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shuzhi
计算最速下降法和黄金分割法的程序，计算结果精确。(Calculation of the steepest descent method and the golden section method of procedure, precise results.)
- 2009-06-05 21:30:26下载
- 积分：1
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dt_cwt__texture
基于纹理的数字图像检索MATLAB代码,不错.(Texture-based Image Retrieval System)
- 2009-05-13 21:44:17下载
- 积分：1
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cylinder1
可以输出数据后期绘制的圆柱绕流 matlab编写的 带有可视化(Can be drawn in the latter part of output data flow around a cylinder with a written visualization matlab)
- 2010-01-24 18:43:42下载
- 积分：1
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gademo
Genetic algorithm demostration illustrating a case of a travelling salesperson
- 2010-08-01 23:54:09下载
- 积分：1
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LMS-algorithm-
自适应滤波器是一种参数可自适应调整的有限冲激响应(FIR)数字滤波器，具有非递归结构形式。介绍了自适应滤波器的基本原理，用LMS自适应算法来仿真，得到LMS算法在自适应滤波中的收敛特性。(Adaptive filter is an adaptive adjustment of parameters can be finite impulse response (FIR) digital filter, with a non-recursive structure. Describes the basic principles of adaptive filter with LMS adaptive algorithm simulation, LMS algorithm in adaptive filtering convergence characteristics.)
- 2011-11-03 20:11:39下载
- 积分：1
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reco_toolx
video scence recognition tool in matlab
- 2013-11-11 22:54:25下载
- 积分：1
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filtrosGausianos.m
Procesamiento de imágenes filtro
- 2013-05-16 15:16:19下载
- 积分：1
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MatlabCommand
MATLAB命令大全，包含绝大部分的命令、各种操作符的应用说明。(MATLAB command Daquan, including most of the commands, the application of a variety of operator instructions.)
- 2010-08-25 22:31:29下载
- 积分：1
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genzong
本论文对跟踪闭环系统进行了设计，主要应用的是Matlab中的仿真构件，可以很好的跟踪目标，而且在其中对闭环系统进行了详细介绍，涉及到了卡尔曼滤波(The thesis of the closed-loop system was designed to track the main application is the simulation of Matlab component, can be a good target tracking, but also on the closed-loop system in which a detailed introduction on to the Kalman filter)
- 2010-05-22 14:52:37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
