my_emd

说明：  用来产生多变量高斯过程的MATLAB源程序。(MULTI_GP generates a multivariate Gaussian random process with mean vector m (column vector) and covariance matrix C。)

MATLAB的一些常用程序，都很简答，但很实用，适合初学者(MATLAB for some commonly used procedures are short answer, but very useful for beginners)

关于系统辨识和自适应分析的ppt教学分析，通俗易懂。(Ppt teaching analysis on system identification and adaptive analysis, easy to understand.)

matlab与VC的图像处理的混合编程源代码,如果对于混合编程有兴趣的人这是不可多得的好程序!(matlab image processing and VC hybrid programming source code, if there is interest for mixed programming of the people This is a rare good program!)

使用自然梯度盲分离算法，实现对四个亚高斯信号的分离，并从分离结果可总结出盲分离算法的两个不确定性。同时给出了串音误差。(Blind separation using the natural gradient algorithm to achieve the separation of the four sub-Gaussian signals, and the separation results can be summarized from the blind separation algorithm of two uncertainty. Crosstalk error is also given.)

最常用的俄语词组，帮助大家记忆，给大家提供一个词组的汇总(The most commonly used Russian phrases to help you remember, give us a summary of the phrase)

matlab---经济和金融相关问题求解(matlab--- economic and financial problem solving)

matlab图像处理实例详解——数字图像的运算(matlab image processing example explanation- digital image computing)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。(Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for )

matlab源码，对稀疏编码算法的实现以及测试，内含详细程序。(The matlab source code, implementation and testing of sparse coding algorithm, containing detailed program.)