Hough

这本书的名字叫《matlab基础与编程（第二版）》很适合matlab初学者(This book was called “matlab-based and Programming (2nd Edition”very suitable for matlab beginners)

G Rilling 团队写的一些关于EMD的算法程序，比较详细(It gives some files on EMD by the team of G Rilling,and it show the algorithm on EMD in detail.)

用介观方法格子Boltzmann计算圆柱绕流(Mesoscopic lattice Boltzmann method with calculated flow around a cylinder)

模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集(Simulated annealing, tabu search, genetic algorithms, neural network-MATLAB program collection)

线性卷积要求两个输人序列具有持续时间，但在实际应用中，可能遇到输人序列具有无限持续时间的情况。在这种情况下，分段卷积是一种有效的解决方案。文章讨论了计算分段卷积的两种方法。仿真试验表明，分段卷积方法正确且高效。(The linear convolution needs two finite-time input sequences, but in the actual application, two infi- nite-time input sequences are possible. Under this kind of situation, the partition convolution is an effective solu- tion. In this paper, two methods of the partition convolution are discussed. The simulation experiment indicatesthat the partition convolution is correct and effective.)

读取和写入raw格式图像，此格式图像文件存储一幅图中的全部像素点，并以每个像素点16bit数据保存(read and write a raw format 16-bit image)

此Matlab程序中包含两种定位算法，一种为最小二乘法，另一种为加权最小二乘法。(This Matlab program contains two location algorithm, a least-squares method, the other is weighted least squares method.)

人脸表情识别中的2DPCA方法，特定人识别。(Facial Expression Recognition in 2DPCA method of identifying a specific person.)

segmentation The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity, or texture. Adjacent regions are significantly different with respect to the same characteristic(s).

Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。 load clouds [test_targets, E] = lijsada_boost(patterns, targets, patterns, 100, Stumps ,[]) train_patterns 每列为一样本 train_targets 每列为一样本目标 100 :Number Of Iterations Stumps: Weak Learner Type Learner s parameters :[] adaboost +stumps testRightR = 0.7522(Adaboost is an iterative algorithm)