图像中像素点的新 值大于该门限值，则可以初步确定为边缘点，小于T的新值被判断为非边缘点.(Image point by point basis, and taking the maximum and minimum points of difference as the new gray value. Edge in the difference between point and non-edge point, first determine a threshold T, if the image of the new pixel value is greater than the threshold, you can initially identified as the edge point, the new value is less than T have been judged as non-edge point.)