series_APF

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.

说明：  生成n维变量的拉丁超立方样本点，直接导出样本点。(Generate the sample points of n-dimensional input vectors.)

高斯坐标，大地坐标，空间直角坐标之间的相互转换，参照控制测量下册公式编写。(Gauss coordinates, geodetic coordinates, space conversion between rectangular coordinates, the formula reference book prepared under the control measure.)

基于sobel算子的简单车牌识别提取，算法简单 (Sobel operator based on the simple extraction of license plate recognition algorithm is simple)

some tutorials and books of matlab

用传输矩阵的方法和Matlab技术研究光子晶体的缺陷模式(With the transfer matrix method and Matlab research photonic crystal defect mode)

此为基于MATLAB平台对指纹图像进行细化处理算法(This is based on MATLAB platform thinning algorithm for fingerprint image)

说明：  读取MIT BI心电数据库文件，使用matlab编程，(MIT BI read ECG database file, use the matlab programming,)

说明：  使用分形维数来提取缺陷中的感兴趣区域，本科毕业设计程序(Used to extract the fractal dimension of defects in the region of interest, graduate design program)

Rotate Image by a degree