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top3d
说明: MATLAB三维拓扑程序,可以进行三维拓扑优化(Matlab 3D topology program)
- 2019-11-21 15:55:17下载
- 积分:1
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MATLABhistogram
不用MATLAB自带函数求解灰度图像的直方图(MATLAB function to solve do not own histogram)
- 2009-04-19 21:21:34下载
- 积分:1
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111222
无刷电机的仿真模型,取合适的参数,模型仿真结果很逼真,(Simulation model of the brushless motor, take the appropriate parameters, the model simulation results are realistic,)
- 2011-01-17 22:00:13下载
- 积分:1
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SuportVectorMachine_Library
This toolbox was designed as a teaching aid, which matlab is
particularly good for since source code is relatively legible and
simple to modify. However, it is still reasonably fast if used
with the supplied optimiser. However, if you really want to speed
things up you should consider compiling the matrix composition
routine for H into a mex function. Then again if you really want
to speed things up you probably shouldn t be using matlab
anyway... Get hold of a dedicated C program once you understand
the algorithm.
- 2012-06-10 07:39:31下载
- 积分:1
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2dfem
二维 有限元 三角形 插值积分 很不错(Dimensional finite element triangle Quadratures very good)
- 2014-12-17 10:59:08下载
- 积分:1
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graphic_equalizer
this package is used for the design of digital graphic equalizer that can be used in mobile environment after optimization
- 2009-05-12 12:57:05下载
- 积分:1
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matlab-PID-
用matlab实现了PID 控制的编程,得到了较好的控制效果(Realize a PID control with matlab programming, get a better control effect)
- 2011-11-22 15:53:43下载
- 积分:1
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Rayleigh-Fading-dai-ma
实现瑞利衰落的仿真,利用改进的jakes模型来产生单径的平坦型瑞利衰落信道。(Realize the simulation of Rayleigh fading, improved jakes model is used to produce a single type of flat Rayleigh fading channel.)
- 2013-11-10 14:06:08下载
- 积分:1
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LMS_RLS_sim
功能描述:测试LMS与RLS算法,比较两种算法的收敛特性
文件名:LMS_RLS_sim.m
测试用例:
x(n)+a1*x(n-1)+a2*x(n-2)=e(n),a1=-1.6,a2=0.81,e(n)为高斯白噪声
文件输出:系数a1的值
调用函数:function [A] = LMS_Algo(M,N,mu,xn)
被调用:无
作者:mingcheng
编写时间:2009-10-13
修改时间:2009-10-13
版本:V1.0 ( Function Description: Test LMS and RLS algorithm, the convergence characteristics were compared file name: LMS_RLS_sim.m test case: x (n)+ a1* x (n-1)+ a2* x (n-2) = e (n), a1 =- 1.6, a2 = 0.81, e (n) is Gaussian white noise file output: the value of coefficient a1 call the function: function [A] = LMS_Algo (M, N, mu, xn) is called: No of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0 )
- 2010-07-11 12:15:54下载
- 积分:1
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DRNNTunningPIDControlerforcouplingplant
DRNN神经网络自学习PID解藕控制,与PID相比具有抗干扰能力强特点(DRNN self-learning neural network PID control solution lotus, compared with PID characteristics of anti-interference ability)
- 2009-07-12 16:28:41下载
- 积分:1