ARMASA

matlab开发的一个消消看游戏 规则很简单 鼠标点击不同形状的对象 则界面内相同形状的对象会消去 上方的对象相应往下掉 并随机增添新的对象 根据消去的对象数量得到相应的分类 总共操作次数是10次 比比看，谁的最终得分高！！(A game programme by matlab.)

流形学习，局部线性嵌入式算法(LLE)，一种智能的算法去推测捕捉高维空间中所包含的低维特征。与适合于局部维数约减的聚类算法不同，LLE算法在单一的低维的全域坐标系统中表征采样空间，然而它并没有优化最小局域。通过对线性重构的局域对称的研究应用，LLE能够描述非线性流形的全局结构，例如那些人脸的数据集或者文本文档集(Manifold learning, embedded local linear algorithm (LLE), an intelligent algorithm to predict capture high-dimensional space contained in the low-dimensional features. And for local dimensionality reduction of the different clustering algorithms, LLE algorithm in a single low-dimensional characterization of the global coordinate system, the sampling space, but it does not optimize the local minimum. Reconstructed by the local symmetry of the linear study of the application, LLE can describe the global structure of nonlinear manifolds, such as those who face data sets or text document collection)

由一张图像提取圆形的边缘,得到离散的点来拟合椭圆,并简单的去除噪声,得到椭圆中心坐标.(Extracted by a picture rounded edges to fit the discrete points oval, and simply remove noise, get the coordinates of the center of the ellipse.)

利用matlab里面的m文件，其中分为两种：脚本文件和函数文件，对其进行调用(Using matlab inside the m file, which is divided into two kinds: script files and function files)

K邻域模式识别方法 KNN算法不仅可以用于分类，还可以用于回归。通过找出一个样本的k个最近邻居，将这些邻居的属性的平均值赋给该样本，就可以得到该样本的属性。更有用的方法是将不同距离的邻居对该样本产生的影响给予不同的权值(weight)，如权值与距离成正比。(k-Nearest Neighbor algorithm )

采用追赶法求解线性方程组。数值计算》典型算例中调试通过。(Using the catch method for solving linear equations. Numerical " Typical examples of the debugging.)

提出了一种新的基于图像分块重构和线性判别分析相融合的方法，主要用于人脸识别。该方法通过计算两幅图像之间图 像块的重构均值误差，运用线性判别分析求出两幅图像降维后的欧式距离，融合重构误差和欧式距离计算这两幅图像之间的差别 程度。(A new block-based image reconstruction and the integration of linear discriminant analysis method is mainly used for face recognition. This method between the two images by calculating the reconstructed image block average error, calculated using the linear discriminant analysis after dimension reduction of two images Euclidean distance, the integration calculation of reconstruction error and the Euclidean distance difference between these two images level.)

TURBO译码性能AWGN信道测试（无菜单）(TURBO AWGN channel decoding performance test (no menu))

用于函数逼近的BP算法程序，可在Matlab中调试运行，绝对可行(For function approximation of the BP algorithm procedure can be run in debug Matlab is absolutely feasible)

Matlab prepared, EM estimation procedures, simple and understandable.