FDFD_for_PCF_dispersion

一维奇异摄动问题（对流扩散问题）的有限元程序源代码。(One-dimensional singular perturbation problem of the finite element program source code.)

MATLABFILES images texture GABOR

仿真4-PAM通过awgn的误比特率性能(Bit error performance simulation of 4-PAM signal through the AWGN channel after the)

说明：  neural network in matlab

asa r rtr tr tr rtrtewet

冈萨雷斯)matlab版图形处理工具箱 (Gonzalez) matlab version of graphics processing toolbox)

包含Matlab100个简单实用的例子，您可以通过对这些例子的使用，逐渐熟悉和掌握Matlab。(Matlab100 contains a simple practical example, you can through the use of these examples, to become familiar with and mastering the Matlab.)

Matlab鼠标画图,用pop-up menu选择画图标记,颜色edit记录鼠标坐标 但是功能比较简单，只能画线，不能画矩形、椭圆等 其中一个难点就是：拖动鼠标的过程中如何显示矩形/椭圆的轮廓，并且轮廓跟着鼠标指针移动。 程序的亮点： 1、可选择点、线、矩形、椭圆进行画图； 2、可选择marker、LineTyple进行画图； 3、可选择画图颜色； 4、可实时显示鼠标指针当前坐标； 5、可清除画板； 6、可保存画好的图(bmp、jpg、gif)； 7、操作比较人性化，模仿了windows画板； 8、该程序牵涉的面广，是一个很好的GUI学习资料。 (Matlab mouse drawing, with the pop-up menu select the drawing marks, color edit record mouse coordinates, but relatively simple function, can only draw a line, not drawing rectangles, ellipses, etc. One of the difficulties is this: how the process of dragging the rectangle/oval contours, and outline follow the mouse pointer moves. Program Highlights: 1, select point, line, rectangle, ellipse for drawing 2, optional marker, LineTyple the drawing 3, choose paint colors 4, real-time display the current coordinates of the mouse pointer 5, to clear the drawing board 6, save-drawn map (bmp, jpg, gif) 7, operation more user-friendly, imitating the windows drawing board 8, the program involved a wide range, the GUI is a good learning materials.)

以matlab为开发语言的卡尔曼滤波，英文教材，对学习卡尔曼滤波很有帮助(The matlab language Kalman filter for the development of English teaching materials, useful for learning Kalman filter)

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