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juzhen
这是用四种方法写的矩阵相称问题，有传统的，有两种优化的，还有一种是分治法(This is a matrix with four ways to write the issue of proportionality, there are traditional, there are two kinds of optimization, there is a divide and conquer)
- 2010-12-14 10:52:19下载
- 积分：1
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maga
说明： 能够用来求解部分关利用遗传算法的优化模型。。(Relations can be used to solve some of the optimization model using genetic algorithms. .)
- 2011-02-21 13:18:21下载
- 积分：1
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MATLAB_Simulink_for_Digital_Communication_program
Power quality generation of voltage sags. All kinds of sags can be generated.
- 2014-09-09 21:50:01下载
- 积分：1
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MatLab加密与解密
MATLAB对于语音信号的加密与解密程序！(MATLAB for voice signal encryption and decryption program!)
- 2020-07-05 13:18:59下载
- 积分：1
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randtest(NIST)
随机性的NIST测试matlab程序，包含十五种测试指标，功能齐全！(The NIST test for randomness,it contains fifteen tests.)
- 2021-04-06 21:19:02下载
- 积分：1
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zhaoxiaopu
位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。
网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）=
取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为
y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2)
始值为，kp=20， kd=0.3， ki=0.1。
(Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)
- 2013-07-22 21:20:28下载
- 积分：1
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gmsk
gmsk的源代码，包括了调制，以及有关Vertib编码的代码(GMSK source code, including the modulation, as well as the encoding code Vertib)
- 2008-03-08 11:15:43下载
- 积分：1
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QPSK_TX
说明： 采用伪随机码对OPSK发射机进行性能仿真(pseudo-random code of conduct OPSKmodulating and demodulating Transmitter Performance Simulation)
- 2005-12-28 19:38:26下载
- 积分：1
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music_linear
music线性算法，用于dsp实验中数据的产生。(music linear algorithm for generating dsp experiment data.)
- 2013-12-31 11:24:50下载
- 积分：1
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势场法-改进
通过这一算法可以实现二维平面内无人机的路径规划。在该平面内存在已知的障碍，势场法通过给终点添加引力，对障碍增加斥力，使得无人机能够顺利的避障并到达终点。通过对传统势场法的改进，避免了无人机容易陷入极值的问题，使搜索更易实现。(Through this algorithm, the path planning of the UAV in the two-dimensional plane can be realized. There are known obstacles in the plane. The potential field method adds gravity to the terminal to increase the repulsion for obstacles, so that the UAV can avoid obstacles and reach the terminal smoothly. Through the improvement of the traditional potential field method, it avoids the problem that the UAV is easily trapped in the extreme value and makes the search more easy to be realized.)
- 2018-01-09 09:44:50下载
- 积分：1
