pam-ook

说明：  8PSK的源程序 matlab程序示例(8PSK source of the examples Matlab)

本代码基于dwt的音频水印技术，在音频中加入高斯随机水印，达到防伪的效果。(The code is based on dwt audio watermarking technology in audio watermarking by adding Gaussian random to achieve security results.)

Computational Fluid Dynamic Finite Diferences Matlab code that simulates fluid in a cavity with a moving lid. Uses MAC method.

关于单载波频域均衡系统，判决反馈均衡的仿真。(On single-carrier frequency domain equalization using decision feedback equalization simulation material, and I hope to help you.)

该资料是一个matlab仿真程序。实现对噪声中正弦信号相位的估计。利用matlab仿真得到的PDF估计 对不同的信噪比（SNR）情况进行Monte Carlo仿真(This information is a matlab simulation program. Realize sine signal phase noise estimation. Obtained by simulation using matlab PDF estimates different signal to noise ratio (SNR) conducted Monte Carlo simulation.)

Matlab的数理统计工具箱是Matlab工具箱中较为简单的一个，其牵扯的数学知识是大家都很熟悉的数理统 计，因此在本文中，我们将不再对数理统计的知识进行重复，仅仅列出数理统计工具箱的一些函数，这些函 数的意义都很明确，使用也很简单，为了进一步简明，本文也仅仅给出了函数的名称，没有列出函数的参数 以及使用方法，大家只需简单的在Matlab工作空间中输入“help 函数名”，便可以得到这些函数详细的使用 方法。(Mathematical Statistics Toolbox Matlab Matlab toolbox is a relatively simple one, which involve mathematical knowledge is all very familiar with mathematical statistics, so in this article, we will no longer knowledge of mathematical statistics to repeat, just a list of some of Mathematical Statistics Toolbox functions, the significance of these functions are very clear, use was also very simple, in order to further concise, this were merely gives the name of the function, not listed in the function of the parameters, and use the method, we just simply the Enter in the Matlab workspace " help the function name" , it can be to use these functions in detail.)

解微分方程（组）的定步长四阶龙格库塔法算法源代码(Solution of differential equations (Group) of fixed step size fourth-order Runge-Kutta method algorithm source code)

This is the simulink model and also the matlab function code for the interleaver section in the IEEE 802.11a Transmitter Design.

this will help u on cdma system this will provide u matlab on cdma system

工程师和科学家们面临着用更少的时间建立复杂系统模型的需求，他们使用分布式和并 行计算来解决高性能计算的问题。这些分布式的环境由多处理器和多核计算机来实现。 Mathworks公司开发的分布式计算工具箱可以在多处理器计算环境中使用 MATLAB 和imulink 解决计算、数据密集型问题。可以使用该工具箱解决通过装配多个处理器包含几个单独工作单位或单个大型计算的问题。这些处理器可以驻留在一个多处理器计算机，或者，当工具箱配合 MATLAB 分布式计算引擎时，驻留在计算机集群上。(Engineers and scientists are facing with less time to build models of complex systems needs, they use distributed and parallel computing to solve the problem of high-performance computing. The distributed environment consists of multi-processor and multi-core computer to achieve. Mathworks Distributed Computing Toolbox, developed in multi-processor computing environment MATLAB and imulink solve computing, data intensive problems. You can use the toolkit to solve multiple processors by assembling several separate work units or containing a single large-scale computing problems. These processors can reside on a multi-processor computer, or, when the toolbox with MATLAB Distributed Computing Engine, it resides on a computer cluster.)