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second
数字信号处理与应用，包含是与特征值的求取(Digital signal processing and applications，including characteristic value and the calculating
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- 2012-05-02 10:25:29下载
- 积分：1
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CFD2_lc
有限体积法求解一维欧拉方程，有助于理解近似黎曼解的概念(Finite volume method for solving one-dimensional Euler equations, contribute to an understanding of the concept of approximate Riemann solutions)
- 2007-09-10 14:19:21下载
- 积分：1
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caishuzi
由电脑随机产生一个整数，让用户去猜，如果用户猜的比电脑大，则输出“大了，再小点！”，反之则输出“小了，再大点！”(An integer randomly generated by computer, allowing users to guess, if you guess more than a computer major, then the output of the "big, and then dot!", Otherwise the output is "small, then big points!")
- 2009-11-16 17:31:26下载
- 积分：1
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PDSCH
LTE 下行物理共享信道信号传输过程的仿真。(LTE downlink physical shared channel signal transmission simulation.)
- 2011-04-26 20:40:36下载
- 积分：1
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simulink
非常好的SIMULINK建模与仿真教程，有助于学习Simulink动态仿真！(Very good SIMULINK modeling and simulation tutorial, Simulink dynamic simulation help to learn!)
- 2012-08-14 17:55:16下载
- 积分：1
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WinRAR-ZIP
文件包含现代控制理论中的一些控制程序，可供初期学习者使用，这些都是matlab中所没有的程序。(File contains a number of modern control theory control procedures for early learners, these are programs that are not in matlab.)
- 2013-11-28 21:26:20下载
- 积分：1
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HardwareInterfacing-master
说明： FGDFJSDVKJWBLVWBVWKEVNWEJKVWqleK
- 2019-03-28 04:09:08下载
- 积分：1
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ipf8
Transfer functions between interfaces can be easily calculated by division of the total (=upward+downward) displacement response on the corresponding interfaces.
- 2012-07-06 18:16:58下载
- 积分：1
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chambolle-projection
这是Chambolle的投影算法（projection algorithm）的matlab 代码。proj.m为主程序，另外两个为调用程序。(This is the Chambolle' s projection algorithm of the matlab code. proj.m the main program, the other two for the caller.)
- 2011-05-06 10:51:31下载
- 积分：1
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Pso
模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。
(Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)
- 2007-10-24 14:45:05下载
- 积分：1
