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Matlab__dengwenxian
说明： 属于图像处理的基本算法，用MATLAB实现了画等温线的方法。(Belong to the basic algorithm for image processing, using MATLAB a painting method isotherms.)
- 2009-08-10 12:59:56下载
- 积分：1
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Kalman
卡尔曼滤波在一维温度数据测量系统中的使用(Kalman filtering)
- 2021-01-26 13:18:42下载
- 积分：1
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Chnanel_evaluation
可以进行信道估计,准确得到信道的冲激响应，比普通的LS算法性能较好。(evaluate the pulse response of channal)
- 2010-01-04 19:46:27下载
- 积分：1
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BPAlgorithm
BP算法用MATLAB语言的实现方法 文献内系统讲述了BP网络的定义 算法 建模和应用的知识，方便大家学习使用(BP Algorithm Implementation with MATLAB language)
- 2010-05-09 14:48:34下载
- 积分：1
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20-3-case3
二次型的仿真，利用matlab实现，很好的例子啊(The second type of simulation using matlab to achieve a good example)
- 2012-05-27 22:29:44下载
- 积分：1
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boostwithpicontrol
Boost converter with PID controller
- 2013-10-18 09:01:45下载
- 积分：1
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PCA_classifier_version1b
The BCJR algorithm is an algorithm for maximum a posteriori decoding of error correcting codes defined on trellises (principally convolutional codes). The algorithm is named after its inventors: Bahl, Cocke, Jelinek and Raviv.[1] This algorithm is critical to modern iteratively-decoded error-correcting codes including turbo codes and low-density parity-check codes.
- 2015-04-14 14:32:17下载
- 积分：1
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f2matlab_3.5
This code is used for converting Fortran code to Matlab code. What you have to do is to put this toolbox in the matlab path and run it from the command line.
- 2009-10-02 17:25:10下载
- 积分：1
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matlab
《MATLAB 7[1].0编程基础基础》一书中的所有源程序。(" MATLAB 7 [1] .0 programming based on the basis of" one book, all the source code.)
- 2009-04-14 23:11:37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
