lab1

根据果蝇优化算法得到极速学习机隐层神经元的数目依据得到的隐层神经元数目和极限学习机的方法对训练样本和测试样本进行训练学习。(According to the fruit flies optimization algorithm to get extreme learning machine based on the number of hidden layer neurons of hidden layer neurons number and extreme learning machine method of training samples and testing samples to carry on the training study.)

16 qam simulation using mathlab to carry out

基于改良圈算法的MATLAB编程求解旅行商问题，程序简单，但是比较粗糙(Improved algorithm based on MATLAB programming cycle traveling salesman problem, the program is simple, but relatively rough)

open dicom file in matlab

说明：  该算法是经典的信噪比估计算法——最大似然估计算法，利用接收信道的先验概率密度函数，ML法能够很好的估计信号的信噪比(The algorithm is a classic signal to noise ratio estimation algorithm- maximum likelihood estimation algorithm, using the a priori receiver channel probability density function, ML method can be a very good signal to noise ratio is estimated)

efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some dataset

Viewpoint Adjustment Using Seam Carving Imitate Parallax with Seam Carving: Foreground objects or other objects of interest are tend to be more “interesting” than the background. Seam carving algorithm can automatically distinguish the two. Removing seams from one side of the object while adding seams to the other side will move the object in one direction while keeping the background relatively the same.

基于MATLAB实现的谱聚类算法，用于图像分割(MATLAB-based implementation of the spectral clustering algorithm for image segmentation)

Chaos Time Seris Toolbox For Analysis and Prediction Version2.9

系统功率联合分配的matlab仿真算法,提高系统性能(Joint distribution power system matlab simulation algorithm)