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2dBEM
二维边界元Matlab程序 附初始条件 运行结果 (2D Matlab BEM program)
- 2009-06-08 14:04:37下载
- 积分：1
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BCJR_conv
This algorithm is reserved to the implementation of the Bahl, Cocke, Jelinek and Raviv (BCJR)
algorithm. This function take as input the channel output (corrupted
data) and the a priori prob (we will set it to 1/2) and returns as output
the APP Log Liklihood Ratio (LLR) for every data input. It is usually called a
Soft Input Soft Output (SISO) decoder. It can be applied to any code
having a finite state machine, in our case we will use it for rate-1/n convolutional codes.
- 2013-02-03 03:08:58下载
- 积分：1
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pi_pso
Using ITSE as objective function tuning of PI controller using Particle Swarm Optimization technique
- 2011-11-19 18:24:45下载
- 积分：1
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satellite_attitude_control
执行机构采用飞轮控制的卫星姿态控制系统仿真(attitude control system simulation of wheel controlled satellite )
- 2021-04-05 12:19:03下载
- 积分：1
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基于cyclic-MUSIC的DOA估计Matlab仿真
doa超分辨算法是当前雷达测角的研究热点。music算法是此类算法的基础。该仿真程序有助与迅速了解算法流程。(DOA super-resolution algorithm is the research hotspot of radar angle measurement. The music algorithm is the basis of this kind of algorithm. The simulation program helps to quickly understand the algorithm flow)
- 2020-06-28 09:20:01下载
- 积分：1
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fuzzycontrol
这是一个模糊pid控制的matlab程序。(This is a matlab program of fuzzy control pid.)
- 2010-11-04 11:10:53下载
- 积分：1
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MATLABjingdianchengxu
matlab的经典算法程序。包括差值拟合与规划问题；绘图；数据分析与解方程等。还有ppt说明。(classic algorithm matlab program. Including the difference between the fitting and planning issues drawing data analysis and solution of equations and so on. There ppt instructions.)
- 2009-12-31 11:21:29下载
- 积分：1
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MatLab7
MatLab7编程基础ppt, 适合新手(MatLab7 programming basics ppt, for novice)
- 2012-05-13 10:57:43下载
- 积分：1
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RBF为径向基函数，RBF网络把网络看作对未知函数的逼近器
说明： RBF为径向基函数，RBF网络把网络看作对未知函数的逼近器。输入信号为正弦信号u(k)=0.35sin(3*pi*t)，采用时间为0.001s,网络隐层神经元个数取m=4，网络结构为输入层2-隐层4-输出1，网络的出事全职取随机值，高斯函数的初始值取Cj=[0.65,0.65]T,B=[1.35,1.35,1.35,1.35]T,网络的学习参数取a=0.07,n=0.9。(RBF is a radial basis function, and RBF network regards the network as an approximator to the unknown function. The input signal is sinusoidal signal u(k)=0.35 sin(3*pi*t), the time is 0.001s, the number of hidden layer neurons is m=4, the network structure is input layer 2-hidden layer 4-output 1, the network accident takes random value full-time, the initial value of Gauss function takes Cj=[0.65, 0.65] T, B=[1.35, 1.35] T, the learning parameters of the network take a=0.07, n=0.9.)
- 2019-01-06 19:55:58下载
- 积分：1
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NA-Proj
多种曲线拟合牙齿轮廓,有最小二乘法，beizer曲线，Newton插值，拉格朗日插值法……(interpolation to contour teeth)
- 2010-10-14 16:33:03下载
- 积分：1
