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Decimation
This program apply decimation on a speech file.
- 2014-01-25 18:35:02下载
- 积分:1
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low-pass-filter-design
用频率采样法设计FIR低通滤波器,本科生毕业设计用(Undergraduate graduation design with low-pass filter design FIR frequency sampling method,)
- 2013-03-03 13:23:58下载
- 积分:1
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pca
PCA(Principal Component Analysis)预处理和最近邻分类程序(the code of Principal Component Analysis)
- 2010-08-18 10:28:01下载
- 积分:1
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svm
SVM matlab的源代码,用于建立支持向量机模型(code for svm)
- 2012-06-21 16:15:33下载
- 积分:1
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Pattern-Classification
David G. Stork,Richard O. Duda,Peter E. Hart《模式分类》Matlab程序工具箱,适合参考教材进行学习(David G. Stork, Richard O. Duda, Peter E. Hart " Pattern Classification" Matlab Toolbox program, suitable reference materials to learn)
- 2013-08-20 20:29:05下载
- 积分:1
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Codice
经典MATLAB算法,插值计算,拟合,绘图等(Classic MATLAB algorithms, interpolation, fitting, drawings, etc.)
- 2013-12-07 21:45:36下载
- 积分:1
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Computermanual
classification patterns computermanual
- 2010-07-17 03:46:23下载
- 积分:1
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allfitdist
This script selects the best fit according to BIC and AIC criterions.
- 2012-04-13 00:44:09下载
- 积分:1
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JHSantiagoTexcoco_FletcherReeves-MatLab
Prueba1 FletcherReeves
Hernández Santiago José
Maestría en Ciencias de la Computación
Septiembre / 2011
1. Comenzar con un punto arbitrario
2. Calcular Gradiente de Fi
3. Si el Gradiente Fi es igual a 0(converge), termina
4. Si el Gradiente Fi es !=0 continuar
5. Encontrar dirección de búsqueda
Si= -GradienteFi= - Gradiente F(Xi)
6. Determinar la Longitud Optima del incremento lamda(i) en dirección Si
X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi)
7. Hacer i=2
8. Obtener Gradiente Fi
9. Calcular Si= -GradFi + ( [abs(GradFi)^2]/[abs(GradF(i-1))^2] )*S(i-1)
10. Determinar la Longitud Optima del incremento lamda(i) en dirección Si
X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi)
7. Verificar Optimalidad de X(i+1)
Si es optimo, detener
Si no es optimo hacer i=i+1 e ir al paso 8
- 2013-08-08 14:30:24下载
- 积分:1
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svm测试
matlab 自带svm的测试, 用设置的数据简单测试svmtrain函数和svmclassify函数,并用图明确表示,自测结果正确,适合初学者(Matlab is equipped with SVM test, and the svmtrain function and svmclassify function are simply tested with the set data, and the figure clearly indicates that the self-test result is correct and suitable for beginners)
- 2018-08-21 14:46:32下载
- 积分:1