T-S_FUZZY_MODEL

基于双同步坐标系解耦的matlab仿真文件(Based on dual- synchronous coordinate decoupling matlab simulation files)

模拟退火算法的MATLAB实例，包含图作色，旅行商等多个问题的例子。(Simulated annealing algorithm of MATLAB examples, including Fig作色, traveling salesman problem, and many other examples.)

abc algorithm optimization program considered all the parameter....

蒙特卡罗算法matlab实例，介绍了matlab的蒙特卡罗算法的具体使用方法(Monte Carlo algorithm matlab example, introduced the specific use of the Monte Carlo algorithm matlab)

利用matlab程序设计出匹配滤波器的功能源码(Procedures designed to use matlab function of matched filter source)

A code for image processing

本文提出了一种适用于低轨卫异扩频通信系统的多普勒频移快捕方法.该方法基于数字匹配滤波器及自动频率控制环路_利用数字匹配滤波器的囚码快捕特性及其输出主相关峰值对频偏的敏感性，缩短多普勒频移的 捕获时间.论文首先推导了多普勒频移的平均捕获时间表达式，然后根据数值分析结果得到了准最佳捕获判决策略，最后通过比较验证了该快捕方法相对于传统串行捕获方法在性能上的提高. (This paper presents a low-orbit health for different spread spectrum communication system fast catching the Doppler shift method, which based on digital matched filter and automatic frequency control loop _ prisoners using digital matched filter code features rapid acquisition and the output of the main correlation peak frequency deviation of the sensitivity of the Doppler frequency shift to shorten acquisition time. paper first derive the mean Doppler shift acquisition time expression, then the numerical results obtained quasi-optimal capture decision strategies, and finally verified by comparing with the rapid acquisition method to capture the traditional method of serial improvement in performance.)

MATLAB 中如何画眼图MATLAB 中如何画眼图MATLAB 中如何画眼图(matlab how to draw eyematlab how to draw eyematlab how to draw eyematlab how to draw eye)

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

audio player USING MATLAB AND GUI TO RUN THIS FILE USE THE FILE A.M