HoneycombPatternInRectangularWindow

harris角点检测，并对检测的角点用NCC进行匹配(harris corner detection, and detection of the corner points are matched with NCC)

these are thermodynamic codes.

基于matlab的visek模型的数值模拟，可以修改粒子的数量，每步迭代的权重与速度，并将最后各例子的位置及欲动的速度用箭头表示出来，对其他类似作图有一定的借鉴意义。(A matlab code for visek model. the user may change the number of particles, and the related velocity and weight. it gives the final places and velocities of each particle, and could be used for other similar simulations)

This contains original Matlab functions the EEGLAB (formerly ICA/EEG) Matlab toolbox, all released under the Gnu public license (see eeglablicence.txt). See the EEGLAB tutorial and reference paper (URLs given below) for more information.

说明：  MIMO谱扩展信道模型仿真，希望对大家有所帮助(MIMO channel model simulation, we hope to help)

4种启发式算法的问题的matlab程序，非常的实用(4 kinds of heuristic algorithm of the matlab program, very practical)

综合使用多种方法使模糊的人体骨架变清晰，空间图像域的增强(The integrated use of a variety of ways to obscure a clear change in human skeleton)

计算机视觉中的多视几何介绍的基础矩阵的matlab快速求解实现( fundamental matrix)

这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。 功能包括两部分一个简单的弱分类器和一个促进部分: 弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1 要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器” (This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" . )

实现模糊PID控制仿真，非常有用，编程人员只需简单修改参数即可。(Fuzzy PID control simulation, very useful, programmers can simply modify the parameters.)