-
SFO
这是有关图像处理的一个matlab源码，它可以在我们编程时直接调用。(It is about a matlab source code image processing, it can be called directly in our programming.)
- 2010-12-11 10:41:01下载
- 积分：1
-
Simulated-annealing-algorithm
模拟退火算法，计算复杂函数极值，可以通过这个函数计算最值，得出最优解(Simulated annealing algorithm, the computational complexity of the function extreme value, you can calculate the value of this function, the optimal solution)
- 2011-04-27 17:35:15下载
- 积分：1
-
tabs
用matlab gui 实现界面互相切换功能 给你带来新的方法 创建不同类型的界面(matlab gui )
- 2011-12-01 19:29:11下载
- 积分：1
-
RaiseCosFilter
升余弦滤波器，matlab编程，从csdn上下的(raised cosine filter)
- 2014-02-17 20:17:34下载
- 积分：1
-
cyclic-spectrum
分数低阶循环谱程序，用于计算循环平稳循环的分数低阶循环谱(Fractional lower order cyclic spectrum program for calculating the fractional lower order cyclic spectrum of the cycle.)
- 2016-01-03 15:53:10下载
- 积分：1
-
travailenmat
matlab programming for clustering pam , k-means , dbscan , optics for image segmentation
- 2009-04-06 21:34:24下载
- 积分：1
-
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
-
weightmedian
用matlab对lenna图像进行处理，方法是自适应加权中值滤波，自己写的。(Lenna with matlab image processing of the method is adaptive weighted median filter, write your own.)
- 2011-11-29 22:22:13下载
- 积分：1
-
demofun
This is a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments.
- 2015-01-18 05:53:25下载
- 积分：1
-
numericalanalysis
本工具包给出了数值分析这门课程中所涉及的所有问题所需程序。很不错(The kit gives the numerical analysis in this course all the issues involved in the necessary procedures. Very good)
- 2010-11-24 10:10:10下载
- 积分：1
