getsignalspower

作为MATLAB的一个重要组成部分，Simulink由于它所具有的上述的两大功能和特色，以及所提供的可视化仿真环境、快捷简便的操作方法，而使其成为目前最受欢迎的仿真软件。 本章主要介绍Simulink的基本功能和基本操作方法，并通过举例介绍如何利用Simulink进行系统建模和仿真。 (As an important component of MATLAB, Simulink because it has the two above-mentioned functions and features, as well as provide visual simulation environment, quick and easy methods of operation, which makes it the most popular simulation software. This chapter introduces the basic functions of Simulink and basic operation methods, and through examples of how to use Simulink for system modeling and simulation.)

矩形脉冲及频谱仿真程序，利用matlab实现矩形脉冲及其频谱仿真的程序(Rectangular pulse and spectrum simulation program using matlab rectangular pulse and its spectrum simulation program)

matlab入门教程，初学者可以看一下，高手就算了。(matlab Tutorial, beginners can take a look, even if the master.)

说明：  在MATLAB中表示信号的常规格式是向量或者矩阵。本示例中利用randint 函数来产生一个表示二进制数据序列连续值的列向量。其中二进制数据序列的长度（即为列向量中的行数）设置为30,000。 下面的代码同时还绘制了数据序列的杆图（stem plot），用来显示数据的0、1值。你所产生的图可能与次示例中的图有一点不一样，这是因为本示例中应用了随机数。 (Said signal in MATLAB conventional format is a vector or matrix. In this example use randint function to generate a column vector of a sequence of binary data, said successive values. Wherein the length of the binary data sequence (i.e., the number of rows in the column vector) is set to 30,000. The following code sequence of data is also plotted in Fig rod (stem plot), the value 0 is used to display the data. You may have generated the second example of FIG FIG little different, this is because the present example, the application of the random number.)

用XWindow绘制曼德博罗集，可以缩放显示，参数调整简单，附有详细说明文档。(Draw Mandelbrot Set with X-Window on Linux, can be printed with different scale, parameters can be modified with ease. Readme document attached.)

sorce code for line flow

matlab中用小波变换求故障距离的程序，精度高(xiaobo qiu gu zhang juli)

2D pca face detction

Single-Port Gigabit Ethernet Transceiver

DCT图像压缩算法。1.图象进行归一化 2.显示系数图象 3.重构及显示图象 4.显示误差图象 5.计算归一化图象的均方误差 (DCT image compression algorithm. 1. Images were normalized 2. Shows coefficient image 3. Reconstruction and display of images 4. Show the error images 5. Calculated normalized mean square error of image)