Slides2

两个盲源分离程序 分别对应文章《Underdetermined Blind Source Separation using Sparse Representations》和《Underdetermined blind separation of delayed sound sources in the frequency domain》(Blind Source Separation )

Principal Component Analysis

matlab小程序实例，对掌握matlab很有用处。(matlab applet instance, the master matlab useful.)

Matlab环境下利用霍夫变换和椭圆标准公式，在二值图像上自动检测椭圆并标记。(Matlab environment using Hough transform and oval standard formula, the binary image automatically detect and mark the ellipse.)

该源代码实现一元稀疏多项式的加法，减法的运算(The source code to achieve a dollar sparse polynomial addition, subtraction computing)

对matlab的积分和微分进行了比较详细的介绍，有事例。(On matlab and differential points were compared in detail, there are examples.)

本程序的功能是将模型结果直接输出到excel中的演示(The program s function is to generate the result of the model to demonstrate in excel)

AMRA 模型 修改的Yule_walker方法( modified Yule_walker method for AMRA )

可以提取一幅图中想要的目标，多抽样率信号处理，计算多重分形非趋势波动分析。( Target can be extracted in a picture you want, Multirate signal processing, Calculate the multifractal trend fluctuation analysis.)

MUSIC算法，即多重信号分类法，经典的高分辨方位估计估计方法，好好学习一下(Multiple signal classification, which is the tipical DOA method with high resolution, should be well studied.)