IMP

Thresholding is used to segment an image by setting all pixels whose intensity values are above a threshold to a foreground value and all the remaining pixels to a background value. Whereas the conventional thresholding operator uses a global threshold for all pixels, adaptive thresholding changes the threshold dynamically over the image. This more sophisticated version of thresholding can accommodate changing lighting conditions in the image, e.g. those occurring as a result of a strong illumination gradient or shadows.ff

matlab file for calculating the taxes based on some input

descriminador de areas

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)

It is a simple matlab code for array factor.

system identification matlab codes...

对网络划分社区,并找出最大的社区,很有用的程序(Find the largest giant component)

将原图像用bior四层分解，之后弱化低频分量，重构原图，以得到细节。(use wavelet function(bior) to enhance the detail of the image,then reconstuct)

用于算法的 迭代，方便初学者直接查找。更可以灵活运用(For iteration, easy for beginners to find directly. More flexibility to use)

在控制工程中的应用，自动化的学生应该用的到(matlab in control engineering)