DblTraprl

example about vibration

完整的GSM信道编码 为话音信道的卷积编译码 还有交织(integrity of the GSM channel coding for voice channel convolution encryption also intertwined)

免疫算法的matlab代码，应该比较好用，谢谢支持！(immune algorithm Matlab code, it should be more convenient, thank you support!)

Driver for Digigram miXart soundcards.

这是余成波的一本关于 数字图像处理与MATLAB实现的书。有需要的看看(This is the one about Yucheng Bo digital image processing and MATLAB realization of the book. There needs to look at)

相控阵天线的方向图（切比雪夫加权），合成孔径雷达（SAR)目标成像仿真，时间序列数据分析中的梅林变换工具，可以实现模式识别领域的数据的分类及回归，使用混沌与分形分析的例程，基于互功率谱的时延估计。(Phased array antenna pattern (Chebyshev weights), Synthetic Aperture Radar (SAR) imaging simulation target, Time series data analysis Mellin transform tool, You can achieve data classification and regression pattern recognition, Use Chaos and fractal analysis routines, Based on the time delay estimation of power spectrum.)

The following fuzzy modeling exercises run in the MATLAB environment. The interaction required by the user is guided by instructions and editable fields menus. The user can change various parameters of a system, and execute modeling commands to verify the resulting system. In some exercises, it is also possible to manually edit the fuzzy system initially generated with the parameters given by the user, in order to enhance and fine tune the performance of the model.

一个很棒的网络控制系统仿真软件，Truetime工具箱包括TrueTime Computer与Truetime Network 两个接口模块。计算机模块具有灵活的实时内核，A/D和D/A转换器，网络接口和外部通道。计算机模块按照用户定义的任务执行，代码采用Matlab或C++编写。(a terrific network control system simulation software, including Truetime Toolbox Truetime TrueTime Computer and Network Interface Module 2. The computer module with flexible real-time kernel, A/D and D/A converters, network interface and external access. The computer module based on user-defined mandate, code using Matlab or C preparation.)

OFDM信道仿真 包含OFDM编码调制全过程(OFDM channel simulation includes the entire process of OFDM-Coded Modulation)

此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者(This paper introduces the readers of the Proceedings to an important class of computer based simulation techniques known as Markov chain Monte Carlo (MCMC) methods. General properties characterizing these methods will be discussed, but the main emphasis will be placed on one MCMC method known as the Gibbs sampler. The Gibbs sampler permits one to simulate realizations from complicated stochastic models in high dimensions by making use of the model’s associated full conditional distributions, which will generally have a much simpler and more manageable form. In its most extreme version, the Gibbs sampler reduces the analysis of a complicated multivariate stochastic model to the consideration of that model’s associated univariate full conditional distributions.)