HighOrderStatistic

基于SVM的手写数字识别及数字图像的特征提取(SVM-based handwriting recognition and digital image feature extraction)

利用MATLAB函数创建矩阵的四种方法，矩阵的基本运算，以及对应的函数(MATLAB function to create a matrix of four methods, the basic operations of the matrix, and the corresponding function)

说明：  RD算法作为SAR处理中最重要的处理算法，在远场近似的条件下，可将二维处理分离为两个一维处理，降低了运算量，成像效果良好。(RD算法作为SAR处理中最重要的处理算法，在远场近似的条件下，可将二维处理分离为两个一维处理，降低了运算量，成像效果良好。 RD algorithm is the most important processing algorithm in processing SAR, in the far field approximation, the two-dimensional separation into two one-dimensional processing, reduces the amount of computation, good imaging effect. )

the code file that is uploded is harmfreq file

功能简单，实现了加减乘除，取余等简单功能。适合初学者使用。(Features simple addition and subtraction multiplication and division achieved, take over other simple functions. Suitable for beginners.)

说明：  这是一个预测很多东西都可以的预测程序，但是我没有编好，谢谢啊(This is a lot of things can forecast the forecasting process, but I do not for good, thank you ah)

现代通信系统使用MATLAB一书中第二章，书的作者是刘树堂(Modern communication systems using MATLAB, a book chapter, book the author is LIU Shu-tang)

fast forier transform 32

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.)

说明：  Matlab code for RS encoding and decoding