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voicebox
语音处理工具箱,用于matlab环境下,Mike Brookes编写,用于压缩和识别(Speech processing toolbox for matlab environment, Mike Brookes prepared for compression and recognition)
- 2008-12-20 10:50:48下载
- 积分:1
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L_Quxian
用 Matlab 编程模拟 李萨如曲线
两互相垂直的,频率成一定整数比例关系的简谐振动合成,合振动为有一定规则的稳定的闭合曲线,称李萨如曲线。运行程序,令a=pi/3,k=3可得李萨如曲线(simulation using Matlab programming Lissajous curve as two mutually perpendicular. frequency of a certain proportion of the whole synthesis of harmonic vibration, a vibration of a certain rules of the stability of the closed curve Li said if Savimbi curve. Operational procedures, a = pi/3, k = 3 available as Lissajous curve)
- 2007-05-25 21:42:26下载
- 积分:1
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Regression_LS_SVMlab_PSO_LuHua
说明: 运用粒子群算法优化支持向量机的参数,效果比较好(The use of particle swarm optimization algorithm for support vector machine parameters, the effect is better)
- 2008-11-17 16:23:19下载
- 积分:1
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dvr
Implementation of a 3 phase dynamic voltage restorer inverter in matlab/simulink
- 2012-06-03 21:37:08下载
- 积分:1
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strlen
function strlen and strcpy and strcut in c++ and c for use
- 2014-12-21 00:23:23下载
- 积分:1
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My_Delete_Max_min
对运动目标进行区域标记以后,去掉小面积的连通区域来消除噪声。(After the moving target region mark, remove a small area of regional connectivity to eliminate noise.)
- 2014-07-25 17:51:20下载
- 积分:1
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xian1
说明: 逼近线性模型中M估计分布的随机加权自助法,在一般的条件下证明了这种方法是强有效的。
(Approximate linear model estimated the distribution of M random weighted bootstrap, in general terms that this approach is strong and effective.)
- 2010-04-17 22:59:00下载
- 积分:1
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chap4
胡晓东,董辰辉.MATLAB从入门到精通[M]的m文件(Hu Xiaodong, Dong Chen-hui. MATLAB from entry to the master [M] m-file)
- 2011-07-27 18:07:16下载
- 积分:1
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neural-network-theory-and--code
提供神经网络的pdf和重要m文件编码,
MATLAB工具箱的神经网络理论与应用程序源代码 丛爽编,国科学技术大学出版社(Neural networks and provide important m pdf file encoding, MATLAB toolbox neural network theory and application source code compiled Cong Shuang, State University of Science and Technology Publishing House)
- 2014-09-26 10:17:16下载
- 积分:1
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fuzzy-controller
The Sugeno-Takagi-like fuzzy controller:
This controller is a two input one output fuzzy controller
The first input is the error=x
The second input is the error_dot=y(time derivative of the error)
The output of the fuzzy controller is the CHANGE in the control action and NOT the control action.
- 2013-12-01 17:59:33下载
- 积分:1