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This is a matlab file that is simulating minimum shoft keying signals. This is a simulink file and pulse shaping is also used in it.

本例程是利用MATLAB作为开发工具，编写代码实现卷积的数值运算(This routine is to use MATLAB as a development tool to write code to achieve the numerical convolution of)

TUTORIAL FOR UW NETWORK CODING USING OPNET AND MATLAB

IEEE-30 bus test system data files including the matlab data files

自己编的，基于自然梯度的盲源分离算法，如果想对自然梯度有所了解，可以参考Amari的经典文章。网络上一搜就行。(own series, based on the natural gradient algorithm blind source separation, if you want to understand the natural gradient. Amari can refer to the classic article. Networks found on a trip.)

perceptron and LMS learning demos

说明：  灰色预测模型matlab程序标签：灰色模型 gm(1 1) 二次拟合 matlab(Gray prediction model matlab program tags: gray model of gm (1 1) quadratic fit matlab)

optimization methods and algortihms

MATLAB教学代码，包括37个短代码M文件，文字包含执行基本线性代数计算MATLAB命令文件等。(The MATLAB Teaching Codes consist of 37 short, text files containing MATLAB commands for performing basic linear algebra computations.)

这篇文章是盲信号处理，因为是英文文章，所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that is widely used but poorly understood. The goal of this paper is to dispel the magic behind this black box. This tutorial focuses on building a solid intuition for how and why principal component analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally, nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers of all levels will be able to gain a better understanding of PCA as well as the when, the how and the why of applying this technique.)