matlab

基于simulink的FSK仿真建模，已经建好了模板。(simulink的FSK仿真建模)

maximally stable extremal regions matlab code . Image is provided. extract the image and put image location in address

说明：  使用matlab编写的BP神经网络的算法，使用单隐层的网络，其中包括一个实例文件，对20个数据作分类。(Prepared using matlab algorithm BP neural network, using a single hidden layer networks, including an instance of the file, the data for 20 categories.)

harq in lte for channel coding in matlab to correct error in 4g

说明：  二维平平腔激光振荡，采用菲涅尔衍射和fox-li方法，得到两维幅度和相位输出。考虑镜面倾斜的情况。(Flat two-dimensional oscillating cavity laser using Fresnel diffraction and the method of fox-li, the two-dimensional amplitude and phase output. Consider the case of mirror tilt.)

距离公式计算，欧氏举例，马氏距离，巴氏距离(Distance formula, the EU' s example, Mahalanobis distance, the distance Pap)

修改版的matlab画K线的程序，实现了涨为红色，跌为绿色(Modified version of the matlab draw K-line procedures, the rose is red, or green )

用matlab编写的，有限元三维梁单元的单元刚度矩阵计算程序，各节点6个自由度。(prepared by the three-dimensional finite element beam element of the element stiffness matrix calculation program, the 6-DOF nodes.)

The fusion of images is the process of combining two or more images into a single image retaining important features from each of the images. A scheme for fusion of multi-resolution 2D gray level images based on wavelet transform is presented in this paper. If the images are not already registered, a point-based registration, using affine transformation is performed prior to fusion. The images to be fused are first decomposed into sub images with different frequency and then information fusion is performed using these images under the proposed gradient and relative smoothness criterion. Finally these sub images are reconstructed into the result image with plentiful information. A quantitative measure of the degree of fusion is estimated by cross-correlation coefficient and comparison with some of the existing wavelet transform based image fusion techniques is carried out.

让ARToolKit支持MQO模型的必须头文件，GLMetaseq.h(Let ARToolKit support MQO model must header files, GLMetaseq.h)