MATLAB-for-Engineers

pso解决两目标函数极值问题，适合初学多目标的同学(Pso solve two goals for beginners, the function extreme problem multi-objective classmates)

super resolution matlab

说明：  图论flord算法、哈密顿通路算法、kruskal算法、最大流算法、prim算法、旅行商算法及路由算法等等，都是由Matlab编写的图论算法程序。(Many graphic alogrithms are collected here. They includes flord, hamiltonian path, kruskal, max flow, prim, traveling salesman problem, and routing algorithms. All this are developed with Matlab.)

绘制科赫曲线，通过修改内部参数绘制不同迭代次数的曲线(Drawing Koch curve, by modifying the internal parameters of the curve plotted different iterations)

资料介绍了在matlab平台下进行语音端点检测的方法及其操作流程，端点检测使有效的语音数据得到了提取。(Information on the process of speech endpoint detection under the MATLAB platform and its operation process, the speech endpoint detection data efficiently extracted.)

matlab中的gui界面制作。包括控件，坐标，画图等一些列功能，自动打开文件等。(matlab gui interface in production. Control, coordinate, drawing a series of functions, and automatically open the file.)

高分辨率雷达 距离向压缩算法滤波器设计 三种方法 全面设计(clc clear all close all 2013年9月28日 ---------------参数---------- Tr=42e-6 fs=9.5e6 K=0.7e11 Nfft=2048 -------------匹配滤波 时域生成-------------- t=(-Tr/2+1/fs:1/fs:Tr/2-1/fs) w = kaiser(length(t),2.5) w=w w = ones(1,length(t)) ht1=w.*exp(-1i*pi*K*t.^2) ht2=w.*exp(1i*pi*K*t.^2) hf1=fft(ht1,Nfft) hf2=fft(ht2,Nfft) figure subplot(211) plot(abs(hf1)) title( 匹配滤波器1 幅频响应 ) subplot(212) plot(phase(hf1)) title( 匹配滤波器1 相位 ) figure subplot(211) plot(abs(hf2)) title( 匹配滤波器2 幅频响应 ) )

MATLAB绘图命令集与实用方法，可以实现二维一句三位立体图形的各种绘图要求(The MATLAB graphics command set and practical method can achieve the 2D a three dimensional graphics drawing requirements)

ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information (ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model- matrix with model points, data- matrix with data points, OUTPUT: R- rotation matrix and T- translation vector accordingly so newdata = R*data+ T . newdata are transformed data points to fit model see help icp for more information )

一个matlabGUI，可以对mat文件中的多个信号进行线性分析（最多三个）(A matlabGUI, can document a number of mat-signal linear analysis (a maximum of three))