Kalman

卡尔曼滤波对PID控制的噪音滤除。给出滤波器对控制干扰和测量噪声具有很好的滤波作用(Kalman filter on the PID control filter out the noise. Give filters to control interference and measurement noise filter has a good role)

一个关于指纹识别的MATLAB编程，对大家会有帮助的(A fingerprint identification on MATLAB programming, it would be helpful to everyone)

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

It contains Newton and secant method in order to calculate the approximation to the axis cuts

— In ultra-wideband (UWB) indoor dense multi-path transmission environments, traditional coherent Rake receiver requires estimation of channel parameters. Moreover, in order to collect enough signal energy from dense multi-path components, the number of Rake fingers must be large enough. Consequently, the receiver structure is too complex to be implemented in practice.

Basic top gravity scenario, nothing fancy. Items do not fill the screen.

Digital Signal and Image Processing using MATLAB

本代码是王岩数理统计与MATLAB工程数据分析一书的所有源代码。特点着重基础、强化应用、便自学，是工程数据分析一本很好的书，代码说明也较为详细，本人极力推荐！(This code is WangYan mathematical statistics and data analysis of the MATLAB project book all the source code. Based on characteristics, strengthening the application, and self-study, engineering data analysis is a very good book, code and a more detailed instructions, I highly recommend!)

说明：  直接运行Demo文件即可，本算法案例是两源信号卷积混合，基于同一信号相邻频点能量相关的方法对频域盲源分离信号进行排序(The demo file can be run directly. The case of this algorithm is the convolution mixing of two source signals. The Blind Source Separation (BSS) signals in frequency domain are sorted based on the energy correlation method of the adjacent frequency points of the same signal)

This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm reference: 《LMS算法的频域快速实现》 LMS is modified by XXX in XXX place, see details in XXX relevant document(This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm reference: LMS algorithm in frequency domain rapid LMS is modified by XXX in XXX place, see details in XXX relevant document)