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matlabln
使用matlab书籍，简单易学，对初学者来说是很不错的一本书(a book for matlab user. It is simple to understand and easy to get into using it.)
- 2009-06-10 05:21:25下载
- 积分：1
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shuagnbihuanxitong-sheji
能计算出设计直流电机双闭环系统的参数，用于双闭环直流调速系统的设计(Be able to calculate the parameters of the design of DC double-loop system for the design of the dual closed loop DC drive system)
- 2012-06-05 22:16:04下载
- 积分：1
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DG
说明： 分布式发电技术的潮流计算，将分布式电源视为PQ与PV节点，再代入配电网络，进行简化计算(The trend of distributed generation computing technology, distributed power regarded as PQ and PV node, and then substituted into the distribution network for simplified calculation)
- 2015-06-22 12:15:40下载
- 积分：1
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Basic_Concepts_in_Matlab
basics of matlab concepts
- 2010-07-12 00:17:03下载
- 积分：1
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evolutional-game-modeling
演化博弈的仿真程序，非常实用的程序，可以画相位图(evolutional game modeling)
- 2020-10-15 13:37:29下载
- 积分：1
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Hormonicsgeneration
harmunic generation in power system in matlab simulink
- 2013-09-08 15:25:46下载
- 积分：1
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LMS_sys_iden
LMS算法在系统辨识中的应用，用LMS算法跟踪未知系统的权矢量，最终使得更新的权矢量与未知系统权矢量相吻合(LMS algorithm applied in the system identification)
- 2014-11-13 22:17:32下载
- 积分：1
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OOP
object-oriented programming
- 2013-11-25 22:36:53下载
- 积分：1
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fds60
ace Detection Program for MATLAB 2013a
using Gabor Feature Extraction and Neural Networks
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1- copy all files and directories to the MATLAB s work folder
* In order to run the program you must have Image Processing and Neural Networks Toolboxes
2- (Important) Navigate to the root folder which contains "main.m".
3- Type "main" or "run main" in the command window
4. Only fort the first time, the program creates
Gabor filters and stores them in ./data/gabor.mat
Training set dataset and stores it in ./data/imgdb.mat
Neural Network and stores it in ./data/net.mat
5- imgdb is short for "image data base".
6- When the program menu appears click on "Train Network" and wait until the program is
done with the training
- 2014-01-02 17:20:34下载
- 积分：1
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RLS
仿真对象如下：
其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。
选择如下辨识模型：
加权阵取Λ = I。
衰减因子β = 0.98，数据长度 L = 402。
辨识结果与理论值比较，基本相同。辨识结果可信
(he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)
- 2012-12-28 15:49:33下载
- 积分：1
