least-squares

Apply the standard QR-decomposition based LSL algorithm using angle-normalized error to predict/estimate complex-valued processes.

这是一个基于matlab软件的电机建模仿真。(This is a modeling simulation matlab software-based motor.)

stegenogrpahy in matlab based on dwt

基于MATLAB的一阶和二阶模型辨识程序（加入1 的白噪声）仿真后得出辨识以及实际阶跃图形(MATLAB-based first-order model identification procedures (adding 1 white noise) simulation based on the identification of the actual step graphics)

The 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. A contrast function measures the statistical dependence between components, thus when applied to estimated components and minimized over possible demixing matrices, components that are as independent as possible are found.

GrTheory - Graph Theory Toolbox. Functions: grBase - find all bases of digraph grCoBase - find all contrabases of digraph grCoCycleBasis - find all independent cut-sets for a connected graph grColEdge - solve the color problem for graph edges grColVer - solve the color problem for graph vertexes grComp - find all components of graph

说明：  基于matlab的数据处理归一化函数代码(Data processing normalization function code based on MATLAB)

说明：  在matlab中运用匈牙利算法计算铁路列车车次接续问题(Using Hungarian Algorithm to Calculate the Connection Problem of Railway Trains in Matlab)

说明：  采用matlab编程实现蚁群算法工具箱，次此程序为matlab蚁群算法工具箱的源代码(The ant colony algorithm toolbox is realized by MATLAB programming, and the source code of the MATLAB ant colony algorithm toolbox is the next.)

说明：  径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)