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use MATLAB anasys single freedom system mechanism vibrancy experimentation(use MATLAB anasys single system me freedom chanism vibrancy experimentation)

matlab卷积码编译码译码器设计仿真，做毕业论文很有参考价值(matlab convolutional code decoder codec design simulation, doing thesis of great reference value)

使用CAV方法求解病态方程组，得出较为精确的解，(Using the CAV method for solving equations ill, arrive at a more accurate solution,)

基于matlab的动态物体捕捉程序代码，备注详细，方便初学者学习(Capture-based dynamic object matlab program code, detailed notes, easy for beginners to learn)

基于Matlab编写的语音端点检测程序，希望对大家有帮助(prepared based on Matlab voice endpoint detection procedures, we hope to help)

Itools GUI 是itools box的GUI界面，由Lars Nø rgaard 和 Riccardo Leardi提供(Itools GUI is a freeware Gui(Graphical User Interface) for the Itools toolsbox by Lars Nø rgaard and Riccardo Leardi)

说明：  倒立摆，Inverted Pendulum ，是典型的多变量、高阶次 ，非线性、强耦合、自然不稳定系统。倒立摆系统的稳定控制是控制理论中的典型问题 ，在倒立摆的控制过程中能有效反映控制理论中的许多关键问题 ，如非线性问题、鲁棒性问题、随动问题、镇定、跟踪问题等。因此倒立摆系统作为控制理论教学与科研中典型的物理模型 ，常被用来检验新的控制理论和算法的正确性及其在实际应用中的有效性。从 20 世纪 60 年代开始 ，各国的专家学者对倒立摆系统进行了不懈的研究和探索。(Inverted pendulum is a typical multivariable, high order, nonlinear, strongly coupled and naturally unstable system. The stability control of inverted pendulum system is a typical problem in control theory. Many key problems in control theory can be effectively reflected in the control process of inverted pendulum, such as nonlinear problem, robustness problem, servo problem, stabilization, tracking problem, etc. As a typical physical model in the teaching and research of control theory, inverted pendulum system is often used to test the correctness of new control theory and algorithm and its effectiveness in practical application. Since the 1960s, experts and scholars from all over the world have made unremitting research and Exploration on the inverted pendulum system.)

multicasting in routing protocols

是matlab写的Reinhard的颜色传输算法代码(Reinhard color transfer algorithm code matlab write)

应用鸟群算法（PSO）优化全局神经网络权值，可以使用(Applications birds (PSO) algorithm to optimize the overall neural network weights, you can use)