KSVD

这是我的毕业设计，是一个有关PCA与KPCA对数据进行处理提取其特征的程序，采用C++与MATLAB设计而成。(This is my graduation project, a PCA and KPCA on the data processing procedures for extracting the features using C++ and MATLAB design from.)

说明：  folyd用来处理图论中最短路径问题。对传统的folyd算法进行了优化。(folyd to deal with the shortest path in graph theory problem. Folyd the traditional optimization algorithm.)

EasyEnsemble和BalanceCascade是两类不平衡数据集的学习方法(EasyEnsemble and BalanceCascade are two class-imbalance learning methods. They can adaptively exploit the majority class examples, avoiding important majority class examples to be ignored by common under-sampling while maintaining the fast training speed of under-sampling. )

改进蚁群算法求两点间最短路径，基于matlab(Improved ant colony algorithm for the shortest path between two points, based on matlab)

一个pi/4-DQPSK的仿真程序，GUI界面，可以计算误码率(a pi/4-DQPSK simulation program, GUI interface, the error rate can be calculated)

程序完成的功能是用lms算法对声音去噪声。运行后先会听到canon的一小段无噪声的音乐，然后会听到加了噪声后的效果，最后会听到用lms去噪之后的声效。(Program to complete the function with lms algorithm to noise sound. Run first hear the canon of short noise-free music, plus the effect of noise will then hear, and finally will hear the sound denoising with lms.)

这是基于哈尔滨工业大学的《线性系统》理论的课件，提供给大家！(This is based on the Harbin Industrial University, "Linear System Theory" courseware available to everyone!)

用于初学者学习径向基函数神经网络，可以了解径向基函数神经网络的预测程序。对径向基函数神经网络有一个大体的了解。(For beginners to learn the radial basis function neural network prediction program can understand radial basis function neural network. Radial basis function neural network has a general understanding.)

仅通过期限结构来筛选期货品种，从而构建期货多品种对冲策略(future period structure for)

Jacobi矩阵一般是坐标变换时用的——这个坐标系的坐标依次对那个坐标系的坐标求偏导数即得Jacobi矩阵。积分时从直角坐标变到球坐标、极坐标肯定要在积分号里乘上Jacobi矩阵的行列式。 若其特征值全为正，则此Jacobi矩阵正定，即它的任何二次型都大于零。并且如果是对称Jacobi矩阵，还可以实相合于一个单位阵。是比较强的条件。矩阵A的特征值是这个关于x的方程的所有根 det(A-xI)=0(Jacobi)