attachments

说明：  整个系统分为数据采集和数据分析两大部分，以友好的图形界面与用户进行交互沟通。 声音数据采集部分实现数据采集功能,根据用户选择的采样频率和预设的采样时间来从声卡获得用户需要的数据。并且将采集到的数据及其频谱图以图形方式很直观的呈现于用户面前。 图像采集分析部分，读入图像后，根据选择，对其进行Linear Conformal、Affine、Projective、Polynomial、Piecewise Linear、Sinusoidal、Barrel、Pin Cushion变换(The whole system is divided into data collection and data analysis of two parts, with a friendly graphical interface to communicate with the user interaction. Sound data collection part of the data collection function, according to user-selected sampling frequency and sampling time to the default user from the sound card to obtain the data needed. And the collected data and the spectrum is very intuitive graphically presented in front of the user. Image acquisition and analysis section, read the image, based on the choice of its Linear Conformal, Affine, Projective, Polynomial, Piecewise Linear, Sinusoidal, Barrel, Pin Cushion Transformation )

lab 7 assignment for matlab

matlab codes for numerical integration

Impulse response of a continuous-time Gaussian filter

This contains the genetic algorithm permutation and radial basis function

说明：  输入一个整数，求它的各位数字之和及位数. 例如234的各位数之和是9，位数是3。(inport a number putout anumber aaaaaaaa)

Matlab code for active clustering in wireless sensor networks.

说明：  基于SVM对高光谱图像进行分类MATLAB仿真(Classification of hyperspectral images based on SVM)

本程序通过优化ICA算法实现了混合图像的盲源分离，分离效果优于一般ICA算法(This procedure optimized ICA algorithm is a mixed picture of blind source separation, separation is better than the general ICA algorithm is)

matlab遗传算法工具箱函数及实例讲解2 【问题】在－5<=Xi<=5,i=1,2区间内，求解 f(x1,x2)=-20*exp(-0.2*sqrt(0.5*(x1.^2+x2.^2)))-exp(0.5*(cos(2*pi*x1)+cos(2*pi*x2)))+22.71282的最小值。 (matlab genetic algorithm toolbox function and examples to explain the problem [2] in-5 )