c8_PSDexample

Matlab的M文件编写的数控插补2D直线算法仿真。具体参数可使用：X-500,Y-600，Fc-600，Fs-0，Fa-0，at--200.仿真的本意是为了验证DSP上同类插补算法的正确性(Matlab M-file to prepare the CNC interpolation algorithm for 2D simulation of a straight line. Specific parameters can be used: X-500, Y-600, Fc-600, Fs-0, Fa-0, at- 200. The simulation is intended to verify the DSP on the correctness of the same interpolation algorithm)

用MATLAB编程 主要讲解小波变换的一些知识包括源代码，适用于研究小波变换的人(Mainly on the use of MATLAB programming knowledge, including some of the wavelet transform source code, for the people of wavelet transform)

bayesian classification performed for luekemia cancer cells data set

A guide to Matlab for Beginners and experienced users, A Guide to MATLAB Object Oriented Programming, The Handbook Of Data Mining, Matlab - Creating Graphical User Interfaces,(A guide to Matlab for Beginners and experienced users, A Guide to MATLAB Object Oriented Programming, The Handbook Of Data Mining, Matlab- Creating Graphical User Interfaces,)

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

包含图像配准的基本操作，可以进行两幅图像的基本配准，从歪斜的图像恢复至正确的图像(Contains the basic operation of image registration, two images can be the basic registration, the images from the skew to the right of the image restoration)

一个非常红的画图程序，非常有意思，再此上传下(A very red paint program, very interesting, upload it again next)

关于多选择背包的很好的文章，提供了各种设计思路(Multiple Choice Knapsack Problem Example of planning choice in transportation )

人体检测，人体检测，人体检测，人体检测，人体检测，(humanbody detection)

脉冲压缩处理。对采集到的源信号进行处理并仿真，最后将不同的信号进行比较和验证抽样定理。(Pulse compression. The source of the collected signals are processed and simulated, and finally comparing the different signals and verification sampling theorem.)