Phase-Correction

支持向量机是用于分类与回归的技术。由于其自身的诸多缺点，如无法获得概率输出，需要估计一个误 差参数C，以及必须使用Mercer 核函数等。相关向量机算法，克服了SVM 上述缺点，RVM 能获得与SVM 相比拟的推 广性能，并且更为稀疏。在此基础上，文中介绍了一种RVM 回归用于分类的新分类方法，用RVRC 来表示。并通过 实验证明了它的可行性。(Support vector machines for classification and regression techniques. Due to its many shortcomings, such as the probability that the output can not be obtained, need to estimate an error parameter C, and the need to use Mercer kernel function and so on. Relevance vector machine algorithm to overcome these shortcomings of SVM, RVM and SVM can be obtained comparable to promote performance and more sparse. On this basis, the paper introduces a RVM regression was used to classify new classification method, RVRC to represent. And through experiments proved its feasibility.)

MATLAB在数值分析中的应用（源程序）(MATLAB in numerical analysis applications (source))

control system assignment

MATLAB在振动信号处理中的应用一书对应章节代码，亲测可用(MATLAB vibration signal processing in the application of a Book corresponding chapter code, pro test available)

决策树分类程序，包含使用的数据集和运行结果(Decision tree classifier, including data sets used and running results)

说明：  一个dbnunfoldtonn函数，用于一个DBN例子中。(a dbnunfoldtonn function for a dbn example.)

一种对于图像的同态滤波算法，显示滤波前后的图像效果(For the homomorphic image of a filtering algorithm to show the images before and after the effect of filtering)

说明：  此为频偏校正程序,通过TD_GG算法得到的频偏值还存在几赫兹的残余频偏，这里，我们可以通过反馈算法进行校正，以得到更加精确的频偏值。(for this frequency offset correction procedure for the adoption of the algorithm TD_GG Frequency values still exist remnants of a few hertz frequency offset, here, we can pass feedback correction algorithm, to be more precise frequency offset value.)

用自相关法求使信号s均方预测误差为最小的预测系数 (Autocorrelation and the signal s mean square prediction error for the smallest prediction coefficients)

matlab 插值与拟合的几个程序 牛顿迭代法 数值分析与mtlab源码 还有其他的一些例子(Matlab interpolation and fitting of several procedures Newton iterative numerical analysis and also its source mtlab Some of his examples)