main_1

example codes for pattern recongnition fourth edition

在未来B3G/4G系统中所采用的SCME信道模型是SCM信道模型的扩展。扩展保持简便性和向后兼容性(In the future B3G/4 g system adopted by the SCME channel model is an extension of the SCM channel model. Extension keep ease and backward compatibility)

针对拟合问题的正则化工具箱，具体包括Tikhonov正则化、TSVD正则化等，也包括选择正则化参数的L-curve,GCV等正则化参数选取方法以及Picard条件计算等。(The regularization toolbox for fitting problems includes Tikhonov regularization, TSVD regularization, L-curve, GCV regularization parameter selection method and Picard condition calculation.)

说明：  在微电网的优化配置过程中采用遗传算法对其进行优化配置(Genetic algorithm is used to optimize the microgrid configuration)

用MATLAB的SMULINK 实现的模糊算法，用于温度控制，可以直接运行，参数已经调整好(To achieve the SMULINK with MATLAB fuzzy algorithm, for temperature control, can be directly run, the parameters have been adjusted)

说明：  解方程的matlab源码，有问题的请大家说明(Solution of equation matlab source, there are problems please note)

cdma matlab code full one

neural networks in matlab

图像配准常常是作为其他图像处理应用的前处理步骤使用的，往往用于图像的对准、目标识别与定位。介 绍了在MATLAB系统中，如何应用MATLAB的IPT函数对图像进行配准的方法：首先用人机交互的方法在待配 准图像与基准图像之间进行图像配准所必需的匹配控制点的选取，然后用这些匹配控制点来计算两图像的某种空 间几何变换关系，最后利用这个空间几何变换关系对待配准图像进行几何变换，获得配准结果。实验表明，该方 法实现容易，且非常有效。 (Image registration is often as other image processing applications, the use of pre-treatment steps are often used for image alignment, target identification and location. Introduced the system in MATLAB, how to use MATLAB function of the IPT image registration method: First of all, employing the method of cross-machine in question and the baseline image registration between image image registration by matching control points necessary for the selection, and then use these control points to match the two images to calculate the geometric transform the relationship between a certain space, and finally make use of the space relationship between the treatment of geometric transformations with quasi-geometric image transformation, the results obtained registration. Experiments show that the method easy and very effective.)

说明：  这是一篇关于视频序列人脸图像分割与识别技术研究的文章(This is a video sequence of image segmentation and face recognition technology research articles)