NLMS

equalizer respone for channel F1(Z)=.1Z^2-.25Z^1+1-.25Z^-1+.1Z^-2 for zfl with tap=7,9,15

kalman filter with one input variable

《数据挖掘新方法-支持向量机》支持向量机入门教程，介绍了回归、分类、核等问题(《Support Vector Machine》the course of the SVM,the problem of regression ,recognition, core is introduced here. )

非线性加速度法计算单自由度体系地震时程反应,刚度矩阵，地震反应(Linear acceleration method to calculate the single degree of freedom system earthquake history response, stiffness matrix, seismic response)

Synthetic aperture radar imaging provides high resolution images of large areas. The intensities of pixels in a SAR image are based on the spatial orientation, roughness, and dielectric constant of the surface imaged. SAR is an active sensor, transmitting its own energy, and then measuring the return scattered by the earth抯 surface back to the satellite抯 antenna. SAR processing is the transformation of raw SAR signal data into a spatial image. In this communication, we present a contribution concerning implementation of a SAR image formation with the IDL language. This process is performed in a frequency domain correlation of the received signal including range compression, range migration, and azimuth compression. The output is the final step in which the data is transposed back into its original format and written to an output file.

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

Face recognition in MATLAB code by Sanjeev Singh

遗传matla程序源代码，非原创，十分好用！！(Genetic matla source code)

用matlab实现了五类灰色关联度模型的计算，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度、T关联度。附带两个测试用数据列的生成函数。(Matlab achieved with five gray correlation model calculation, including the Tang correlation degree, the absolute correlation, the slope of correlation to improve the absolute correlation, T correlation. Attached to the two test data out of the generating function.)

核密度估计的parzen窗法，简单易用，适合于初学非参数估计的用户。(Kernel Density Estimation parzen window method, easy to use, suitable for novice non-parametric estimation of the user.)