dtmf

多目标遗传算法程序 to run Demo files, is to run SGALAB_demo_*.m what s new: 1) Multiple-Objective GAs VEGA NSGA NPGA MOGA 2) More TSP mutation and Crossover methods PMX OX CX EAX Boolmatrix 3) More selection methods Truncation tornament stochastic 4) mutation methods binary single point int/real single point 5) encoding/decoding methods binary integer/real messy gray DNA permuation to fix the plot bugs for 4001 , download this file and replace old files. (Multi-objective genetic algorithm program to run Demo files, is to run SGALAB_demo_*. m what s new: 1) Multiple-Objective GAsVEGANSGANPGAMOGA2) More TSP mutation and Crossover methodsPMXOXCX EAXBoolmatrix3) More selection methodsTruncationtornamentstochastic4) mutation methodsbinary single pointint/real single point5) encoding/decoding methodsbinaryinteger/realmessygrayDNA permuationto fix the plot bugs for 4001, download this file and replace old files.)

Write a MATLAB function lls_rd.m (rd stands for rank de… cient) to solve the LLS problem

一种盲源分离的联合对角化算法源代码，可以用来盲源分离多信号混叠和特征提取(A blind source separation algorithm for joint diagonalization source code, can be used to blind source separation and multi-aliasing feature extraction)

列出了matlaba最常用的工具箱函数，包括最小二乘函数，样条函数等等(Lists the most commonly used matlaba toolbox function, including least-squares function, and so on spline function)

用Hanning窗设计线性相位滤波器，绘制幅频和相位特性曲线，并在改变N的值后观察N对滤波器特性的影响及其时域特点。(Hanning window with a linear phase filter design, drawing amplitude frequency and phase characteristic curve, and change the value of N, N were observed on the filter characteristics and time domain characteristics.)

说明：  用来测试基本的协同过程cooperative,一个协作通信系统的仿真,包括AF,DF协作方式,接收端采用不同的合并方式(最大比合并,选择合并)进行合并.根据接收端不同的接收合并方式进行最优功率分配(Design of cooperative system)

说明：  里面有很多matlab的源代码，可以用于一套的数据处理。包括样本划分，光谱的预处理等(There are a lot of matlab source code, can be used for a set of data processing.Including sample division, spectral pretreatment and so on)

Harris Corner Detector GUI

x为观测信号，y为估计信号">

assingment problem With this package, I provide some MATLAB-functions regarding the rectangular assignment problem. This problem appears for example in tracking applications, where one has M existing tracks and N new measurements. For each possible assignment, a cost or distance is computed. All cost values form a matrix, where the row index corresponds to the tracks and the column index corresponds to the measurements. The provided functions return an optimal or suboptimal assignment - in the sense of minimum overall costs - for the given matrix.