PSO-ACO-TSP

matlab的随机数生成算法， 产生伪随机数(matlab random number generation algorithm to produce pseudo-random number)

SPA，处理光谱数据，选择特征点，以便进行下一步操作(SPA processing, spectral data, feature selection, in order to carry out the next operation)

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

音频处理算法：语音增强技术是语音信号处理技术中的一门关键技术，本例是一种较为经典的用来估计噪声的算法程序，其实现较为简单，便于初学者学习，改程序已经通过仿真实验，并且实验结果用在方便哦的论文中。(Speech Enhancement technology is voice signal processing technology in a key technology, in this case is a more classical algorithm used to estimate the noise, its implementation is simple, easy for beginners to learn, to change the program has been through simulation experiments, and experiments results of paper in a convenient oh)

仿真利用RRT算法实现了三维状态下的航迹规划(The realization of trajectory planning under the three-dimensional state using RRT algorithm)

matlab编写的热晕相位屏仿真程序，可以仿真不同条件下的热晕相位屏(A simulation program for thermal halo phase screen written by MATLAB)

使用型mppt模块，测量输出端电压和电流，计算出功率，从而实现最大功率点的跟踪，具有实际意义(a mode of mppt，this is my Owen persision)

matlab中的一个snake算法程序，适合初学者学习使用。(a snake algorithm matlab program, suitable for beginners to learn to use.)

function [ H ,S ] = HS( f ) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1=diff(f,x1) f2=diff(f,x2) S= [f1 f2] H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)] end s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))

融合压缩感知与网络编码的多速率与变速率传输(sensing with network coding.)