MATLABEngine

LSVM : Langrangian Support Vector Machine algorithm LSVM solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation

关于信道编译码的Matlab源代码！,对各种通用信道编码方案给出实现方法(Channel codec on the Matlab source code! , For a variety of common channel coding scheme given method)

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

MATLAB辅助小波分析与应用,讲的还是非常好的。(MATLAB Wavelet Analysis and Application of Auxiliary)

matlab环境下的delete函数的用法，以及colormap函数的用法简介(the use of the function delete in matlab)

this is matlab code for content based image retri system (CBIR) system implemented in corel

QR分解SMI算法的目的正是要避免直接来解线性方程，而是将自相关矩阵分解，并利用Givens旋转实现数据矩阵的QR分解，最终将权矢量的求解问题转化为三角线性方程组的求解问题。(QR decomposition SMI algorithm, whose objective it is to avoid directly to solution of linear equations, but will auto-correlation matrix decomposition, and the use of Givens rotation implementation of the QR decomposition of data matrix, the weight vector will eventually solve the problem into a triangular system of linear equations solving the problem.)

多个位置点数据按照一定距离或者编号长度组合成一个数据(Multiple locations into one data point data according to a certain distance or number length)

应用差分方程求解波动方程，可以设定边界条件(Application of differential equation solving the wave equation, boundary conditions can be set)

数字图像处理 取出高斯噪声的有效方法.通过matlab处理(Digital image processing effective way to remove the Gaussian noise)