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ch01_2ed
CHAPTER 1- real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954
- 2009-03-21 21:45:45下载
- 积分:1
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Delaunay
说明: 基于德洛内三角分解的有限元划分,可形成刚度总阵(Delaunay triangulation based on decomposition of the finite element division, the total stiffness matrix can be formed)
- 2011-04-03 15:55:16下载
- 积分:1
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Numerical-Analysis-Using-MATLAB-and-Excel---Steve
Numerical Analysis Using MATLAB and Excel - Steven T. Karris
- 2013-07-24 22:56:25下载
- 积分:1
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exp4
Qpsk programming in matlab
- 2013-02-03 18:30:53下载
- 积分:1
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single-photo-resection
houfangjiaohui matlab chengxu
- 2012-12-06 09:23:21下载
- 积分:1
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图论算法及其MATLAB实现
本书系统介绍了图论重要算法的思想及其 MATLAB实现,可供数学、计算机科学、工程科学等学科中相关专业的大学生、研究生阅读,也可供相关专 业研究人员参考。(This book systematically introduces the idea of the important algorithm of graph theory and its MATLAB implementation, which can be read by college students and graduate students majoring in mathematics, computer science, engineering science and other disciplines, and can also be referred to by researchers specializing in related fields.)
- 2018-11-28 21:50:46下载
- 积分:1
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xianxingxitongdepinyufenxifa
How to apply the 2D FFT functions in Matlab
如何使用MATLAB中的FFT2对图像进行二维的FFT处理详细教程(How to apply the 2D FFT functions in Matlab
如何使用MATLAB中的FFT2对图像进行二维的FFT处理详细教程)
- 2010-01-19 16:04:26下载
- 积分:1
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CLdsk11
Three thing are there and it is here
- 2011-04-24 00:49:47下载
- 积分:1
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BP_MATLAB
包括种群初始化、选择、交叉、变异各个子程序,每一部分都作为一个单独M文件。主程序是实现遗传算法网络的训练过程;测试程序可以对训练得到的网络进行结果测试(Including population initialization, selection, crossover and mutation all subroutines, each of which as a separate M-file. Main program is to achieve genetic algorithm network training process test procedures can be trained to get the results of the test network)
- 2021-01-27 00:18:37下载
- 积分:1
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PID
多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题,常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络,它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的,是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因,每次控制的效果都有所差别,个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制,并用PSO算法来优化控制器以取得更好的控制效果。(Multivariable input, output, and more interference, complex nonlinear and strong coupling system control is a more difficult problem, commonly used multivariable controller may be because the problem is difficult to control the coupling system. PID neural network is a multi-front to neural networks, its number of neurons in each layer, connection, connection weights are in accordance with the existing principles and experience to determine the PID control law is a dynamic compliance before the control system to the network. However, due to the random initial weights of the network PID values of reason, every time there are differences in the effect of control and in some cases the control effect is still relatively poor. This case study of multivariable coupling system based on PID control neurons, and with PSO algorithm to optimize the controller to achieve better control effect.)
- 2015-03-22 13:42:37下载
- 积分:1