shixun

manupulates vectors and matrices

This is the matlab code for SVD-DCT image watermarking

车牌检测与识别技术的相关技术： 提出一种梯度增强法对图像边缘进行增强, 该方法主要通过对图像本身信息进行简单梯度变换以突出图像边缘, 并辅以数学形态学中的膨胀法实现牌照的快速定位. 在字符分割部分, 给出了最小面积旋转法以确定牌照的最佳旋转角, 并采用垂直投影法分割牌照中的字符 (License plate detection and recognition technology related technologies: a gradient-enhanced method of image edge enhancement, the method of the image itself, mainly through a simple gradient transform information in order to highlight the image edge, supplemented by mathematical morphology in the expansion of law implementation License Express location. in the character segmentation part, give a minimum area of rotation method to determine the best rotation angle license and using the vertical projection of the character segmentation license)

说明：  贝叶斯分类算法源代码，用于对文本文件进行分类(Bayesian classification algorithm source code, used to classify a text file)

说明：  用MATLAB将excel数据形成图形，针对大量数据的处理很有效(Formed using MATLAB graphics will excel data for processing large amounts of data very effectively)

separality motor excited dc

焦炉加热燃烧过程即时模型设计,把焦炉温度的实时数据生成温度曲线，实现了VC++与matlab的混合编程(Instant combustion process of coke oven model design)

kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas.

针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)

涵盖了多种卡尔曼滤波算法及MATLAB实现（书内附有一些例子的源M文件），作者将多年的工作经验融入此书，使之成为学习卡尔曼滤波的同学一本不可多得的经典参考书。(The book content is very comprehensive, covering a wide range of Kalman filter algorithm and MATLAB implementation of many years of work experience will be integrated into the book, making the students learn a Kalman filter rare classic reference book.)